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                "ob_id": 38854,
                "uuid": "89e1b69ad74146cfa8b0a941108811c2",
                "short_code": "ob",
                "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.28 (v20221104)",
                "abstract": "Data for Figure Atlas.28 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.28 shows changes in annual mean surface air temperature, precipitation and sea level rise relative to the 1995–2014 baseline for the reference regions in the Small Islands region for different lines of evidence (CMIP5, CORDEX and CMIP6).\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 citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. 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. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twelve panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\nSea level rise data from the CMIP6 ensemble is also used for the right-hand plot of each panel.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions in the Small Islands are used for the production of this figure. \r\n\r\nSea level projections data can be found here: https://www.wdc-climate.de/ui/entry?acronym=IPCC-DDC_AR6_Sup_SLPr\r\n\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\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure, use the 'regional-scatter-plots_R.ipynb' notebook. Information on reproducibility can be found in the 'reproducibility/projections' folder of the Atlas GitHub repository.\r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\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 figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub.\r\n - Link to IPCC AR6 WGI Sea Level Projections"
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            "ob_id": 40287,
            "uuid": "8315c12e90cd4eafabc3dc9f49c78820",
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            "dataPath": "/neodc/esacci/sea_level/data/XTRACK_ALES_SLA/Trends_SelectedSites/v2.2/",
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            "observation": {
                "ob_id": 39803,
                "uuid": "90049a6555d1480bb5ce9637051dede8",
                "short_code": "ob",
                "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): New network of virtual altimetry stations for measuring sea level along the world coastlines from 2002 to 2019, v2.2",
                "abstract": "This dataset contains  a 17-year-long (January 2002 to December 2019 ), high-resolution (20 Hz), along-track sea level dataset in coastal zones of: Northeast Atlantic,  Mediterranean Sea, whole African continent, North Indian Ocean, Southeast Asia,  Australia and North and South America.  Up to now, satellite altimetry has provided global gridded sea level time series up to 10-15 km from the coast only, preventing the estimation of how sea level changes very close to the coast on interannual to decadal time scales. \r\n\r\nThis dataset has been derived from a new version of the ESA SL_cci+  dataset of coastal sea level anomalies which is based on the reprocessing of raw radar altimetry waveforms from the Jason-1, Jason-2 and Jason-3 satellite missions to derive satellite-sea surface ranges as close as possible to the coast (a process called ‘retracking’) and optimization of the geophysical corrections applied to the range measurements to produce sea level time series.\r\n\r\nThis large amount of coastal sea level estimates has been further analysed to produce the present dataset: a total of 756 altimetry-based virtual coastal stations have been selected and sea level anomalies time series together with associated coastal sea level trends have been computed over the study time span. \r\n\r\nThe main objective of this dataset is to analyze the sea level trends close to the coast and compare them with the sea level trends observed in the open ocean and to determine the causes of the potential differences.\r\n\r\nThe product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative (SL_cci+). See 'The Climate Change Coastal Sea Level Team (2020). Sea level anomalies and associated trends estimated from altimetry from 2002 to 2018 at selected coastal sites. Scientific Data (Nature), in press'.\r\n\r\nThis dataset is v2.2 of the data and is a copy of the v2.2 data published on the SEANOE (SEA scieNtific Open data Edition) website (https://doi.org/10.17882/74354#98856)  \r\n\r\nThe dataset should be cited as: \tCazenave Anny, Gouzenes Yvan, Birol Florence, Legér Fabien, Passaro Marcello, Calafat Francisco M, Shaw Andrew, Niño Fernando, Legeais Jean François, Oelsmann Julius, Benveniste Jérôme (2022). New network of virtual altimetry stations for measuring sea level along the world coastlines. SEANOE.  https://doi.org/10.17882/74354\r\n\r\nIn addition,it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :\r\n\r\n - Cazenave Anny, Gouzenes Yvan, Birol Florence, Leger Fabien, Passaro Marcello, Calafat Francisco M., Shaw Andrew, Nino Fernando, Legeais Jean François, Oelsmann Julius, Restano Marco, Benveniste Jérôme (2022). Sea level along the world’s coastlines can be measured by a network of virtual altimetry stations. Communications Earth & Environment, 3 (1). https://doi.org/10.1038/s43247-022-00448-z\r\n\r\n -  Benveniste Jérôme, Birol Florence, Calafat Francisco, Cazenave Anny, Dieng Habib, Gouzenes Yvan, Legeais Jean François, Léger Fabien, Niño Fernando, Passaro Marcello, Schwatke Christian, Shaw Andrew (2020). Coastal sea level anomalies and associated trends from Jason satellite altimetry over 2002–2018. Scientific Data, 7 (1). https://doi.org/10.1038/s41597-020-00694-w"
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            "short_code": "result",
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            "dataPath": "/badc/cmip6/data/CMIP6/CDRMIP/MIROC/MIROC-ES2L/esm-pi-cdr-pulse",
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                "ob_id": 40288,
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                "short_code": "ob",
                "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-pi-cdr-pulse\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"pulse removal of 100 Gt carbon from pre-industrial atmosphere\" (esm-pi-cdr-pulse) experiment. These are available at the following frequencies: Amon, Lmon and Omon. 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.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)."
