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        {
            "ob_id": 33038,
            "uuid": "1e09ef1266bd4de099e3acc3e884901f",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NIWA/NIWA-UKCA2/refD2",
            "numberOfFiles": 322,
            "volume": 235652708245,
            "fileFormat": "Data are Net-CDF formatted",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 33022,
                "uuid": "9ffc2afd029442a8bf4f1dfc5b688ca4",
                "short_code": "ob",
                "title": "CCMI-2022: refD2 data produced by the NIWA-UKCA2 model at NIWA",
                "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the NIWA-UKCA2 chemistry-climate model run by the modelling team at NIWA (National Institute of Water and Atmospheric Research) in New Zealand.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n-  Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n-  A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33049,
            "uuid": "e0b5368bde12440f9a52ba9ce7461e86",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/deposited2021/rce_diabatic-heating/data/",
            "numberOfFiles": 28,
            "volume": 212425332225,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33051,
                "uuid": "1a86e0326e1346febf121eca83bf1f08",
                "short_code": "ob",
                "title": "ICOsahedral Nonhydrostatic global radiative-convective equilibrium model data, with additional diabatic heating perturbations",
                "abstract": "This dataset provides ICOsahedral Nonhydrostatic (ICON) Atmospheric Global Circulation Model (GCM) data for global radiative-convective equilibrium (RCE) 5-year simulations. Data files are provided in NetCDF format.\r\n\r\nThe RCE simulations are setup on an aquaplanet with no rotation and no diurnal cycle. To initialise the RCE state, homogenised boundary conditions are set where the solar insolation is 551.58 Wm-2 with a fixed zenith angle of 42.05. Together these values give a constant insolation of 409.6 Wm-2. This is equivalent to the annual mean tropical insolation (Wing et al., 2018). A 360-day calendar is used. The global ocean albedo is set to 0.07. Concentrations of tracers CO2, CH4, N2O and O2 are set to be constant in space and time and the O3 profile is the same as used in Popke et al. (2013). SSTs are kept globally constant throughout each simulation at either 290K or 305K. The model spin-up is done for 1 month, with horizontally homogenised radiative fluxes, where the longwave and shortwave cooling rates are averaged horizontally at each model level and timestep. Then the domain-averaged conditions over the final 5 days of these simulations are used to initialise the simulations, following Wing et al. (2018). Each simulation is then run for 5 years. Model output is given every 5 days, as a 5-day mean. Most simulations have been run with interactive radiation. However, in some, radiative feedbacks have been turned off by horizontally homogenising the radiative cooling rates at each model level and timestep, following Muller & Held (2012).\r\n\r\nSome simulations include a diabatic heating perturbation. This is achieved using the Max Planck Institute Aerosol Climatology version 2, Simple Plume (MACv2-SP) model. This model prescribes idealised aerosol plumes. Parameters that can be tailored include the aerosol optical depth (AOD), single scattering albedo (SSA), and plume spatial extent, and these are given as functions of time and wavelength. In this dataset, we remove any temporal dependence and use constant parameters for each variable. We also only use a single plume in our simulations. Experiments are performed with a single plume at latitude = 0, longitude = 0, AOD = 1.8 and SSA = 0.8. There are a couple of exceptions to this:\r\n- In file crh_aod_sensitivity.nc the AOD is varied from 0.3 to 1.8.\r\n- In files 290K_plume_homogLW_*.nc the AOD used is 1\r\n- In files 305K_plume_homogLW_*.nc the AOD used is 0.8."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33068,
            "uuid": "496b10a8e7fa40869c55fc173435e454",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2021/ukesm1_methane_emissions/",
            "numberOfFiles": 60,
            "volume": 12979666815,
            "fileFormat": "Data are netCDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 33067,
                "uuid": "d1c277836e754e279c9a964ad3d95828",
                "short_code": "ob",
                "title": "UKESM1-CH4 output for methane emissions-driven and methane LBC-driven future climate projections under SSP3-7.0 and SSP1-2.6 scenarios",
                "abstract": "This dataset contains model output for experiments using the UKESM1-CH4 emissions-driven configuration of the UK Earth System model, based on the science version (Sellar et al.,2011, DOI:10.1029/2019MS001739) coupled with the United Kingdom Chemistry and Aerosol scheme (Archibald et al., DOI:10.5194/gmd-13-1223-2020). The simulation follows the experimental design of CMIP6-sponsored ScenarioMIP (O'Neill et al., DOI:10.5194/gmd-9-3461-2016) SSP3-7.0 and SSP1-2.6 Shared Socioeconomic Pathways. These simulation span 2015-2050 and use a coupled atmosphere-ocean climate model. To assess climate model variability, three ensemble members are archived which differ only in the initial conditions for the experiment.  The data comprise annual mean output over the experimental period for temperature, ozone, methane, hydroxyl radical, precipitation and provided diagnostic air mass and diagnostics suitable for the calculation of the methane lifetime and budget.  We archive data from this methane emissions-driven configuration as NZAME/ensemble experiment as by186(ensemble 1), bz146(ensemble 2) and bz473(ensemble 3).  To improve reproducibility the UKESM1 jobids are included as identifiers.  For comparison, emissions-driven experiments are included as {Scenario}/JOBID: SSP1-2.6 (bo812), and three ensemble members for SSP3-7.0: bo797(ens 1), ca723(ens 2) and cb039(ens3)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33071,
            "uuid": "a3573bca73e642408be31e36bd535ecd",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/cloud/data/phase-1/L3U/aatsr_envisat",
            "numberOfFiles": 1,
            "volume": 1045,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [
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                    "ob_id": 13294,
                    "uuid": "3c1f0b7574f24bfa9728f2c676d386d7",
                    "short_code": "result",
                    "title": null,
                    "abstract": null
                }
            ],
            "observation": {
                "ob_id": 13293,
                "uuid": "90d9cdf99c484c6d8a26902e661eeaca",
                "short_code": "ob",
                "title": "ESA Cloud Climate Change Initiative (Cloud CCI): L3U cloud properties from AATSR on Envisat, Version 1.0",
                "abstract": "Cloud properties derived from the AATSR instrument on ENVISAT by the ESA Cloud CCI project.   The L3U datasets consists of cloud properties from L2 data granules remapped to a global space grid of 0.1 degree in latitiude and longitude, without combining any observations from overlapping orbits; only sampling is done. Common notations for this processing level are also L2b and L2G.   Data is provided with a temporal resolution of 1 day.\r\n\r\nThis dataset is version 1.0 data from Phase 1 of the CCI project."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33073,
            "uuid": "66f3704acca440aaaca0cd3662284606",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/appraise/data/clouds/man-ams",
            "numberOfFiles": 3,
            "volume": 1005834,
            "fileFormat": "NASA-Ames",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33072,
                "uuid": "e7e62b725fb44373a36fa3624f9b059e",
                "short_code": "ob",
                "title": "APPRAISE CLOUDS: aerosol chemistry from the University of Manchester Aerosol Mass Spectrometer deployed at the Chilbolton Observatory, Hampshire",
                "abstract": "Data were collected in December 2008 and January to March 2009 by the University of Manchester  Aerosol Mass Spectrometer  at the Chilbolton Observatory, Hampshire, in support of the FAAM campaign in the South-West of the UK. The dataset contains measurements of mass concentrations of organics, Sulphate, Nitrate, Ammonium and Chloride.\r\n\r\nThe data were collected for use in the CLOUDS project, which is one of multiple projects within the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) programme."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33075,
            "uuid": "6b0a442725594eb7850a869437255d00",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/igp/data/IGP_MRR2",
            "numberOfFiles": 98,
            "volume": 7816201463,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 32159,
                "uuid": "dc723f82939843f199fff78778d5b8d0",
                "short_code": "ob",
                "title": "Iceland Greenland seas Project (IGP): precipitation measurements from the University of Bergen Micro Rain Radar (MRR2) on board the NATO Research Vessel Alliance",
                "abstract": "This dataset contains measurements from the Micro Rain Radar (MRR2), manufactured by Meteorologische Messtechnik GmbH (Metek) installed onboard the NATO Research Vessel Alliance during the Iceland Greenland Seas Project. \r\nThe MRR2 is a frequency modulated (FM), continuous wave (CW) Radar (Radio Detection and Ranging) that obtains doppler spectral density at each range gate with a time resolution of 10 s. The terminal velocity of the precipitation targets (vT) is the primarily retrieved variable from these doppler spectral density observations. Additionally, drop size distribution and the corresponding moments, for example liquid water content (LWC), rain rate (RR) and Radar Reflectivity (Ze) are retrieved with post processing.\r\nThe initial installation location from 03-13 Feb 2018 was midship on the weatherdeck. At Reykjavik harbour the MRR2 worked as expected, while at sea artificial signals at three elevations appeared. The artificial signals were due to an interference on the power cable or power source. On 11 Feb 2018, a separate power source for the MRR2 could be secured, and it subsequently operated without interferences after ~12 UTC that day. For further details and figures on the MRR2 and its operation in the cruise please read the attached documentation."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33080,
            "uuid": "ec92628016a94ed89fa2311a57493186",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/eiscat",
            "numberOfFiles": 10971,
            "volume": 72204269254075,
            "fileFormat": "unknown.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 10961,
                "uuid": "8470f33ae7fb49baa9b585812c6d89ea",
                "short_code": "ob",
                "title": "European Incoherent Scatter Scientific Association (EISCAT) data",
                "abstract": "Packaged raw data from European Incoherent Scatter Scientific Association (EISCAT). If you require this data please contact the UK EISCAT Support Group directly. https://www.eiscat.rl.ac.uk/."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33081,
            "uuid": "2802b51826d545aab5dc9492b8efd401",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/sea_surface_salinity/data/v03.21/7days/",
            "numberOfFiles": 3917,
            "volume": 19354665239,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 32842,
                "uuid": "fad2e982a59d44788eda09e3c67ed7d5",
                "short_code": "ob",
                "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product, v03.21, for 2010 to 2020",
                "abstract": "The ESA Sea Surface Salinity Climate Change Initiative (CCI) consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2020 period.\r\n\r\nThis dataset contains Sea Surface Salinity (SSS) v03.21 data at a spatial resolution of 50 km and a time resolution of 1 week. It has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 1 day of time sampling. A monthly product is also available. In addition to salinity, information on errors are provided.  For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page).\r\n\r\nCompared to the previous version of the data, version 3 SSS and associated uncertainties are more precise and cover a longer period (Jan 2010-sept 2020); version 3 SSS are provided closer to land than version 2 SSS, with a possible degraded quality. Users might remove these additional near land data by using the lsc_qc flag."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33082,
            "uuid": "1cdf69a3f62044c9a7e4a37734230e2a",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/sea_surface_salinity/data/v03.21/30days",
            "numberOfFiles": 258,
            "volume": 1312695041,
            "fileFormat": "Data are netCDf formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 32841,
                "uuid": "7da8723b16e94771be1a2717d8a6e2fe",
                "short_code": "ob",
                "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product, v03.21, for 2010 to 2020",
                "abstract": "The ESA Sea Surface Salinity Climate Change Initiative (CCI) consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2020 period.\r\n\r\nThis dataset provides Sea Surface Salinity (SSS) data at a spatial resolution of 25 km and a time resolution of 1 month.  This has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 15 days of time sampling. A weekly product is also available.  In addition to salinity, information on errors are provided.  For more information, see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page.\r\n\r\nCompared to the previous version of the data, version 3 SSS and associated uncertainties are more precise and cover a longer period (Jan 2010-sept 2020); version 3 SSS are provided closer to land than version 2 SSS, with a possible degraded quality. Users might remove these additional near land data by using the lsc_qc flag."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33111,
            "uuid": "6a1083dfc1f54abcbfe84bdf1054a86c",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/surface_velocities_afar_rift/data/",
            "numberOfFiles": 2,
            "volume": 3635142350,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33114,
                "uuid": "ac43cee2bf5e4942970492209ba95e49",
                "short_code": "ob",
                "title": "Surface velocity map of the Afar Rift Zone from 2014-19",
                "abstract": "This dataset contains a map of ground movements covering the Afar Rift Zone in Ethiopia, Eritrea, and Djibouti for the time period between October 2014 and August 2019. The Afar region is located where three tectonic plates are pulling apart, creating rift segments which are 50-100 km long. Surface deformation on these segments is not constant in time, with episodes of rifting occurring periodically and magma intrusions causing sudden ground movements. We use frequent Sentinel-1 satellite Interferometric Synthetic Aperture Radar (InSAR) observations to measure surface displacements through time across the whole region. We relate these to ground based Global Navigation Satellite Systems (GNSS) observations and combine data from different satellite tracks to produce maps of the average surface velocity in three directions (perpendicular to the rift zone, parallel to the rift zone, and vertical). The continued observation of these time-varying ground movements is important for understanding how continents break up, with data here providing evidence of how tightly focussed extension is around the rift segments and of the subsurface magma movement at several volcanic centres."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33117,
            "uuid": "42168a5a7f6846c486058f2ec6b8a0f1",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/bodc/BAS210037/JRA55IAF-ORCH0083-LIM3",
            "numberOfFiles": 72063,
            "volume": 42946975904824,
            "fileFormat": "Data are CF-compliant NetCDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33116,
                "uuid": "67ad0c489e2b4d18aa152e78f28ae0c0",
                "short_code": "ob",
                "title": "1/12 degree Nucleus for European Modelling of the Ocean (NEMO) model of the Southern Ocean:  JRA55-do interannually-varying forced control run (1978 - 2017)",
                "abstract": "The dataset is a 40 year control run of a NEMO-based 1/12 degree grid spacing model of the Southern Ocean as part of the ORCHESTRA (Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports) LTS-M project. It uses the NEMO \"extended\" grid, although ice cavities are closed. The model was run on Archer, the national HPC platform. The dataset covers the full length of the model run and includes regular (5 day mean) output of the model state, as well as more frequent (1 day mean) output of surface variables and fluxes and 1 month mean of more extensive transport diagnostics. This is the second of two control runs and was initialised from the end of the 30th year (nominally 1978) of CORE2NYF (Munday et al., 2021), a 3+37 year control run forced with CORE2 (corrected normal year forcing version 2.0) normal year forcing.\r\n\r\nForced by JRA55-do, an interannually-varying forcing set (Tsujino et al., 2018). With some additional forcing as supplied by the UK Met Office (freshwater runoff, tidal friction, geothermal heating) and additional freshwater runoff to suppress polynya formation."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33118,
            "uuid": "3a7f7b7147bb445e8af12bac80703d45",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/bodc/BAS210038/JRA55ABS-ORCH0083-LIM3",
            "numberOfFiles": 36030,
            "volume": 21581304390363,
            "fileFormat": "Data are CF-compliant NetCDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33115,
                "uuid": "aa4106a7a35246dfb84fb925a7d65650",
                "short_code": "ob",
                "title": "1/12 degree Nucleus for European Modelling of the Ocean (NEMO) model of the Southern Ocean:  JRA55-do with absolute wind stress experiment (1988 - 2007)",
                "abstract": "The dataset is a 20 year experiment using a NEMO-based 1/12 degree grid spacing model of the Southern Ocean as part of the ORCHESTRA (Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports) LTS-M project. It uses the NEMO \"extended\" grid, although ice cavities are closed. The model was run on Archer, the national HPC platform. The dataset covers the full length of the model run and includes regular (5 day mean) output of the model state, as well as more frequent (1 day mean) output of surface variables and fluxes and 1 month mean of more extensive transport diagnostics. The experiment neglects the ocean surface current in the bulk formula calculations for surface fluxes, so-called absolute wind stress. It starts from the end of 1987 of JRA55IAF (Munday et al., 2021).\r\n\r\nForced by JRA55-do, an interannually-varying forcing set (Tsujino et al., 2018). With some additional forcing as supplied by the UK Met Office (freshwater runoff, tidal friction, geothermal heating) and additional freshwater runoff to suppress polynya formation."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33124,
            "uuid": "ca5968d71e3c4a159485b328d97109e9",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/eyjafjallajokull/data/eufar_operators",
            "numberOfFiles": 7,
            "volume": 2591500,
            "fileFormat": "PDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33123,
                "uuid": "09ccee191a81402687c55bd74b4deeec",
                "short_code": "ob",
                "title": "Eyjafjallajokull Volcanic Ash Cloud: Airborne Meteorology and Chemistry flight summaries from the EUFAR operators SAFIRE and DLR",
                "abstract": "The Icelandic Volcano, Eyjafjallajokull, started erupting on 14th April 2010. The volcanic ash cloud produced covered much of Northern Europe for several weeks causing extensive disruption to air travel. The UK and European atmospheric communities had many instruments - both airborne and ground-based, remote sensing and in-situ - taking measurements of the ash cloud throughout this period. This dataset contains summaries of meteorology and chemistry measurements from the EUFAR operators SAFIRE Falcon and ATR 42 aircraft 19th to 21st April 2010 and DLR Falcon Flight on 19 April 2010"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33127,
            "uuid": "8b406c5548a34b858fda966bfb7073ab",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/CSC210177/EUMR_glider_acoustics/data",
            "numberOfFiles": 39947,
            "volume": 248012636166,
            "fileFormat": "Raw acoustic data in WAV format; Spectral analyses of 10 minute segements of the acoustics files in ASCI text format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33126,
                "uuid": "096690aba290452d9b7208133274b69b",
                "short_code": "ob",
                "title": "Acoustic data collected from a glider deployment in the North Sea in June-July 2021 as part of the EU Marine Robots (EUMR) project.",
                "abstract": "This dataset consists of acoustic data collected using an icListen Smart Hydrophone (model SC35-ETH) integrated into an iRobot M1 Seaglider during a campaign in the North Sea, west of Ireland. The glider was deployed from 22nd June to 25th July 2021 as the sole glider in the campaign on behalf of the EU Marine Robots (EUMR) project. The acoustics data are provided as both raw acoustic waveform (.WAV format) files, and spectral analyses of the data (as ascii .txt files). Once the glider was recovered, the acoustics data were transferred directly from the glider and so no post processing has been completed.\r\nAn error in the instrument system led to an error in the timestamps on the data files. The first waveform was started at 2021-06-27 12:29:42, and this was recorded as 2010-01-01 00:02:30. The timestamps for all filenames and the timestamps of all records in the spectral files have been corrected for this time offset. All the filename name changes are provided in the timestamp_logs directory. In addition, some spectral files were not closed correctly and held multiple records. These files have been split into new files and timestamps corrected accordingly. The details of the new files generated are given in the SBF_recover.txt log file.\r\nThe environmental, positional and engineering parameters collected alongside the acoustic data are available through the British Oceanographic Data Centre (BODC) using the ERDDAP tool below."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33142,
            "uuid": "b2feb0f70a6d49b5a6f40afb1ccb37af",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/hitemp/data/raw",
            "numberOfFiles": 28661,
            "volume": 2597407524,
            "fileFormat": "csv",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33141,
                "uuid": "bfa7f9b9bde5414c96a281fa0a566e0c",
                "short_code": "ob",
                "title": "HiTemp: High density temperature and meteorological measurements within the Urban Birmingham conurbation. CSV version as supplied by project team.",
                "abstract": "This dataset contains  temperature and meteorological data from a high density network of meteorological sensors installed within the Birmingham conurbation: This includes low-cost, battery-powered WiFi Aginova Sentinel Micro air temperature sensors, operated at 73 stations  and 25 Vaisala WXT520 weather transmitters measuring temperature, precipitation, relative humidity, wind speed and direction, pressure, solar radiation and quality flags.   \r\n\r\nThis data is the basic Comma Separated Variable (CSV) format version as supplied by the project team.  Reformatted versions with inclusive metadata have superceded this data.\r\n\r\nThese measurements have been made by the Birmingham Urban Climate Laboratory (BUCL) for the HiTemp (High Density Measurements within the Urban Environment) project in order to study the Birmingham Urban Heat Island (UHI)"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33183,
            "uuid": "1f2c74ee63a04d2b88042bf15ff160f4",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/eumetnet-sandbox/data/metoffice-wow/v1",
            "numberOfFiles": 25,
            "volume": 49724282402,
            "fileFormat": "Data are ASCII formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33186,
                "uuid": "ea70491805b14edf957d69cbc27a8d81",
                "short_code": "ob",
                "title": "EUMETNET Sandbox: Met Office WOW data v1",
                "abstract": "The Met Office WOW V1 dataset contains observations from all Public Weather Stations (PWS) contributing to WOW (Weather Observations Website) within Europe. The dataset is for a single year (2020), made available for use within the EUMETNET Sandbox project. EUMETNET (a grouping of 31 European National Meteorological Services) instigated the EUMETNET Sandbox project to bring novel observations and observations from technology trials and field campaigns to the research community to enable R&D activities.\r\n\r\nThe data are not quality controlled and are presented in the format provided by the Met Office. The data are provided in a single file per month.\r\n\r\nThe data were extracted from the WOW database using a latitude/longitude bounding box (North West corner 90N 70W to South East corner 10N 40E) so there are a small number of stations outside of Europe present.\r\n\r\nThe meteorological values are unchanged from those extracted from the WoW archive. For example, there is no Quality Control of the data, no calibration of the instruments and no unit conversions have been applied.\r\n\r\nThe data were extracted from the WoW archive by the Met Office operators of the WoW system. The data have not been manipulated to meet any international data format standards. The file names have been modified, from those provided by the Met Office, to contain location, data and status information.\r\n\r\nThe records for each station are comma separated. Not all sites report all variables, nor at all times. In most cases only the principle meteorological variables, e.g., Air temperature, Wet bulb, etc. are present. For a full list of available parameters within the files see the 'variables' information on this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33188,
            "uuid": "a85aeded1ec340a5a077317846ba00eb",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/eumetnet-sandbox/data/netatmo/v1",
            "numberOfFiles": 745,
            "volume": 170777431781,
            "fileFormat": "Data are provided in ASCII files within compressed TAR ball. See documentation for file format information.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33187,
                "uuid": "e8793d74a651426692faa100e3b2acd3",
                "short_code": "ob",
                "title": "EUMETNET Sandbox: Netatmo observing network data v1",
                "abstract": "The Netatmo V1 dataset contains observations from all Public Weather Stations (PWS) contributing to the Netatmo database within Europe. Netatmo is a company that designs and manufactures a range of smart weather station instruments for the home. The dataset is for a single year (2020), made available for use within the EUMETNET Sandbox project. EUMETNET (a grouping of 31 European National Meteorological Services) instigated the EUMETNET Sandbox project to bring novel observations and observations from technology trials and field campaigns to the research community to enable R&D activities.\r\n\r\nThe data are not quality controlled and are presented in the format provided by Netatmo. The data are provided in a single file per month per country*.\r\n\r\nThe data were extracted from the Netatmo database country by country. \r\n\r\nThe meteorological values are unchanged from those extracted from the Netatmo archive. For example, there is no Quality Control of the data, no calibration of the instruments and no unit conversions have been applied. \r\n\r\nThe data were extracted from the Netatmo database by Netatmo operators of the Netatmo system. The data have not been manipulated to meet any international data format standards. \r\n\r\nFor each station there is always a metadata file 'n'.metadata.json. There are up to 4 data files associated with each station represented by a metadata file. In some cases, all 4 data files are present for the station. In other cases, only one data file is present. The 'n' in the file name allows the metadata file to be associated with the meteorological data files\r\n\r\n1. n.pressure.historic.csv - surface pressure for station n\r\n2. n.outdoor.historic.csv - Contains air temperature and humidity for station n\r\n3. n.wind.historic.csv - Contains wind and gust data for station n\r\n4. n.rain.historic.csv - rainfall data for station n\r\n\r\nThe data files are semi-colon separated and use UNIX epoch time \r\n*Countries present in the Netatmo dataset\r\n\r\nAustria, Spain, Iceland, Norway, Belgium, Finland, Italy, Poland, Switzerland, France, Luxembourg, Portugal, Cyprus, United Kingdom, Latvia, Serbia, Czech Republic, Greece, Montenegro, Sweden, Germany, Croatia, North Macedonia, Slovenia, Denmark, Hungary, Malta, Slovakia, Estonia, Ireland and the Netherlands"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33219,