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                "ob_id": 40291,
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                "short_code": "ob",
                "title": "WCRP CMIP6: the MIROC team MIROC-ES2H model output for the \"abrupt-4xCO2\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2H model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: r1i1p1f2, r1i1p2f2, r1i1p3f2 and r1i1p4f2.\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.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)."
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            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/CMIP/MIROC/MIROC-ES2H/piControl",
            "numberOfFiles": 30,
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                "ob_id": 40294,
                "uuid": "f317c8d729404e329eb88de1716d4389",
                "short_code": "ob",
                "title": "WCRP CMIP6: the MIROC team MIROC-ES2H model output for the \"piControl\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2H model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: r1i1p1f2, r1i1p2f2, r1i1p3f2 and r1i1p4f2.\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.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)."
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                "uuid": "12ce1a305f7649bc85a9b81e782da0c9",
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                "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.28 (v20230523)",
                "abstract": "Data for Figure 2.28 from Chapter 2 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 2.28 shows changes in global mean sea level.\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\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of 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. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.28:\r\n\r\n a) AR6 FGD assessment timeseries GMSL satellite altimeter \r\n b) AR6 FGD assessment timeseries GMSL tide gauge\r\n\r\nThese data files can be found from data for Cross-Chapter Box 9.1, Figure 1. The link to this dataset is provided in the Related Documents section of this catalogue record.\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 figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n- Link to Cross-Chapter Box 9.1, Figure 1"
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            "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig26/v20230523",
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                "ob_id": 40095,
                "uuid": "3659eca2afe54ab9ae437bf25fec1c2e",
                "short_code": "ob",
                "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.26 (v20230523)",
                "abstract": "Data for Figure 2.26 from Chapter 2 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 2.26 shows changes in ocean heat content (OHC).\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\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of 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. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.26:\r\n\r\n-  AR6 FGD assessment timeseries OHC\r\n\r\nThese data files are from data for Cross-Chapter Box 9.1, Figure 1. The link to this dataset is provided in the Related Documents section of this catalogue record.\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 figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n- Link to Cross-Chapter Box 9.1, Figure 1"
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                "ob_id": 40300,
                "uuid": "5fda109ab71947b6b7724077bf7eb753",
                "short_code": "ob",
                "title": "CRU TS4.07: Climatic Research Unit (CRU) Time-Series (TS) version 4.07 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2022)",
                "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.07 data are month-by-month variations in climate over the period 1901-2022, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia and funded by the UK National Centre for Atmospheric Science (NCAS), a NERC collaborative centre.\r\n\r\nThe CRU TS4.07 variables are cloud cover, diurnal temperature range, frost day frequency, wet day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2022.\r\n\r\nThe CRU TS4.07 data were produced using angular-distance weighting (ADW) interpolation. All versions prior to 4.00 used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.07 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies."
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                "short_code": "ob",
                "title": "Non-methane hydrocarbon data from the Manchester Air Quality site, 2022 onwards",
                "abstract": "A long term dataset of volatile organic carbons (VOCs) measured by a thermal desorption unit coupled to a gas chromatograph fitted with two flame ionisation detectors at the Manchester Air Quality Supersite from 2022 onwards, for the Integrated Research Observation System for Clean Air (OSCA) project."
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            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "Complete merged point clouds (.laz) per acquisition flight and derived raster products in .tif georeferenced format (Digital surface model - DSM; Canopy height model - CHM; Digital terrain model - DTM",
            "storageStatus": "online",
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        {
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            "uuid": "ada620f81ced4496976eda6da7faa983",
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                "short_code": "ob",
                "title": "Daily Light Detection and Ranging (LiDAR) scans of an eroding soft cliff at Happisburgh, UK (April-September 2019)",
                "abstract": "This dataset contains 169 point-cloud elevation and colour intensity data collected daily along a 450 metre coastal stretch at Happisburgh, UK, over a time span of 6 months (April 6, 2019 to September 30, 2019). Also included are subsets of these point-clouds, named slices and grids. Scans were taken approximately daily, and on some days only one scanner was run resulting in half-size scans. A single FARO S350 LiDAR scanner was placed at two fixed locations on the beach, spaced 178 metres alongshore and between 30 to 40 metres from the 10 metre high cliff. The duration of the scanning at each location was around 30 minutes. This data was collected to better understand the dynamic of beach-cliff and shore platform interaction along soft cliffed coasts. ScanLAB Projects Ltd were responsible for the collection of the data under the United Kingdom Research and Innovation (UKRI) Innovate UK funded project “Multiscale 3D Scanning with Framerate for TV and Immersive Applications”. The data are restricted to non-commercial use."
            },
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        {
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            "observation": {
                "ob_id": 40044,
                "uuid": "b8cf940850164ebeb4cba343384f88b8",
                "short_code": "ob",
                "title": "Daily Light Detection and Ranging (LiDAR) scans of an eroding soft cliff at Happisburgh, UK (October-December 2019)",
                "abstract": "This dataset contains 67 point-cloud elevation and colour intensity data collected daily along a 450 metre coastal stretch at Happisburgh, UK, over a time span of 3 months (October 2, 2019 to December 23, 2019). Also included are subsets of these point-clouds, named slices and grids. Scans were taken approximately daily, and on some days only one scanner was run resulting in half-size scans. A single FARO S350 LiDAR scanner was placed at two fixed locations on the beach, spaced 178 metres alongshore and between 30 to 40 metres from the 10 metre high cliff. The duration of the scanning at each location was around 30 minutes. These data were collected to better understand the dynamic of beach-cliff and shore platform interaction along soft cliffed coasts. ScanLAB Projects Ltd were responsible for the collection of the data, along with the British Geological Survey (BGS), funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project). This was a continuation of an Innovate UK project undertaken by ScanLAB Projects Ltd."
            },
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        },
        {
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            "uuid": "d751050eec1a4bb782b35d13e233403a",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/deposited2023/SPF_CRHealth",
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            "fileFormat": "Data are provided in Comma Separated Values file (.csv) and R data file (*.Rds ) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40123,
                "uuid": "d15196fa0aec4cf4b489f62f866a1a72",
                "short_code": "ob",
                "title": "Temperature-attributable mortality (and hospital admission) time series, UK (1900-2099)",
                "abstract": "This dataset contains estimates of mortality and number of hospital admissions that can be attributed to temperature, from observations and climate projections, and includes some of the underlying climate data. The data are divided into the subdirectories ‘epi_model’, ‘HadUKgrid’, ‘London’, ‘regimes’, and ‘UKCP18’ as follows:\r\n\r\nepi_model: \r\n- Model fits of exposure-response relationships \r\n\r\nHadUKgrid: \r\n- Temperature-attributable mortality/hospital admission time series for the observed record (1981/1991-2018)\r\n- List of the 10 highest mortality days from 1991 to 2018 based on UK-total temperature-related mortality\r\n\r\nLondon: \r\n- Average daily temperature by London boroughs simulated with an urban model, October 2015 to 2019\r\n- Attributable hospital admission by London boroughs based on the above temperature time series\r\n\r\nregimes: \r\n- Weather regime and pattern classification for the observed record (1850/1979-2019)\r\n\r\nUKCP18: \r\n- Attributable mortality time series for UKCP18 climate projections (1900-2099)\r\n\r\nFurther details including file contents and methods can be found in the README.txt files for each dataset. This dataset was produced for the UK Climate Resilience Programme - Addressing the resilience needs of the UK health sector: climate service pilots."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40347,
            "uuid": "1a2e3b89038a44b3a22e7e7736daa3d0",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/cru/data/cru_cy/cru_cy_4.07/",