            "uuid": "29ca0115d11941f4ab82527184951bb4",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/biomass/data/agb/maps/v3.0/",
            "numberOfFiles": 2916,
            "volume": 187315069883,
            "fileFormat": "Data are netCDF and geotiff formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33218,
                "uuid": "5f331c418e9f4935b8eb1b836f8a91b8",
                "short_code": "ob",
                "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v3",
                "abstract": "This dataset comprises estimates of forest above-ground biomass for the years 2010, 2017 and 2018.   They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR instrument and JAXA’s Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources.    The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team.  \r\n\r\nThis release of the data is version 3.  Compared to version 2, this is a consolidated version of the Above Ground Biomass (AGB) maps. This version also includes a preliminary estimate of AGB changes for two epochs.\r\n\r\nThe data products consist of two (2) global layers that include estimates of:\r\n1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha)  (raster dataset).   This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)\r\n\r\nIn addition, files describing the  AGB change between 2018 and the other two years are provided (labelled as 2018_2010 and 2018_2017).   These consist of two sets of maps:  the standard deviation of the AGB change and a quality flag of the AGB change. Note that the change itself can be simply computed as the difference between two AGB maps, so is not provided directly.\r\n\r\nData are provided in both netcdf and geotiff format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33220,
            "uuid": "58bf9c3be60f47f68543b17f287bb18b",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/bodc/SOC210128/CORE2-AP795",
            "numberOfFiles": 3003,
            "volume": 2365963039496,
            "fileFormat": "Data are CF-compliant NetCDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33222,
                "uuid": "119a5d4795c94d2e94f610647640edc0",
                "short_code": "ob",
                "title": "Monthly ocean and sea-ice output from 1/4° NEMO GO6 integration forced by CORE2 data",
                "abstract": "Monthly output from an integration of the GO6 configuration of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the CORE2 (Coordinated Ocean-ice Reference Experiments version 2.0) corrected inter-annual forcing (CIAF) surface field dataset. UK Global Ocean GO6 consists of version 3.6 of NEMO and version 5.2.1 of the CICE (Community Ice CodE) sea-ice model, and the present simulation is on the global eORCA025 1/4° grid. The ocean is initialised from a climatology based on the EN3 monthly objective analysis (Ingleby and Huddleston, 2007) averaged over years 2004–2008, and is integrated from 1958 to 2007. The model was run on the Archer supercomputing platform through the Rose/Cylc interface on Puma, and the run ID on the Puma system is u-ap795.\r\nThe integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33224,
            "uuid": "06e964f713bc4f7ca981ad1a3ea645b5",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/oceanic_poc/data/bgc_argo/20100601_20210922_v1.0/",
            "numberOfFiles": 2,
            "volume": 60013770,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33223,
                "uuid": "14fc02a823c142a49adb3194a0f0d1f6",
                "short_code": "ob",
                "title": "NCEO Particulate Organic Carbon estimates from quality-controlled BGC-Argo data (2010-06-01 to 2021-09-22), V1.0",
                "abstract": "This is an in-situ dataset of estimates of particulate organic carbon (POC) based on all the current (2021-09-22) profiles of optical backscattering (BBP) collected by (BGC)Biogeochemical-Argo floats. The dataset spans from 2010-06-01 to 2021-09-22 and covers the upper 2000 dbars of the water column (continuous profiles have been binned in 41 vertical bins). The dataset was produced by first devising a new set of automatic tests to quality control the large BBP dataset available (>31M records over >130k profiles). The QCed BBP was then converted into POC using an empirical algorithm (average of the POC: BBP slopes of Cetinic et al., 2012)"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33228,
            "uuid": "1257f823c3794c3c8e37a2d3dd9ab682",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/SOC210129/DFS5.2-AO882",
            "numberOfFiles": 3397,
            "volume": 2755554548758,
            "fileFormat": "CF-compliant NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33251,
                "uuid": "a0708d25b4fc44c5ab1b06e12fef2f2e",
                "short_code": "ob",
                "title": "Monthly ocean and sea-ice output from 1/4° NEMO GO6 integration forced by DFS5.2 data",
                "abstract": "Monthly output from an integration of the UK Global Ocean, GO6, configuration of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the DFS5.2 (Drakkar Forcing Set: Dussin et al, 2016)  surface field dataset. GO6 consists of version 3.6 of NEMO and version 5.2.1 of the CICE (Community Ice CodE) sea-ice model, and the present simulation is on the global eORCA025 1/4° grid. The ocean is initialised from a climatology based on the EN3 monthly objective analysis (Ingleby and Huddleston, 2007) averaged over years 2004–2008, and is integrated from 1958 to 2015. The sea-ice fields are only available for the period 1958 to 2008. The model was run on the Archer supercomputing platform through the Rose/Cylc interface on Puma, and the run ID on the Puma system is u-ao882.\t\t\r\nThe integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33234,
            "uuid": "26de1f0634e64e268da9621dc4e9b816",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/sea_level/data/XTRACK_ALES_SLA/ENVISAT_SARAL/SLA/v1.1/",
            "numberOfFiles": 1743,
            "volume": 14592570173,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33045,
                "uuid": "2e3a3408af2f4e918458c09d4e5f7460",
                "short_code": "ob",
                "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): Altimeter along-track high resolution sea level anomalies in some coastal regions from ENVISAT (2002-2010) and SARAL (2013-2016) satellite altimetry, v1.1",
                "abstract": "This dataset contains along-track sea level anomalies derived from satellite altimetry.   Altimeter along-track sea level measurements from the RA2 instrument on ENVISAT and the Altika instrument on SARAL satellite missions have been processed to produce high resolution (20 Hz, corresponding to an along-track distance of ~300m) sea level anomalies, in order to provide long-term homogeneous sea level time series as close to the coast as possible in six different coastal regions (North-East Atlantic, Mediterranean Sea, Western Africa, North Indian Ocean, South-East Asia and Australia).  \r\n\r\nThe product benefits from the spatial resolution provided by high-rate data, the Adaptive Leading Edge Subwaveform Retracker (ALES) and the post-processing strategy of the along-track (X-TRACK) algorithm, both developed for the processing of coastal altimetry data, as well as the best possible set of geophysical corrections.  \r\n\r\nThe main objective of this product is to provide accurate altimeter Sea Level Anomalies (SLA) time series as close to the coast as possible in order to assess whether the coastal sea level trends experienced at the coast are similar to the observed sea level trends in the open ocean and to determine the causes of the potential discrepancies.\r\n\r\nThe Envisat and SARAL/AltiKa missions have the same ground track but the temporal gap between both missions prevents from computing reliable trends during the total period between both missions.\r\n\r\nThis dataset has been produced by the Climate Change Initiative Coastal Sea Level team, within the extension phase of the European Sapce Agency (ESA) Climate Change Initiative."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33237,
            "uuid": "a8e396628760456c84718f5f33d591c4",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/spm/spm_03/v20210809",
            "numberOfFiles": 6,
            "volume": 17260,
            "fileFormat": "Data are BADC-CSV formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33236,
                "uuid": "118104a74a5e460b8cea189c67558e0b",
                "short_code": "ob",
                "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.3 (v20210809)",
                "abstract": "Data for Figure SPM.3 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure SPM.3 shows the synthesis of assessed observed and attributable regional changes in hot extremes, heavy precipitation and agricultural and ecological droughts and confidence in human contribution to the observed changes in the world’s regions.\r\n---------------------------------------------------\r\nHow to cite this dataset\r\n---------------------------------------------------\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\nFigure subpanels\r\n---------------------------------------------------\r\nThe figure has three panels, with data provided for all panels in subdirectories named panel_a, panel_b and panel_c.\r\n---------------------------------------------------\r\nList of data provided\r\n---------------------------------------------------\r\nPanel a: Synthesis of assessment of observed change in hot extremes and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n\r\nPanel b: Synthesis of assessment of observed change in heavy precipitation and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n\r\nPanel c: Synthesis of assessment of observed change in agricultural and ecological drought and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n---------------------------------------------------\r\nData provided in relation to figure\r\n---------------------------------------------------\r\n\r\n·\tData file: panel_a/SPM3_panel_a.csv (AR6 world regions, observed change in hot extremes, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (red), [decrease](blue),[low agreement in type of change](white/grey),[limited data and/or literature](grey) .\r\n·\tData file: panel_b/SPM3_panel_b.csv (AR6 world regions, observed change in heavy precipitation, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (green), [decrease](yellow),[low agreement in type of change](white/grey),[limited data and/or literature](grey) .\r\n\r\n·\tData file: panel_c/SPM3_panel_c.csv (AR6 world regions, observed change in agricultural and ecological drought, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (yellow), [decrease](green),[low agreement in type of change](white/grey),[limited data and/or literature](grey) \r\n\r\n---------------------------------------------------\r\nSources of additional information\r\n---------------------------------------------------\r\nThe data in the files is an assessment of section 11.9 in chapter 11 that is provided in the second first two columns of the tables in that section."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33239,
            "uuid": "4dd94e56110b438193ce977f195a5c20",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig10/v20211001/",
            "numberOfFiles": 6,
            "volume": 16931,
            "fileFormat": "Data are BADC-CSV formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33158,
                "uuid": "cf006675070548359e22e36d354d0f92",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.10 (v20211001)",
                "abstract": "Data for Figure 3.10 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.10 shows observed and simulated tropical mean temperature trends through the atmosphere.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels, with data provided for all panels in subdirectories named panel_a, panel_b and panel_c.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Temperature trend from radiosonde, reanalysis and CMIP6 data, including their uncertainty where available.\r\n\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/ipcc_ar6_chap3_fig_3_10_panel_a_with_metadata.csv \r\n - panel_b/ipcc_ar6_chap3_fig_3_10_panel_b_with_metadata.csv\r\n - panel_c/ipcc_ar6_chap3_fig_3_10_panel_c_with_metadata.csv\r\n\r\nDetails of data provided in relation to each figure panel and its elements are described in the metadata associated with each file.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33240,
            "uuid": "41f0b655027542aeb14d0502eb076080",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig12/v20211001/",
            "numberOfFiles": 9,
            "volume": 48305,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33177,
                "uuid": "7273023a04d24da58ec5d83343cd861d",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.12 (v20211001)",
                "abstract": "Data for Figure 3.12 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.12 shows column water vapor path trends (%/decade) for the period 1998-2019 averaged over the near-global oceans (50°S-50°N) \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains water vapor path trends for the period 1998-2019 for:\r\n \r\n - observed average (RSS and ERA5)\r\n - simulated bins (CMIP5 and CMIP6)\r\n - simulated fit (CMIP5 and CMIP6)\r\n\r\nRSS (Remote Sensing Systems) refers to geophysical data collected by satellite microwave sensors.\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - atmosphere_mass_content_of_water_vapor_trend_era5.nc (var = 'prw_trend', purple line)\r\n - atmosphere_mass_content_of_water_vapor_trend_rss.nc (var = 'prw_trend', orange line)\r\n - atmosphere_mass_content_of_water_vapor_trends_kde_fit_cmip5.nc (var = 'trend_bins', blue line)\r\n - atmosphere_mass_content_of_water_vapor_trends_kde_fit_cmip6.nc (var = 'trend_bins', red line)\r\n - atmosphere_mass_content_of_water_vapor_trends_pdf_cmip5.nc (var = 'trend_bins', blue bars)\r\n - atmosphere_mass_content_of_water_vapor_trends_pdf_cmip6.nc (var = 'trend_bins', red bars)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33241,
            "uuid": "5e65a855f7ef4692b3f15b9779140ccb",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig13/v20211001/",
            "numberOfFiles": 7,
            "volume": 1085827,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 33132,
                "uuid": "ba3ac68281b94c7b9963278681ee8ee5",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.13 (v20211001)",
                "abstract": "Data for Figure 3.13 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.13 shows annual-mean precipitation rate (mm day-1) for the period 1995-2014.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for four panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global modelled annual-mean precipitation (mm/day) of CMIP6  for the period 1995–2014\r\n - Global bias of modelled annual-mean precipitation (mm/day) of CMIP6  for the period 1995–2014 to GPCP\r\n - Global root mean square bias of modelled precipitation (mm/day) of CMIP6  for the period 1995–2014 to GPCP\r\n - Global bias of modelled annual-mean precipitation (mm/day) of CMIP5  for the period 1985–2004 to GPCP\r\n\r\nGPCP is the Global Precipitation Climatology Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_13_a.nc\r\n - panel_b/fig_3_13_b.nc\r\n - panel_c/fig_3_13_c.nc\r\n - panel_d/fig_3_13_d.nc\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33242,
            "uuid": "6d28ee2855784ecdbd50ed1a5e39bed7",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig14/v20211001/",
            "numberOfFiles": 7,
            "volume": 111783,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33192,
                "uuid": "8c9c35e4c877440abcaa10b9aa173c33",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.14 (v20211001)",
                "abstract": "Data for Figure 3.14 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.14 shows wet and dry region tropical mean (30°S-30°N) annual precipitation anomalies.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains timeseries (1988-2020) of annual precipitation anomalies from\r\n\r\n - observation (GPCP)\r\n - reanalysis (ERA5)\r\n - multi-model mean (CMIP6)\r\n\r\nGPCP is the Global Precipitation Climatology Project.\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/AR6_WG1_Chap3_Figure3_14_panel_a_wetdry.csv (timeseries for wet regions)\r\n - panel_b/AR6_WG1_Chap3_Figure3_14_panel_b_wetdry.csv (timeseries for dry regions)\r\n - panel_c/AR6_WG1_Chap3_Figure3_14_panel_c_wetdry.csv (scaling factors for wet regions)\r\n - panel_d/AR6_WG1_Chap3_Figure3_14_panel_d_wetdry.csv (scaling factors for dry regions)\r\n Details on data provided in relation to each figure panel and its elements in the metadata associated to the corresponding files.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33243,
            "uuid": "3903b13c87134327982230af77b6a7ef",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig15/v20211001/",
            "numberOfFiles": 8,
            "volume": 33224,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33195,
                "uuid": "a6b79b1abac64d72a1a3f2fcf62ee81e",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.15 (v20211001)",
                "abstract": "Data for Figure 3.15 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.15 shows observed and simulated time series of anomalies in zonal average annual mean precipitation.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for five panels in subdirectories named panel_a, panel_c, panel_d, panel_e and panel_f.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Observed precipitation change (1950-2014). \r\n - Historical anthropogenic and natural precipitation change (1950-2014).\r\n - Historical natural-only precipitation change (1950-2014).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_15_a.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_c/fig_3_15_c.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_d/fig_3_15_d.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_e/fig_3_15_e.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_f/fig_3_15_f.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n * brown line: exp = 0, stat = 0\r\n * green line: exp = 1, stat = 0\r\n * shaded regions: exp  = 1 or 2, stat = 1 and 2\r\n * black lines: exp = 2, stat = 0 (GHCN), stat = 1 (GPCP-SG), stat = 2 (CRU)\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nGHCN is the Global Historical Climatology Network.\r\nGPCP-SG refers to the Global Precipitation Climatology Project and Satellite-Guage combined precipitation dataset.\r\nCRU refers to the Climatic Research Unit gridded Time Series climate dataset.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33244,
            "uuid": "ab30b9e484fa40f2b90c244478717095",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig18/v20211001/",
            "numberOfFiles": 4,
            "volume": 22667,
            "fileFormat": "Data are netCDF formatted.",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 33152,
                "uuid": "84fd20b6e5a04271a007e2150eb17c7e",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.18 (v20211001)",
                "abstract": "Data for Figure 3.18 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.18 shows instantaneous Northern-Hemisphere blocking frequency (% of days) in the extended northern winter season (DJFM) for the years 1979-2000.  \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains blocking freuency  (1979-2000) of\r\n \r\n - ERA5 reanalysis\r\n - CMIP5 and CMIP6 multi-model mean\r\n\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n AR6_WG1_Chap3_Figure3_18_blocking.csv (lines and shading)\r\n Corresponding line and shading colours are described in the metadata associated with the datafile\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33245,
            "uuid": "f5b6bd5876e24dbfa8ea04493c648452",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig19/v20211001/",
            "numberOfFiles": 7,
            "volume": 229043,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33198,
                "uuid": "7493e7dd46854227beb4f891a80a1016",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.19 (v20211001)",
                "abstract": "Data for Figure 3.19 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.19 shows long-term mean (thin black contour) and linear trend (colour) of zonal mean DJF zonal winds over 1985-2014 in the SH. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - ERA5 zonal-mean wind (1985-2014)\r\n - ERA5 zonal-mean wind trend (1985-2014)\r\n - CMIP6 zonal-mean wind (1985-2014)\r\n - CMIP6 zonal-mean wind trend (1985-2014)\r\n\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_19_a_mean.nc (contour, ERA5 mean)\r\n - panel_a/fig_3_19_a_trend.nc (color, ERA5 trend)\r\n - panel_b/fig_3_19_b_mean.nc (contour, CMIP6 mean)\r\n - panel_b/fig_3_19_b_trend.nc (color, CMIP6 trend)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33246,
            "uuid": "3cbf4b3f83844a91a72f366aae2f0af1",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig23/v20211001/",
            "numberOfFiles": 5,
            "volume": 544281,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33189,
                "uuid": "44adfc4f92834bd9950341dd24d6d2e0",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.23 (v20211001)",
                "abstract": "Data for Figure 3.23 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.23 shows multi-model-mean bias of (a) sea surface temperature and (b) near-surface salinity, defined as the difference between the CMIP6 multi-model mean and the climatology from the World Ocean Atlas 2018. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global bias of modelled annual-mean sea surface temperature (°C) of CMIP6  for the period 1995–2014 to WOA 2018\r\n - Global bias of modelled annual-mean sea surface salinity (PSS-76) of CMIP6  for the period 1995–2014 to WOA 2018\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nWOA 2018 is the World Ocean Atlas 2018.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_23_a.nc (sst, CMIP6 Sea Surface Temperature Bias)\r\n - panel_b/fig_3_23_b.nc (sss, CMIP6 Sea Surface Salinity Bias)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33247,
            "uuid": "c9d23b3d7828482fa34deb65e7aea072",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig42/v20211001/",
            "numberOfFiles": 5,
            "volume": 52371,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33180,
                "uuid": "e3d21f98cc764d1185b0d6e662532831",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.42 (v20211001)",
                "abstract": "Data for Figure 3.42 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.42 shows relative space-time root-mean-square deviation (RMSD) calculated from the climatological seasonal cycle of the CMIP simulations (1980-1999) compared to observational datasets. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains the grade value of the performance metrics for all diagnostics (variables) and models.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n panel_a/fig_3_42_a.nc and panel_b/fig_3_42_b.nc:\r\n \r\n - variable 'grade' with three dimensions:\r\n * 'diagnostics': variables on the y-axis of the metrics plot\r\n * 'models': models on the x-axis of the metrics plot\r\n * 'reference': 0: upper triangle; 1: lower triangle\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33248,
            "uuid": "4f17b17e74d24ef485ecee63e924367b",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig43/v20211001/",
            "numberOfFiles": 4,
            "volume": 41061,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33201,
                "uuid": "80c10f8aeb7049778c5a15ede4917128",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.43 (v20211001)",
                "abstract": "Data for Figure 3.43 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.43 shows centred pattern correlations between models and observations for the annual mean climatology over the period 1980-1999. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains all correlation pattern values displayed in the figure.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n fig_3_43.nc:\r\n \r\n - variable: 'cor' with two dimensions:\r\n * 'vars': variables on the x-axis (same order as in the figure)\r\n * 'models': name of each models (the attribute 'project' contains mapping to 'CMIP3', 'CMIP5' or 'CMIP6')\r\n\r\n'cor' refers to the pattern correlation between models and observations.\r\nCMIP3 is the third phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n \r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33249,
            "uuid": "cfee03624fab4a598c51df9cabdb12c9",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig09/v20211028",
            "numberOfFiles": 13,
            "volume": 201466827,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 33174,
                "uuid": "bbb759da50fe4cd5a1387c7462655908",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.9 (v20211028)",
                "abstract": "Data for Figure 3.9 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.9 shows global, land, ocean and continental annual mean near-surface air temperatures anomalies in CMIP6 models and observations. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has ten panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d, panel_e, panel_f, panel_g, panel_h, panel_i and panel_j.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - Observed global near-surface air temperature change (1850-2020). \r\n - CMIP6 historical anthropogenic and natural global warming (1850-2020).\r\n - CMIP6 historical natural-only global warming (1850-2020).\r\n - CMIP6 historical greenhouse gas only global warming (1850-2020).\r\n - CMIP6 historical aerosol only global warming (1850-2020).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_9_a.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_b/fig_3_9_b.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_c/fig_3_9_c.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_d/fig_3_9_d.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_e/fig_3_9_e.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_f/fig_3_9_f.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_g/fig_3_9_g.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_h/fig_3_9_h.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_i/fig_3_9_i.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_j/fig_3_9_j.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n  \r\nPlotted data corresponds to the following \"exp\" and \"stat\" indices:\r\n  brown line: exp = 0, stat = 0\r\n  green line: exp = 1, stat = 0\r\n  grey line: exp = 2, stat = 0\r\n  blue line: exp =3, stat = 0\r\n  black line: exp = 4, stat = 0\r\n  shaded regions: stat = 1 and 2, exp = 0, 1, 2 and 3\r\nThe ensemble spread (shaded regions) of CMIP6 data shown in figure 3.9 are the mean, 5th and 95th percentiles. The in-file metadata labels the same ensemble spread as the mean, min and max.\r\n\r\npanel_a: Global Ocean\r\npanel_b: Global\r\npanel_c: Global Land\r\npanel_d: North America\r\npanel_e: Central and South America\r\npanel_f: Europe and North Africa\r\npanel_g: Africa\r\npanel_h: Asia\r\npanel_i: Australasia\r\npanel_j: Antarctica\r\n\r\nAcronyms - CMIP6 - The sixth phase of the Coupled Model Intercomparison Project.\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1"
            },
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        {
            "ob_id": 33252,
            "uuid": "19f343fceea0480da45123ac4e8d72bd",
            "short_code": "result",
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            "dataPath": "/bodc/SOC210130/JRA55-BA494",
            "numberOfFiles": 3176,
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            "observation": {
                "ob_id": 33226,
                "uuid": "4c545155dfd145a1b02a5d0e577ae37d",
                "short_code": "ob",
                "title": "Monthly ocean and sea-ice output from 1/4° NEMO GO6 integration forced by JRA55 data",
                "abstract": "Monthly output from an integration of the UK Global Ocean, GO6, configuration of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the JRA-55 (Japanese 55-year atmospheric reanalysis: Tsujino, 2018) surface field dataset. GO6 consists of version 3.6 of NEMO and version 5.2.1 of the CICE (Community Ice CodE) sea-ice model, and the present simulation is on the global eORCA025 1/4° grid. The ocean is initialised from a climatology based on the EN3 monthly objective analysis (Ingleby and Huddleston, 2007) averaged over years 2004–2008, and is integrated from 1958 to 2020. The sea-ice fields are only available for the period 1989 to 2001. The model was run on the Archer supercomputing platform through the Rose/Cylc interface on Puma, and the run ID on the Puma system is u-ba494.\t\t\r\nThe integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1)."