            "numberOfFiles": 2924,
            "volume": 51821666,
            "fileFormat": "The CRU CY data are provided as text files with the extension \".per\", most text editors will open these files. See the linked file formats guide for more information.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40346,
                "uuid": "def64ef885684e199f03a4c50bc2f8dc",
                "short_code": "ob",
                "title": "CRU CY4.07: Climatic Research Unit year-by-year variation of selected climate variables by country  version 4.07 (Jan. 1901 - Dec. 2022)",
                "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.07 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency: including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure, potential evapotranspiration and wet day frequency. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2023 by CRU at the University of East Anglia and extends the CRU CY4.06 data to include 2022. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.07 is derived directly from the CRU time series (TS) 4.06 dataset. CRU CY version 4.07 spans the period 1901-2022 for 292 countries.\r\n\r\nTo understand the CRU CY4.07 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.06. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.07 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40352,
            "uuid": "9d6775c391e44401a63e0d14bf60c8d3",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/MIROC/MIROC-ES2H/senD2-sai/",
            "numberOfFiles": 8518,
            "volume": 445630412659,
            "fileFormat": "Data are Net-CDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40351,
                "uuid": "af0ea05fec104b418d4dc43f230f35e5",
                "short_code": "ob",
                "title": "CCMI-2022: senD2-sai data produced by the MIROC-ES2H model from MIROC",
                "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-sai produced by the MIROC-ES2H model which is based on a global climate model MIROC (Model for Interdisciplinary Research on Climate). This has been cooperatively developed by JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan).\r\n\r\nThe senD2-sai simulation is based on the refD2 experiment but with a modified specified stratospheric aerosol distribution reflecting increased stratospheric aerosol amounts from stratospheric aerosol injection (SAI). Sea ice and sea surface temperatures (SSTs) are specified to follow a repeating annual cycle taken from those used by the same model for their refD2 experiment over 2020 - 2030, the period when SAI is assumed to have been initiated.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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"
            },
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        },
        {
            "ob_id": 40353,
            "uuid": "d65eccac80634e6aacb3ba2cf57ee353",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/ECCC/CMAM/senD2-sai/",
            "numberOfFiles": 379,
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            "fileFormat": "Data are Net-CDF formatted",
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            "storageLocation": "internal",
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            "observation": {
                "ob_id": 39360,
                "uuid": "3c1cfa751e964629a780a58c7365caa3",
                "short_code": "ob",
                "title": "CCMI-2022: senD2-sai data produced by the CMAM model at CCCma",
                "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-sai produced by the CMAM model run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis) in the Climate Research Division of Environment and Climate Change Canada.\r\n\r\nThe senD2-sai simulation is based on the refD2 experiment but with a modified specified stratospheric aerosol distribution reflecting increased stratospheric aerosol amounts from stratospheric aerosol injection (SAI). Sea ice and sea surface temperatures (SSTs) are specified to follow a repeating annual cycle taken from those used by the same model for their refD2 experiment over 2020 - 2030, the period when SAI is assumed to have been initiated.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": 40362,
            "uuid": "5362e22920b14057a476dd74d303b393",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NCAR/CESM2-WACCM/refD1",
            "numberOfFiles": 7520,
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            "fileFormat": "Data are Net-CDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40361,
                "uuid": "4610c48742a14980afdb4ff5b2f733d4",
                "short_code": "ob",
                "title": "CCMI-2022: refD1 data produced by the CESM2-WACCM model at NCAR",
                "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the CESM2-WACCM model run by the modelling team at the NCAR (National Center for Atmospheric Research), in the US.\r\n\r\nThe refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.\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\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": 40365,
            "uuid": "4bb436cbcf8a42238d2d8d822478394c",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NCAR/CESM2-WACCM/refD2",
            "numberOfFiles": 12913,
            "volume": 1554443830153,
            "fileFormat": "Data are Net-CDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40364,
                "uuid": "7b8f6c90cadf443e92fd39fb30f047b0",
                "short_code": "ob",