            },
            "onlineresource_set": []
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        {
            "ob_id": 33253,
            "uuid": "f349ccd4a6a6423c8d8efa2dbe07ae69",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/gerb/data/gerb-1/l2barg",
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            "volume": 0,
            "fileFormat": "Data are HDF formatted",
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            "observation": null,
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        {
            "ob_id": 33254,
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            "curationCategory": "A",
            "dataPath": "/neodc/gerb/data/gerb-2/l2arg",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "Data are HDF formatted",
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            "observation": null,
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        {
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            "uuid": "c7f98b96ba3f4b3db61e8a5c44f7c552",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/gerb/data/gerb-1/l2arg",
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            "volume": 0,
            "fileFormat": "Data are HDF formatted",
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            "observation": null,
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        {
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            "uuid": "742312a7d5b7463ba38e9179b44b1e32",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/a-cure/data/",
            "numberOfFiles": 110,
            "volume": 89335134563,
            "fileFormat": "The data are in NetCDF format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33264,
                "uuid": "b735718d66c1403fbf6b93ba3bd3b1a9",
                "short_code": "ob",
                "title": "A-CURE: Monthly mean perturbed parameter ensemble data",
                "abstract": "A-CURE was a NERC funded project that tackled one of the most challenging and persistent problems in atmospheric science – understanding and quantifying how changes in aerosol particles caused by anthropogenic activities affect climate. The data here are monthly mean variable data from a large perturbed parameter ensemble of UKESM1 simulations, nudged to horizontal winds above around 2km. Each variable has 220 or 221 members, as indicated in file names. Some months have one fewer member because a model variant repeatedly did not run to completion due to combined model parameter values. The 221 members are model variants that combine the effects of 54 aerosol and physical atmosphere parameters. Variable data in this ensemble span the uncertainty in UKESM1 from these parametric sources."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33270,
            "uuid": "a48b68e7edf448a2b102995158070800",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/ocean_reanalysis/smoother/data/v1.0/",
            "numberOfFiles": 32,
            "volume": 31328941517,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33272,
                "uuid": "b0cf5a39647e4036bd5351274c5daa5f",
                "short_code": "ob",
                "title": "Improved high-resolution ocean reanalysis of Met Office GloSea5 data using the simple smoother algorithm, v1.0, June 2016",
                "abstract": "The dataset is a Global ¼° 0-2000m ocean reanalysis for June 2016, providing temperature and salinity data. The product is based on Met Office GloSea5 reanalysis (Blockley et al. 2014), with the simple smoother algorithm applied to improve the original reanalysis. The simple smoother is designed for smooth data adjustments in sequentially generated reanalysis products by utilizing knowledge of future assimilation increments. A decay time parameter is applied to the smoother increments to account for memory decay timescales in the ocean. Further information is available in the documentation section."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33278,
            "uuid": "4929312c20a64a768701dbb900e42b25",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ukmo-mrf/data/a257",
            "numberOfFiles": 7,
            "volume": 163070431,
            "fileFormat": "Data are binary formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33277,
                "uuid": "d6a2c152a6d144099cd7710298554942",
                "short_code": "ob",
                "title": "MRF A257 flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft",
                "abstract": "The Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes.\r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A257 for research purposes."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33281,
            "uuid": "9f8b1b7f88f7410393f3ce5711b548b6",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig03/v20211001/",
            "numberOfFiles": 7,
            "volume": 1064117,
            "fileFormat": "netCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33155,
                "uuid": "03cc44f98b0e4a4b97df37662e62be79",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.3 (v20211001)",
                "abstract": "Data for Figure 3.3 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.3 shows the global annual-mean surface (2 m) air temperature (°C) and the model bias to ERA5.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for four panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n - Global modelled annual-mean surface (2 m) air temperature (°C) of CMIP6  for the period 1995–2014\r\n - Global bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP6  for the period 1995–2014 to reanalysis ERA5\r\n - Global root mean square bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP6  for the period 1995–2014 to reanalysis ERA5\r\n - Global bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP5  for the period 1985–2004 to reanalysis ERA5\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/tas_mean_cmip6.nc; global map\r\n - panel_b/tas_bias_cmip6.nc; global map\r\n - panel_c/tas_rms_bias_cmip6.nc; global map\r\n - panel_d/tas_bias_cmip5.nc; global map\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33282,
            "uuid": "8586c1535244470e983e10e39eb13857",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig05/v20211001/",
            "numberOfFiles": 4,
            "volume": 3756898,
            "fileFormat": "netCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33164,
                "uuid": "b6ca8b2d797348dd86823cfc2da7ba83",
                "short_code": "ob",
                "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.5 (v20211001)",
                "abstract": "Data for Figure 3.5 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.5 shows the standard deviation of annually averaged zonal-mean near-surface air temperature.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - Simulated (CMIP6) standard deviation of near-surface air temperature\r\n - Observed standard deviation of near-surface air temperature\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nDatafile: fig_3_5.nc, black lines:\r\n - HadCRUT5: model = 62\r\n - BerkleyEarth: model = 61\r\n - NOAAGlobalTemp-Interim: model = 60\r\n - Kadow: model = 59\r\n - colored lines: model = 0, 1, ..., 58\r\n\r\nWhere HadCRUT5, BerkleyEarth, NOAAGlobalTemp-Interim, and Kadow are gridded datasets of global historical surface temperature.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33283,
            "uuid": "34772d8d807d463b9f25b3fa8258d54f",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/water_vapour/data/TCWV-land/L3/v3.1/0.05deg/daily/",
            "numberOfFiles": 5664,
            "volume": 403722188439,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 32068,
                "uuid": "5b8217eb6bc242229035d846671c62fa",
                "short_code": "ob",
                "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour daily gridded data over land at 0.05 degree resolution, version 3.1",
                "abstract": "This dataset consists of daily total column water vapour (TCWV) over land, at a 0.05 degree resolution, observed by various satellite instruments.   It has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record -1  (TCWV-land (CDR-1).\r\n\r\nThis version of the data is v3.1."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33287,
            "uuid": "9ada8d23cd1c43388095848328a66b87",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/water_vapour/data/TCWV-land/L3/v3.1/0.5deg/monthly/",
            "numberOfFiles": 187,
            "volume": 218556681,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 32070,
                "uuid": "008b306d2cda435cb7ea9eb44bc07c73",
                "short_code": "ob",
                "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour monthly gridded data over land at 0.5 degree resolution, version 3.1",
                "abstract": "This dataset consists of monthly averaged total column water vapour (TCWV) over land, at a 0.5 degree resolution, observed by various satellite instruments. It has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record -1 (TCWV-land (CDR-1).\r\n\r\nThis version of the data is v3.1."
            },
            "onlineresource_set": []
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        {
            "ob_id": 33288,
            "uuid": "758bc82a3bf74b6ab91d90cfc366ccb5",
            "short_code": "result",
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            "dataPath": "/neodc/esacci/water_vapour/data/TCWV-land/L3/v3.1/0.05deg/monthly/",
            "numberOfFiles": 187,
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            "oldDataPath": [],
            "observation": {
                "ob_id": 32071,
                "uuid": "14e296d401f94ece8a2f143a7ddb0069",
                "short_code": "ob",
                "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour monthly gridded data over land at 0.05 degree resolution, version 3.1",
                "abstract": "This dataset consists of monthly averaged total column water vapour (TCWV) over land, at a 0.05 degree resolution, observed by various satellite instruments.   It has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record -1  (TCWV-land (CDR-1).\r\n\r\nThis version of the data is v3.1."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33289,
            "uuid": "c085af18f7d944d9b42fb64c5f43c342",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/water_vapour/data/TCWV-land/L3/v3.1/0.5deg/daily/",
            "numberOfFiles": 5664,
            "volume": 8426298130,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 32069,
                "uuid": "97d8054089a04235ab55a419622b4f1b",
                "short_code": "ob",
                "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour daily gridded data over land at 0.5 degree resolution, version 3.1",
                "abstract": "This dataset consists of daily total column water vapour (TCWV) over land, at a 0.5 degree resolution, observed by various satellite instruments.   It has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record -1  (TCWV-land (CDR-1).\r\n\r\nThis version of the data is v3.1."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33303,
            "uuid": "f32250d7592c427599c39731f934339e",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/sea_level_budget_closure/data/timeseries_slb_elements/v2.2/",
            "numberOfFiles": 2,
            "volume": 114114,
            "fileFormat": "Data are BADC-CSV formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33302,
                "uuid": "17c2ce31784048de93996275ee976fff",
                "short_code": "ob",
                "title": "ESA Sea Level Budget Closure Climate Change Initiative (SLBC_cci): Time series of global mean sea level budget and ocean mass budget elements (1993-2016, at monthly resolution), version 2.2",
                "abstract": "This dataset is a compilation of time series, together with uncertainties, of the following elements of the global mean sea level budget and ocean mass budget:\r\n(a) global mean sea level\r\n(b) the steric contribution to global mean sea level, that is, the effect of ocean water density change, which is dominated, on a global average, by thermal expansion\r\n(c) the mass contribution to global mean sea level\r\n(d) the global glaciers contribution (excluding Greenland and Antarctica)\r\n(e) the Greenland Ice Sheet and Greenland peripheral glaciers contribution\r\n(f) the Antarctic Ice Sheet contribution\r\n(g) the contribution from changes in land water storage (including snow cover).\r\n\r\nThe compilation is a result from the Sea-level Budget Closure (SLBC_cci) project conducted in the framework of ESA’s Climate Change Initiative (CCI). It provides assessments of the global mean sea level and ocean mass budgets.  Assessment of the global mean sea level budget means to assess how well (a) agrees, within uncertainties, to the sum of (b) and (c) or to the sum of (b), (d), (e), (f) and (g). Assessment of the ocean mass budget means to assess how well (c) agrees to the sum (d), (e), (f) and (g).\r\n\r\nAll time series are expressed in terms of anomalies (in millimetres of equivalent global mean sea level) with respect to the mean value over the 10-year reference period 2006-2015. \r\nThe temporal resolution is monthly. The temporal range is from January 1993 to December 2016. Some time series do not cover this full temporal range. All time series are complete over the temporal range from January 2003 to August 2016.\r\n\r\nFor some elements, more than one time series are given, as a result of different assessments from different data sources and methods.\r\n\r\nData and methods underlying the time series are as follows:\r\n(a) satellite altimetry analysis by the Sea Level CCI project.\r\n(b) a new analysis of Argo drifter data with incorporation of sea surface temperature data; an alternative time series consists in an ensemble mean over previous global mean steric sea level anomaly time series.\r\n(c) analysis of monthly global gravity field solutions from the Gravity Recovery and Climate Experiment (GRACE) satellite gravimetry mission.\r\n(d) results from a global glacier model.\r\n(e) analysis of satellite radar altimetry over the Greenland Ice Sheet, amended by results from the global glacier model for the Greenland peripheral glaciers; an alternative time series consists of results from GRACE satellite gravimetry.\r\n(f) analysis of satellite radar altimetry over the Antarctic Ice Sheet; an alternative time series consists of results from GRACE satellite gravimetry.\r\n(g) results from the WaterGAP global hydrological model.\r\n\r\nVersion 2.2 is an update of the previous Version 2.1. The update concerns the estimates of ocean mass change from GRACE."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33311,
            "uuid": "b03e655ff6e445cd8b099869505ae656",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2021/perturbedCO2-forecasts/",
            "numberOfFiles": 173,
            "volume": 438235283339,
            "fileFormat": "Data are netCDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33310,
                "uuid": "dd6a312c701f47778390de50cd052071",
                "short_code": "ob",
                "title": "Perturbed CO2 forecasts of the February 2019 European heatwave",
                "abstract": "This dataset contains a range of model output from both operational runs of the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS) CY45R1 model forecasts and hindcasts and output from specific experimental runs. \r\n\r\nThese data were produced to support the article \"Forecast-based attribution of a winter heatwave within the limit of predictability\" (see citation and link to paper elsewhere on this record).\r\n\r\nWithin the archived products the directory tree structure is as follows:\r\n\r\nTop level domain splitting:\r\n>EU\r\nModel data at 0.25 degree resolution for the region contained within (33 to 73.5N / -27 to 45E).\r\n\r\n>GLOB\r\nModel data at 0.25 degree resolution for the full globe.\r\n\r\nBelow which there are sub-directories as follows (note, M-climate is only available for the EU domain):\r\n\r\n>>ENS​\r\nData from the operational Ensemble Prediction System (EPS) forecast.\r\n\r\n>>M-climate\r\nData from EPS hindcasts used to construct model climate. See https://confluence.ecmwf.int/display/FUG/M-climate%2C+the+ENS+Model+Climate.\r\n\r\n>>pi-CO2\r\nData from EPS forecast that replicates operations *but for* reduced CO2 concentrations, set to 285 ppm.\r\n\r\n>>incr-CO2\r\nData from EPS forecast that replicates operations *but for* increased CO2 concentrations, set to 600 ppm.\r\n\r\nWithin these runs the data are then available on the following level types:\r\n>>>pl\r\nData on pressure levels.\r\n\r\n>>>sfc\r\nData on single levels.\r\n\r\nEnsemble data are further split into sub-directories as follows:\r\n>>>>cf\r\nControl forecast member.\r\n\r\n>>>>pf\r\nPerturbed forecast members.\r\n\r\nThe specific variables available within each netCDF file can differ depending on the region and experiment type (eg. the operational ENS forecasts whose initialisation dates match those of the perturbed CO2 experiments have more variables available than the others). All the datasets & variables required to reproduce the analysis are described in the paper.\r\n\r\nForecast-based attribution of a winter heatwave within the limit of predictability. Nicholas J. Leach, Antje Weisheimer, Myles R. Allen, Tim Palmer. Proceedings of the National Academy of Sciences Dec 2021, 118 (49) e2112087118; DOI: 10.1073/pnas.2112087118"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33314,
            "uuid": "4d43675d1bbb4c37bfe64c7651bd24c6",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/bicep/data/marine_primary_production/v4.2/monthly/",
            "numberOfFiles": 277,
            "volume": 20623346126,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 31969,
                "uuid": "69b2c9c6c4714517ba10dab3515e4ee6",
                "short_code": "ob",
                "title": "BICEP / NCEO: Monthly global Marine Phytoplankton Primary Production, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset)",
                "abstract": "This dataset contains global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2018 at 9 km spatial resolution.  Data are provided in NetCDF format.\r\n\r\nPrimary production by marine phytoplankton was modelled using ocean-colour remote sensing products and a spectrally-resolved primary production model that incorporates the vertical structure of phytoplankton and simulates changes in photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function (see Kulk et al. 2020, Sathyendranath et al. 2020a, and references therein for details). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataet). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. In situ datasets of chlorophyll-a profile parameters and P-I parameters were incorporated as described in Kulk et al. (2020). \r\n\r\nThe primary production products were generated as part of the ESA Living Planet Fellowship programme ‘Primary production, Index of Climate Change in the Ocean: Long-term Observations’\r\n(PICCOLO). Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947), from the ESA Biological Pump and Carbon\r\nExchange Processes (BICEP) project and from the National Centre of Earth Observation (NCEO) is acknowledged.\r\n\r\nData are provided as netCDF files containing global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2020 at 9 km spatial resolution.\r\n\r\nReferences:\r\n\r\nKulk, G.; Platt, T.; Dingle, J.; Jackson, T.; Jönsson, B.F.; Bouman, H.A., Babin, M.; Doblin, M.; Estrada, M.; Figueiras, F.G.; Furuya, K.; González, N.; Gudfinnsson, H.G.; Gudmundsson, K.; Huang, B.; Isada, T.; Kovac, Z.; Lutz, V.A.; Marañón, E.; Raman, M.; Richardson, K.; Rozema, P.D.; Van de Poll, W.H.; Segura, V.; Tilstone, G.H.; Uitz, J.; van Dongen-Vogels, V.; Yoshikawa, T.; Sathyendranath S. Primary production, an index of climate change in the ocean: Satellite-based estimates over two decades. Remote Sens. 2020, 12, 826. doi:10.3390/rs12050826\r\n\r\nSathyendranath, S.; Platt, T.; Žarko K.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Nón, E.M.; Kulk, G.; Bouman, H. Reconciling models of primary production and photoacclimation. Appl. Opt.\r\n2020a, 59, C100-C114. doi.org/10.1364/AO.386252."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33316,
            "uuid": "45defde8ca78423fbba40d5655f21562",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/msg/data/hritimages/EEDA41",
            "numberOfFiles": 35984,
            "volume": 79061438758,
            "fileFormat": "Data are JPEG formatted image files",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33315,
                "uuid": "ac333bc4d212442aabdccbf80a457a41",
                "short_code": "ob",
                "title": "MSG: Dust imagery in the RGB channels over the full disc at 0 degrees (EEDA41)",
                "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains RBG dust images from MSG satellites over the full disc at 0 degrees. Imagery available from November 2021 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\r\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33318,
            "uuid": "3a6de995b02d40319a924b1baf7de1f3",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/msg/data/hritimages/LEDF41",
            "numberOfFiles": 4326,
            "volume": 8509683310,
            "fileFormat": "Data are JPEG formatted images",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33317,
                "uuid": "b1dacc09b42f4d8ab492c5d5c751efa9",
                "short_code": "ob",
                "title": "MSG: Dust imagery in the RGB channels over the full disc at 41.5 degrees East (LEDF41, upto 0900 UTC 1st June  2022)",
                "abstract": "The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. \r\n\r\nThis dataset contains RGB dust images from MSG satellites over the full disc at 41.5 degrees East. Imagery available from November 2021 until 0900 UTC 1st June 2022 (see following note) at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\r\nNOTE - from 1st February 2022 to 20th April 2022 Meteosat-9 was drifted from 3.5 E to 45.5E at a rate of 0.5 degree a day drift to a new observation location centred over 45.5 degrees East to take over as the prime IODC (Indian Ocean Data Coverage) satellite from 30th May 2022. This role was previously by Meteosat-8, which remains in place for emergency . Data were not made available during this drifting process. The Met Office production of the LEDF41 product switched to using Meteosat-9 from 0915 UTC on 1st June 2022. See linked dataset for the replacement dataset to continue provision of this product over this region of the globe.\r\n\r\nThe geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33321,
            "uuid": "f546f535a09e4adc8235cec5c023d075",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/bicep/data/phytoplankton_carbon/v5.0/monthly/",
            "numberOfFiles": 277,
            "volume": 164841495511,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33275,
                "uuid": "6a6ccbb8ef2645308a60dc47e9b8b5fb",
                "short_code": "ob",
                "title": "BICEP / NCEO: Monthly global Phytoplankton Carbon, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v5.0 dataset)",
                "abstract": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution.\r\n\r\nA spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v5.0 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). \r\n\r\nThe phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged.\r\n\r\nData are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).\r\n\r\nReferences:\r\n\r\nSathyendranath, S.; Platt, T.; Kovač, Ž.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Marañón, E.; Kulk, G.; Bouman, H.A. Reconciling models of primary production and photoacclimation. Applies Optics, 2020, 59, C100. doi.org/10.1364/AO.386252\r\n\r\nKulk, G.; Platt, T.; Dingle, J.; Jackson, T.; Jönsson, B.F.; Bouman, H.A., Babin, M.; Doblin, M.; Estrada, M.; Figueiras, F.G.; Furuya, K.; González, N.; Gudfinnsson, H.G.; Gudmundsson, K.; Huang, B.; Isada, T.; Kovač, Ž.; Lutz, V.A.; Marañón, E.; Raman, M.; Richardson, K.; Rozema, P.D.; Van de Poll, W.H.; Segura, V.; Tilstone, G.H.; Uitz, J.; van Dongen-Vogels, V.; Yoshikawa, T.; Sathyendranath S. Primary production, an index of climate change in the ocean: Satellite-based estimates over two decades. Remote Sens. 2020, 12,826. doi:10.3390/rs12050826"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33322,
            "uuid": "e6006bace8d54326ac8a6cafa705f1af",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/capeverde/data/FLEXPART-back-traj/",
            "numberOfFiles": 20169,
            "volume": 39033382172,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33319,
                "uuid": "7bdb8604acc940f79a88433cc83904fc",
                "short_code": "ob",
                "title": "Cape Verde Atmospheric Observatory: FLEXPART back trajectory (2007 onwards)",
                "abstract": "Ten day back trajectory calculations made using the FLEXPART model initiated from Cape Verde Atmospheric Observatory four times a day to show the origins of the air arriving at the observatory and support the analysis of the observations. The Cape Verde Atmospheric Observatory (CVAO) exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33324,
            "uuid": "1f35feb3e1af4692a9a8ae98e68a91ec",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/clearflo/data/cityscan",
            "numberOfFiles": 2,
            "volume": 0,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": []
        },
        {
            "ob_id": 33328,
            "uuid": "d1a3099be9694f03a5c31da63d431b01",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/clearflo/data/iop/winter",
            "numberOfFiles": 3139,
            "volume": 702836713,
            "fileFormat": "NASA-Ames and NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33327,
                "uuid": "ba8180a9876a4ef1a127046a673d8864",
                "short_code": "ob",
                "title": "ClearfLo: IOP Winter atmospheric chemistry and meteorology measurements and NAME Airmass Footprint dispersion model output across London sites",
                "abstract": "ClearfLo (Clean Air for London) Project was a collaborative scientific project involving several academic institutions in the UK, which aimed to set up air pollution monitoring sites alongside meteorological measurements to investigate boundary layer pollution across London.\r\n\r\nThis dataset contains NAME airmass footprint images and  a broad suite of chemistry and meteorological measurements at Detling, North Kensington, and King's College, London during the winter Intensive Operations Period (IOP) in January and February 2012."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33340,
            "uuid": "803437052c094efaa414e4bec7872f78",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/sentinel_ard/indices/sentinel_2/ndvi/",
            "numberOfFiles": 17657,
            "volume": 1993246894475,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33339,
                "uuid": "51725f90c60a45e69f07a748a25b9729",
                "short_code": "ob",
                "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Vegetation Index (NDVI) v1",
                "abstract": "Sentinel-Hub NDVI description: \r\nNDVI is a simple, but effective index for quantifying green vegetation. It normalizes green leaf scattering in Near Infra-red wavelengths with chlorophyll absorption in red wavelengths.\r\n\r\nThe value range of the NDVI is -1 to 1. Negative values of NDVI (values approaching -1) correspond to water. Values close to zero (-0.1 to 0.1) generally correspond to barren areas of rock, sand, or snow. Low, positive values represent shrub and grassland (approximately 0.2 to 0.4), while high values indicate temperate and tropical rainforests (values approaching 1). It is a good proxy for live green vegetation.\r\n\r\nNDVI = (NIR – Red) / (NIR + RED)\r\n\r\nSentinel-2 NDVI = (B8 - B4) / (B8 + B4)\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra Natural Capital and Ecosystem Assessment (NCEA) project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains Normalised Difference Vegetation Index (NDVI) data derived from Defra and JNCC Sentinel-2 Analysis Ready Data. \r\n\r\nNDVI files are generated for the following Sentinel-2 granules:\r\n•\tT30UWE\r\n•\tT30UXF\r\n•\tT30UWF\r\n•\tT30UXE\r\n•\tT31UCV \r\n•\tT30UYE\r\n•\tT31UCA\r\n\r\nAs the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available.\r\n\r\nVersion 1 contains masked index files (using the Defra and JNCC ARD cloud and topographic shadow masks)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33358,
            "uuid": "1270b0420bd149929065885705d28655",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2021/ThermoCooling_SA_WACCMX/data/",
            "numberOfFiles": 20847,
            "volume": 859638421317,
            "fileFormat": "Data are netCDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33357,
                "uuid": "09198c58032d4b8197fd7c6748b92785",
                "short_code": "ob",
                "title": "Thermospheric cooling under RCP8.5 and high solar activity due to carbon dioxide increases only, select years from 1975-2095",
                "abstract": "This dataset contains WACCM-X model results under RCP8.5 (Representative Concentration Pathway) carbon dioxide increases and high solar activity (F10.7 = 200 sfu). These cover ground level to a pressure level of 4e-10 hPa (~300 km altitude) on a global 144x96 longitude-latitude grid .\r\n\r\nData is given in daily instantaneous (.h2.) and monthly average (.h0.) files in the netCDF format. Default WACCM-X outputs remain, along with the following additional variables:\r\n\r\n'PS' - Surface Pressure\r\n'Z3' - Geopotential Height (above sea level)\r\n'T' - Temperature\r\n'U' - Zonal Wind\r\n'V' - Meridional Wind\r\n'CO2' - Carbon Dioxide Concentration\r\n'CO' - Carbon Monoxide Concentration\r\n'NO' - Nitric Oxide Concentration\r\n'H2O' - Water Vapour Concentration\r\n'O' - Atomic Oxygen Concentration\r\n\r\nMore detail on each variable is given within the netCDF files and the readme file.\r\n\r\n64 month runs from edited initial files at 10 year intervals from 2015 to 2095 under RCP8.5. There is also a 28 month 1975 run and 64 month 2000 run. All of these cyclically repeat the initial year. These are separated into individual folders with the RCP8.5 CO2 concentration listed. The first 4 months of each of these datasets have been ignored in processing as the model spins up, but are included here for completeness.\r\n\r\nThis data was collected to understand the density drop at low earth orbit altitudes as carbon dioxide concentrations increase."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33375,