                "title": "CCMI-2022: refD2 data produced by the CESM2-WACCM model at NCAR",
                "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the CESM2-WACCM model run by the modelling team at the NCAR (National Center for Atmospheric Research), in the US.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": []
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        {
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            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NCAR/CESM2-WACCM/senD2-sai",
            "numberOfFiles": 7081,
            "volume": 851818366135,
            "fileFormat": "Data are Net-CDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40366,
                "uuid": "42330587bdc44dd299262c591fd866a6",
                "short_code": "ob",
                "title": "CCMI-2022: senD2-sai data produced by the CESM2-WACCM model at NCAR",
                "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-sai produced by the CESM2-WACCM model run by the modelling team at the NCAR (National Center for Atmospheric Research), in the US.\r\n\r\nThe senD2-sai simulation is based on the refD2 experiment but with a modified specified stratospheric aerosol distribution reflecting increased stratospheric aerosol amounts from stratospheric aerosol injection (SAI). Sea ice and sea surface temperatures (SSTs) are specified to follow a repeating annual cycle taken from those used by the same model for their refD2 experiment over 2020 - 2030, the period when SAI is assumed to have been initiated.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": 40370,
            "uuid": "bf8de4abfed743d8bcd64a13faf753ca",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/ECMWF/IFS/nudged",
            "numberOfFiles": 9793,
            "volume": 1795623156127,
            "fileFormat": "Data are Net-CDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40369,
                "uuid": "1b959bc3b82d4198924b976f5dced9d9",
                "short_code": "ob",
                "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the IFS model at ECMWF",
                "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by scientists at ECMWF (European Centre for Medium-Range Weather Forecasts, United Kingdom). This dataset contains all ensemble members by the ECMWF IFS model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- ECMWF IFS model reference publication"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40373,
            "uuid": "b70fd31f0620413ab54e65fb08aa6d54",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/ECMWF/IFS/free",
            "numberOfFiles": 9793,
            "volume": 1795903845015,
            "fileFormat": "Data are Net-CDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40372,
                "uuid": "a597a291cb00455fa1184f7a701dbc2e",
                "short_code": "ob",
                "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the IFS model at ECMWF",
                "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at ECMWF (European Centre for Medium-Range Weather Forecasts, United Kingdom). This dataset contains all ensemble members  by the ECMWF IFS model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- ECMWF IFS model reference publication"
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                "ob_id": 40374,
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                "short_code": "ob",
                "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged-full data produced by the IFS model at ECMWF",
                "abstract": "This dataset contains model data for SNAPSI experiment 'nudged-full' produced by scientists at ECMWF (European Centre for Medium-Range Weather Forecasts, United Kingdom). This dataset contains all ensemble members  by the ECMWF IFS model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- ECMWF IFS model reference publication"
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            "observation": {
                "ob_id": 40376,
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                "short_code": "ob",
                "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the SPEAR model at NOAA-GFDL",
                "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at NOAA-GFDL (National Oceanic and Atmospheric Administration- Geophysical Fluid Dynamics Laboratory) in Princeton, USA. This dataset contains all ensemble members  by the GFDL SPEAR model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- GFDL SPEAR reference publication: Delworth et al. (2020)"
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                "ob_id": 40384,
                "uuid": "a9746a66ed654c26983eb7529a592275",
                "short_code": "ob",
                "title": "Surface level turbulence derived from MASIN flight measurements and the MetUM model for the Iceland Greenland Sea's Project (IGP)",
                "abstract": "This dataset contains surface layer turbulent fluxes and meteorological variables derived from Meteorological Airborne Science Instrumentation (MASIN) instrumentation measurements onboard the British Antarctic Survey (BAS) Twin Otter aircraft combined with the Met Office Unified Model (MetUM) 2.2 km quasi-operational forecast model output. These data were based on measurements made during the     February-March 2018 field campaign of the Iceland Greenland Sea's Project (IGP) which included the UK component- Atmospheric Forcing of the Iceland Sea (AFIS) project- funded by NERC (NE/N009754/1)."