            "uuid": "48fa2d912a1548408a6f62b619983a3c",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/sentinel_ard/indices/sentinel_2/ndmi/",
            "numberOfFiles": 17689,
            "volume": 2000492691567,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33374,
                "uuid": "46f5d503ce284114b5925709258bacc5",
                "short_code": "ob",
                "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Moisture Index (NDMI) v1",
                "abstract": "Sentinel-Hub NDMI description: \r\n\r\nThe NDMI is a normalized difference moisture index, that uses NIR and SWIR bands to display moisture. The SWIR band reflects changes in both the vegetation water content and the spongy mesophyll structure in vegetation canopies, while the NIR reflectance is affected by leaf internal structure and leaf dry matter content but not by water content. The combination of the NIR with the SWIR removes variations induced by leaf internal structure and leaf dry matter content, improving the accuracy in retrieving the vegetation water content. The amount of water available in the internal leaf structure largely controls the spectral reflectance in the SWIR interval of the electromagnetic spectrum. SWIR reflectance is therefore negatively related to leaf water content. In short, NDMI is used to monitor changes in the water content of leaves and was proposed by Gao. NDWI is computed using the near-infrared (NIR) and the short wave infrared (SWIR) reflectances:\r\n\r\nNDMI = (NIR – SWIR) / (NIR + SWIR) \r\n\r\nSentinel-2 NDMI = (B08 - B11) / (B08 + B11)\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra Natural Capital and Ecosystem Assessment (NCEA) project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains Normalised Difference Moisture Index data derived from Defra and JNCC Sentinel-2 Analysis Ready Data.\r\n\r\nNDMI files are generated for the following Sentinel-2 granules:\r\n•\tT30UWE\r\n•\tT30UXF\r\n•\tT30UWF\r\n•\tT30UXE\r\n•\tT31UCV \r\n•\tT30UYE\r\n•\tT31UCA\r\n\r\nAs the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33377,
            "uuid": "95debc45518b4621ac697c08c60136aa",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/sentinel_ard/indices/sentinel_2/ndwi/",
            "numberOfFiles": 17689,
            "volume": 1971223782059,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33376,
                "uuid": "b42f524bc9cd4dd6850b2399b616f5c4",
                "short_code": "ob",
                "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Water Index (NDWI) v1",
                "abstract": "Sentinel-Hub NDWI description: The NDWI is used to monitor changes related to water content in water bodies. As water bodies strongly absorb light in visible to the infrared electromagnetic spectrum, NDWI uses green and near-infrared bands to highlight water bodies. It is sensitive to built-up land and can result in the over-estimation of water bodies. \r\nIndex values greater than 0.5 usually correspond to water bodies. Vegetation usually corresponds to much smaller values and built-up areas to values between zero and 0.2.\r\n\r\nNDWI = (GREEN – NIR) / (GREEN + NIR)\r\n\r\nSentinel-2 NDWI = (B03 - B08) / (B03 + B08)\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra Natural Capital and Ecosystem Assessment (NCEA) project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains Normalised Difference Water Index (NDWI) data derived from Defra and JNCC Sentinel-2 Analysis Ready Data.\r\n\r\nNDWI files are generated for the following Sentinel-2 granules:\r\n•\tT30UWE\r\n•\tT30UXF\r\n•\tT30UWF\r\n•\tT30UXE\r\n•\tT31UCV \r\n•\tT30UYE\r\n•\tT31UCA\r\n\r\nAs the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33383,
            "uuid": "71cedf65a2d5444bb8da73a74555f4f1",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/sentinel_ard/indices/sentinel_2/nbr/",
            "numberOfFiles": 17451,
            "volume": 1969713317948,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33382,
                "uuid": "6df6b803c2784b8ab9e03834bf9a4337",
                "short_code": "ob",
                "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Burn Ratio (NBR) v1",
                "abstract": "Sentinel Hub NBR description: To detect burned areas, the NBR-RAW index is the most appropriate choice. Using bands 8 and 12 it highlights burnt areas in large fire zones greater than 500 acres. To observe burn severity, you may subtract the post-fire NBR image from the pre-fire NBR image. Darker pixels indicate burned areas.\r\n\r\nNBR = (NIR – SWIR) / (NIR + SWIR) \r\n\r\nSentinel-2 NBR = (B08 - B12) / (B08 + B12)\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra Natural Capital & Ecosystem Assessment (NCEA) project to produce a regional, and ultimately national, system for detecting a change in habitat condition at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains the following indices derived from Defra and JNCC Sentinel-2 Analysis Ready Data.\r\n\r\nNDVI, NDMI, NDWI, NBR, and EVI files are generated for the following Sentinel-2 granules:\r\n•\tT30UWE\r\n•\tT30UXF\r\n•\tT30UWF\r\n•\tT30UXE\r\n•\tT31UCV \r\n•\tT30UYE\r\n•\tT31UCA\r\n\r\nAs the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33385,
            "uuid": "a103050244ba49398e838aa2436fdfe3",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/sentinel_ard/indices/sentinel_2/evi/",
            "numberOfFiles": 1,
            "volume": 970,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33384,
                "uuid": "102909b1d169469f85c099a6f1686bad",
                "short_code": "ob",
                "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Enhanced Vegetation Index (EVI)",
                "abstract": "EVI is a development on Normalised Difference Vegetation Index (NDVI).\r\n\r\nSentinel-Hub EVI description: \r\nIn areas of dense canopy cover, where leaf area index (LAI) is high, the blue wavelengths can be used to improve the accuracy of NDVI, as it corrects for soil background signals and atmospheric influences. The range of values for EVI is -1 to 1, with healthy vegetation generally around 0.20 to 0.80.\r\n\r\nEVI is calculated: EVI = 2.5 * ((NIR – RED) / ((NIR + (6 * RED) – (7.5 * BLUE)) + 1))\r\n\r\nSentinel 2 EVI = 2.5 * ((B8 – B4) / ((B8 + (6 * B4) – (7.5 * B2)) + 1))\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra Natural Capital and Ecosystem Assessment (NCEA) project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains Enhanced Vegetation Index data derived from Defra and JNCC Sentinel-2 Analysis Ready Data.\r\n\r\nEVI files are generated for the following Sentinel-2 granules:\r\n•\tT30UWE\r\n•\tT30UXF\r\n•\tT30UWF\r\n•\tT30UXE\r\n•\tT31UCV \r\n•\tT30UYE\r\n•\tT31UCA\r\n\r\nAs the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33415,
            "uuid": "967c591a2be94f9c93292f2f19e785eb",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/sentinel_ard/indices/sentinel_1/rvi/",
            "numberOfFiles": 3,
            "volume": 203305349,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33416,
                "uuid": "22ae54ba3ab14ce8aa6a5271dfddaeb3",
                "short_code": "ob",
                "title": "JNCC Sentinel-1 indices Analysis Ready Data (ARD) Radar Vegetation Index (RVI)",
                "abstract": "These data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra NCEA project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains the following indices derived from Defra and JNCC Sentinel-1 Analysis Ready Data.\r\n\r\nRVI and RVIv files are generated for Sentinel-1 orbit 132 (ascending) every 12 days. \r\n\r\nIndices have been generated using the Defra and JNCC Sentinel-1 and Sentinel-2 ARD for the granules and scenes described above. As the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33418,
            "uuid": "c526e6288b9249b899663a63487c7acb",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/bicep/data/particulate_organic_carbon/v4.2_update/monthly/",
            "numberOfFiles": 543,
            "volume": 256688997806,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33410,
                "uuid": "299b1bb28eaa440f9a36e9786adfe398",
                "short_code": "ob",
                "title": "BICEP/NCEO: Monthly global Particulate Organic Carbon (POC), between 1997-2020 at 4 km resolution (produced from the Ocean Colour Climate Change Initiative v4.2 dataset), version 2",
                "abstract": "The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v4.2 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 4 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO). \r\n\r\nThe POC concentrations were estimated using an empirical Remote Sensing Reflectance (Rrs) band ratio algorithm by Stramski et al. (2008): 203.2*Rrs(443)/Rrs(555)^-1.034. This algorithm has shown a relatively good performance in the recent global inter-comparison study conducted by Evers-King et al. (2017). Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Rrs at 443 nm and 555 nm obtained from the ESA Ocean Colour Climate Change Initiative version 4.2 dataset (OC-CCI v4.2)(Sathyendranath et al., 2020). In addition to the papers by Stramski et al. (2008) and Evers-king et al. (2017), for more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home) \r\n\r\nThis version of the dataset is an updated version of the previous 'NCEO: Monthly global Particulate Organic Carbon (POC) (produced from the Ocean Colour Climate Change Initiative, Version 4.2 dataset)'.\r\n\r\nA related product based on the Ocean Colour Climate Change Initiative v5.0 data is also available (see the link in the related records section)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33419,
            "uuid": "db5e6432285d436bad261fcf3bee4ea9",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/bicep/data/particulate_organic_carbon/v5.0/monthly/",
            "numberOfFiles": 561,
            "volume": 265400374948,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33412,
                "uuid": "5006f2c553cd4f26a6af0af2ee6d7c94",
                "short_code": "ob",
                "title": "BICEP/NCEO: Monthly global Particulate Organic Carbon (POC), between 1997-2020 at 4 km resolution (produced from the Ocean Colour Climate Change Initiative v5.0 dataset)",
                "abstract": "The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v5 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 4 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO). \r\n\r\nThe POC datasets have been produced by using a modified empirical band ratio algorithm by Stramski et al. (2008): 292*Rrs(490)/Rrs(560)^-1.49. Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Remote Sensing Reflectance (Rrs) at 490 nm and 560 nm obtained from the ESA Ocean Colour Climate Change Initiative version 5 dataset (OC-CCI v5). For more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home).\r\n\r\nA related dataset based on the ESA Ocean Colour Climate Change Initiative v4.2 data is also available (see link in the related records section)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33432,
            "uuid": "c3e98ebe6bcb458eb5d7cb68b8c42210",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/sentinel_ard/indices/sentinel_1/rviv/",
            "numberOfFiles": 3,
            "volume": 225513124,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33431,
                "uuid": "eac7485cce194194b6731cb41ae463b5",
                "short_code": "ob",
                "title": "JNCC Sentinel-1 indices Analysis Ready Data (ARD) Radar Vegetation Index (RVIv)",
                "abstract": "These data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra NCEA project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains the following indices derived from Defra and JNCC Sentinel-1 Analysis Ready Data.\r\n\r\nRVI and RVIv files are generated for Sentinel-1 orbit 132 (ascending) every 12 days. \r\n\r\nIndices have been generated using the Defra and JNCC Sentinel-1 and Sentinel-2 ARD for the granules and scenes described above. As the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33433,
            "uuid": "0833f342c8554c18a16ad1492ffcfdd4",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/sea_level/data/Arctic_MSLA/20161024/",
            "numberOfFiles": 3715,
            "volume": 571964358,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 32847,
                "uuid": "b98db73607354c7b8ba9bc9347ceb9ed",
                "short_code": "ob",
                "title": "ESA Sea Level Climate Change Initiative (Sea_level_cci): Arctic Sea Level Anomalies from ENVISAT and SARAL/Altika satellite altimetry missions (by CLS/PML)",
                "abstract": "This dataset contains estimations of Arctic sea level anomalies produced by the ESA Sea Level Climate Change Initiative project (Sea_level_cci), based on satellite altimetry from the ENVISAT and SARAL/Altika satellites.    It has been produced by Collecte Localisation Satellites (CLS)  and the Plymouth Marine Laboratory (PML).\r\n\r\nThe retrieval of sea level in the Arctic sea ice covered region requires specific processing steps of the satellite altimetry measurements. For this dataset, a specific radar waveform classification method has been applied based on a neural network approach, and the waveform retracking is based on a new adaptive retracking that is able to process both open ocean and peaky echoes measured in leads without introducing any bias between the two types of surfaces. Editing and mapping processing steps have been optimized for this dataset"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33439,
            "uuid": "dfda7a0af9334634be48c698a0fca5f7",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/sea_level/data/DTU_TUM_Arctic_Antarctic_MSLA/20170720/",
            "numberOfFiles": 6593,
            "volume": 12545439986,
            "fileFormat": "Data are in ascii format.\r\n\r\nFor dataset 1 the columns are:\r\n\r\nLongitude,\r\nLatitude,\r\nHeight (always 0),\r\nSea level anomaly (SLA),\r\nSLA error,\r\nData origin (mission).\r\n\r\nThe time in the filename denotes the beginning of the data, and files contain weekly means.\r\n\r\n\r\nFor Dataset 2 the columns are: \r\n\r\nLongitude,\r\nLatitude,\r\nHeight (always 0),\r\nSea level anomaly (SLA).\r\n\r\nThe filename states the region and the month and year of the dataset (YYYYMM).",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33053,
                "uuid": "f24175ec280b4e1296bb80eb86f88f68",
                "short_code": "ob",
                "title": "ESA Sea Level Climate Change Initiative  (Sea_Level_cci): High Latitude Sea Level Anomalies from satellite altimetry (by DTU/TUM)",
                "abstract": "This dataset contains high latitude sea level anomalies produced by DTU (Technical University of Denmark) and TUM (Technical University of Munich) as part of the ESA Sea Level CCI (Climate Change Initiative) project, covering both the Arctic and Antarctic regions.\r\n\r\nThe data comprises weekly means from August 1991 to April 2017 and has been obtained using satellite altimetry data from four satellite missions: ERS1 (weeks 0 - 217); ERS2 (weeks 218 - 573); Envisat (weeks 574 - 1020); CryoSat-2 (weeks 1021 - 1336).\r\n\r\nTwo datasets are available: dataset #1 is based on the ALES+ retracking without correction of the inverse barometer whereas dataset #2 has been corrected for this effect.\r\n\r\nDataset #1 is provided both 'masked' and 'unmasked', where the masked data have been masked using sea ice concentrations downloaded from osisaf.met.no/p/ice. Dataset #2 is provided both 'masked' and 'unmasked', where the masked data have had data points retrieved over land removed from the files."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33449,
            "uuid": "d89252db53504636b27c0881c8f1cce7",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/ral_ims_ext/data/snpp_2018_subset/v1/",
            "numberOfFiles": 28615,
            "volume": 936384359830,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33423,
                "uuid": "5aa32fb863a048f0b24c541639cfd990",
                "short_code": "ob",
                "title": "RAL extended Infrared Microwave Sounder (IMS) retrievals of atmospheric and surface properties: subset of four selected months in 2018 from Suomi-NPP,  v1",
                "abstract": "The Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) data set retrieves vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with cloud optical depth and effective radius and column amounds of minor gases, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave. \r\n\r\nColumn amounts of the following minor gases are retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8).\r\n\r\nThe retrieval scheme has been applied to the infra-red and microwave sounders on platforms Metop (IASI, AMSU and MHS) and Suomi-NPP (CrIS and ATMS). The data sub-set provided here comprises four months (April, July, September, December) of Suomi-NPP data in 2018 produced with the horizontal sampling of CrIS, ~18x18 km.\r\n\r\nDevelopment of the core IMS scheme was funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. Development of the extended IMS scheme and production of this Suomi-NPP data sub-set were funded through NCEO. Data were produced by the Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).”"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33461,
            "uuid": "fa18e3543f104d07ab0e995b5f0716b4",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/bicep/data/oceanic_export_production/v1.0/monthly/",
            "numberOfFiles": 265,
            "volume": 59142923301,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33414,
                "uuid": "a6fc730d88fd4935b59d64903715d891",
                "short_code": "ob",
                "title": "BICEP / NCEO: Monthly global Oceanic Export Production, between 1998-2019 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset)",
                "abstract": "This dataset contains monthly global data for Oceanic Export Production as part of the BICEP project.   Data is provided between 1998-2019 at 9 km resolution.  It has been derived from the Ocean Colour Climate Change Initiative v4.2 dataset.\r\n\r\nExport production can be defined as steady-state Net Community Production (NCP) with all temporal lags accounted for and with a well defined depth horizon over which the community production is integrated over. (Laws 1991). This is the net amount of carbon assimilated in the euphotic zone that will be exported to deeper waters. Export Production can by definition only vary on timescales significantly longer that any processes directly controlling production and respiration as to not violate the steady state assumption."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33463,
            "uuid": "a517bdc84eeb4eeea93e29de4f823b79",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/mgs/data/macda/v1-0_reference-run",
            "numberOfFiles": 65,
            "volume": 18577536228,
            "fileFormat": "Data are CF-compliant netCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33462,
                "uuid": "acdfa050673c46d49d6a35bfa482762b",
                "short_code": "ob",
                "title": "Mars Analysis Correction Data Assimilation (MACDA): MGS/TES v1.0 Reference Run Data",
                "abstract": "This dataset contains basic gridded atmospheric and surface variables for the planet Mars over three martian years (a martian year is 1.88 terrestrial years), produced as a reference run in association with the Mars Analysis Correction Data Assimilation (MACDA) v1.0 re-analysis. Each file in the dataset spans 30 martian mean solar days (sols) during the science mapping phase of the National Aeronautics and Space Administration's (NASA) Mars Global Surveyor (MGS) spacecraft, between May 1999 and August 2004.\r\n\r\nThis dataset is a reference run produced by re-analysis of Thermal Emission Spectrometer (TES) retrievals of only total dust opacities, using the MACDA scheme in a Mars global circulation model (MGCM). This reference dataset, therefore, should be used in association with the full re-analysis of TES retrievals of nadir thermal profiles and total dust opacities  - see linked dataset.\r\n\r\nThe MGCM used is the UK spectral version of the model developed by the Laboratoire de Météorologie Dynamique in Paris, France.\r\n\r\nMACDA is a collaboration between the University of Oxford and The Open University in the UK."
            },
            "onlineresource_set": []
        },
        {
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            "dataPath": "/badc/cmip6/data/CMIP6/AerChemMIP/BCC/BCC-ESM1/piClim-aer",
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            "observation": {
                "ob_id": 33473,
                "uuid": "5a06a938d202430cb25e1a6156da4e83",
                "short_code": "ob",
                "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"piClim-aer\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: AERmon and Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33478,
            "uuid": "ccbd3079c44d4ccfaf5b6a51434e5cb1",
            "short_code": "result",
            "curationCategory": "A",
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            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33477,
                "uuid": "636eb35013034f98a7cb12c7fa55e9e8",
                "short_code": "ob",
                "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370SST-lowNTCFCH4\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"SSP3-7.0, prescribed SSTs, with low NTCF emissions and methane concentrations\" (ssp370SST-lowNTCFCH4) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Emon, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33481,
            "uuid": "9698ef3a3be146eaaa9298584d496e40",
            "short_code": "result",
            "curationCategory": "A",
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            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33480,
                "uuid": "d6d5b6781cc940299160f31e8d5aaa01",
                "short_code": "ob",
                "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"hist-piAer\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"historical forcing, but with pre-industrial aerosol emissions\" (hist-piAer) experiment. These are available at the following frequencies: Omon and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33484,
            "uuid": "1d71f1e7e513450289083bba10149cc8",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/AerChemMIP/NERC/UKESM1-0-LL/piClim-NOx",
            "numberOfFiles": 265,
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            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33483,
                "uuid": "2beef8c3a89940be9f053b2d0a5d961c",
                "short_code": "ob",
                "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"piClim-NOx\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 NOx emissions\" (piClim-NOx) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33488,
            "uuid": "5ca881642836480784ee8c47d6725e84",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/AerChemMIP/NERC/UKESM1-0-LL/piClim-O3",
            "numberOfFiles": 266,
            "volume": 405107008965,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33487,
                "uuid": "f26bb245261f45b4a5a69762f83df3b7",
                "short_code": "ob",
                "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"piClim-O3\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 ozone precursor emissions\" (piClim-O3) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33491,
            "uuid": "747236edfcca4771aa8d4ef155fc1106",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/AerChemMIP/NERC/UKESM1-0-LL/piClim-VOC",
            "numberOfFiles": 265,
            "volume": 404161967306,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33490,
                "uuid": "31b7e61c9cc2493d933baf6d3cd106cd",
                "short_code": "ob",
                "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"piClim-VOC\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 VOC emissions\" (piClim-VOC) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/AerChemMIP/NERC/UKESM1-0-LL/ssp370SST",
            "numberOfFiles": 511,
            "volume": 809941238149,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33493,
                "uuid": "728424769c32404c87c843d32f51faa2",
                "short_code": "ob",
                "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"ssp370SST\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"SSP3-7.0, with SSTs prescribed from ssp370\" (ssp370SST) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33497,
            "uuid": "5db2c71ccbf14b298b657082c00690d9",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/AerChemMIP/NERC/UKESM1-0-LL/ssp370SST-lowO3",
            "numberOfFiles": 511,
            "volume": 809470931878,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33496,
                "uuid": "d3a4236ca2794a0495c50fed34a802f6",
                "short_code": "ob",
                "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"ssp370SST-lowO3\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"SSP3-7.0, prescribed SSTs, with low ozone precursor emissions\" (ssp370SST-lowO3) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33500,
            "uuid": "ee1d12867efd4584b59b1ec2c357c87f",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/AerChemMIP/NIMS-KMA/UKESM1-0-LL/histSST-piNTCF",
            "numberOfFiles": 702,
            "volume": 1202540081856,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33499,
                "uuid": "78536b3682f74698bcc1718fe963ad43",
                "short_code": "ob",
                "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output for the \"histSST-piNTCF\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team UKESM1-0-LL model output for the \"historical SSTs and historical forcing, but with pre-industrial NTCF emissions\" (histSST-piNTCF) experiment. These are available at the following frequencies: AERday, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33503,
            "uuid": "2ad1533bc01d4a2e8b9db67076c11b4f",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/AerChemMIP/NIWA/UKESM1-0-LL/piClim-HC",
            "numberOfFiles": 267,
            "volume": 404981327605,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33502,
                "uuid": "6f69a36aa6644132a99d000554ad9e22",
                "short_code": "ob",
                "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"piClim-HC\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 halocarbon concentrations (including chemistry)\" (piClim-HC) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33533,
            "uuid": "4639d23efd4a46fdbd00ccd1510a2c6c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/AerChemMIP/NIWA/UKESM1-0-LL/piClim-N2O",
            "numberOfFiles": 268,
            "volume": 405170114285,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33532,
                "uuid": "6b364d79ac8b4c26ab4efbf24c005ea0",
                "short_code": "ob",
                "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"piClim-N2O\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 N2O concentrations (including chemistry)\" (piClim-N2O) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33536,
            "uuid": "dc469a342df44c9aaf7ee4783bd829ca",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/AerChemMIP/NIWA/UKESM1-0-LL/piClim-OC",
            "numberOfFiles": 267,
            "volume": 404580339030,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33535,
                "uuid": "8f7d8fc339584ab99eebccff255c0b7c",
                "short_code": "ob",
                "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"piClim-OC\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 organic carbon emissions\" (piClim-OC) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
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            "uuid": "071dcc1e5e964423bb908b4f1930013a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/AerChemMIP/NIWA/UKESM1-0-LL/piClim-SO2",
            "numberOfFiles": 267,
            "volume": 404583366407,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33538,
                "uuid": "8bac14c3c0bc4c8eb4c0a431dba6bcd3",
                "short_code": "ob",
                "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"piClim-SO2\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 SO2 emissions\" (piClim-SO2) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
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            "uuid": "0885302d3f8f4e6fb816949e6350eef7",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/CDRMIP/MOHC/UKESM1-0-LL/1pctCO2-cdr",
            "numberOfFiles": 764,
            "volume": 823409845271,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33541,
                "uuid": "7c8950992bdb49888d31f7808fabac56",
                "short_code": "ob",
                "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"1pctCO2-cdr\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"1 percent per year decrease in CO2 from 4xCO2\" (1pctCO2-cdr) experiment. These are available at the following frequencies: Amon, Emon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 33545,
            "uuid": "7546ee15324e4f13bf9c31aee8dcd058",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/CDRMIP/MOHC/UKESM1-0-LL/esm-ssp585-ocn-alk-stop",
            "numberOfFiles": 415,
            "volume": 197816578082,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 33544,
                "uuid": "ddf00a0eca5d4c84a88bffe807ebd372",
                "short_code": "ob",
                "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"esm-ssp585-ocn-alk-stop\" experiment",
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                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "short_code": "ob",
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                "short_code": "ob",
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                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aquaplanet control with longwave cloud radiative effects off\" (aqua-control-lwoff) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the \"as piSST but with SSTs from abrupt-4xCO2\" (a4SST) experiment. These are available at the following frequencies: Amon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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}