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                "ob_id": 40385,
                "uuid": "7ff1c538597b4e7f9aa09f52ce5df79c",
                "short_code": "ob",
                "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the CESM2-CAM6 model at NCAR",
                "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at NCAR (National Center for Atmospheric Research, USA). The data is generated with the coupled climate model CESM2-CAM6.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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-  Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Danabasoglu et al. (2020)\r\n- Richter et al. (2021)"
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                "short_code": "ob",
                "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the CESM2-CAM6 model at NCAR",
                "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at NCAR (National Center for Atmospheric Research, USA). The data is generated with the coupled climate model CESM2-CAM6.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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-  Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Danabasoglu et al. (2020)\r\n- Richter et al. (2021)"
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                "short_code": "ob",
                "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the CESM2-CAM6 model at NCAR",
                "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at NCAR (National Center for Atmospheric Research, USA). The data is generated with the coupled climate model CESM2-CAM6.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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-  Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Danabasoglu et al. (2020)\r\n- Richter et al. (2021)"
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                "ob_id": 40393,
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                "short_code": "ob",
                "title": "MOASA flight M247: airborne observations from the Clean Air project over the south west of the UK",
                "abstract": "Observations collected during flight M247 on 31 July 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK,  in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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            "storageStatus": "online",
            "storageLocation": "internal",
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                "ob_id": 40397,
                "uuid": "60479dc3e8e3439dbc55a08fd8ebb90b",
                "short_code": "ob",
                "title": "MOASA flight M251: airborne observations from the Clean Air project over London, UK",
                "abstract": "Observations collected during flight M251 on 03 September 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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            "onlineresource_set": []
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                "ob_id": 40401,
                "uuid": "ac62a673c5be42fbaf81ed1f4186d3fc",
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                "title": "MOASA flight M252: airborne observations from the Clean Air project over London, UK",
                "abstract": "Observations collected during flight M252 on 05 September 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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            "observation": {
                "ob_id": 40405,
                "uuid": "d34388ce844740d9ad5b8b1aa4186fb6",
                "short_code": "ob",
                "title": "MOASA flight M253: airborne observations from the Clean Air project over the north east of the UK",
                "abstract": "Observations collected during flight M253 on 20 September 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the north east of the UK  in a  ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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            "onlineresource_set": []
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            "short_code": "result",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40409,
                "uuid": "44c589f14c5749de8b283f73707f9b79",
                "short_code": "ob",
                "title": "MOASA flight M256: airborne observations from the Clean Air project over the south west of the UK",
                "abstract": "Observations collected during flight M256 on 22 October 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK,  in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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            "onlineresource_set": []
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                "ob_id": 40413,
                "uuid": "2bbcb7b923bc4e49b33f7814e27d2224",
                "short_code": "ob",
                "title": "MOASA flight M257: airborne observations from the Clean Air project over Port Talbot, UK",
                "abstract": "Observations collected during flight M257 on 23 October 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in situ atmospheric composition measurements over Port Talbot, UK  in a high density spatial mapping flight pattern.\r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Port Talbot, UK  in a high density spatial mapping flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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            "observation": {
                "ob_id": 40417,
                "uuid": "6bc38ceb9178415c9826bc8ad7c4d550",
                "short_code": "ob",
                "title": "MOASA flight M258: airborne observations from the Clean Air project over the south coast of the UK",
                "abstract": "Observations collected during flight M258 on 30 October 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK  in a South coast survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "ob_id": 40421,
                "uuid": "4a9ed1f4b93a4d52b6a14432c49d3ce2",
                "short_code": "ob",
                "title": "MOASA flight M262: airborne observations from the Clean Air project over the north east of the UK",
                "abstract": "Observations collected during flight M262 on 10 January 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the north east of the UK  in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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            "curationCategory": "A",
            "dataPath": "/badc/deposited2023/moasa_clean_air_data/M263",
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            "fileFormat": "NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 40425,
                "uuid": "af8181dcc3084098a612e2cb84f0412d",
                "short_code": "ob",
                "title": "MOASA flight M263: airborne observations from the Clean Air project over the south west of the UK",
                "abstract": "Observations collected during flight M263 on 15 January 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK,  in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
            },
            "onlineresource_set": []
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            "ob_id": 40430,
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2023/moasa_clean_air_data/M264",
            "numberOfFiles": 27,
            "volume": 41633851,
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            "storageLocation": "internal",
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            "observation": {
                "ob_id": 40429,
                "uuid": "301eea0daed8410395198b2474aa7a77",
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                "title": "MOASA flight M264: airborne observations from the Clean Air project over London, UK",
                "abstract": "Observations collected during flight M264 on 20 January 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M272 on 07 October 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK, in a Coastal transition flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M274 on 06 November 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol)  over the south coast of the UK  in a South coast survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M275 on 26 November 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M276 on 01 December 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M277 on 09 December 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M279 on 08 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M280 on 09 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol)over the south coast of the UK, in a Coastal Transition flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M281 on 17 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Port Talbot, UK, in a high density spatial mapping flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M282 on 19 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M284 on 24 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Port Talbot, UK,  in a high density spatial mapping flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M286 on 31 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK,  in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M287 on 22 April 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M288 on 19 May 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK  in a ground network survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M289 on 27 May 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK  in a Coastal transition flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M290 on 09 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M293 on 15 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M294 on 16 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M316 on 10 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M322 on 08 March 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK  in a Coastal transition flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M270 on 15 September 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) collected over the north east of the UK in a ground network survey flight pattern, including stacked level runs north of Cambridge during warm temperatures, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M278 on 17 December 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) from a flight over Chilbolton, Hampshire, UK with stacked level runs as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "abstract": "Observations collected during flight M285 on 30 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UKin a Coastal transition flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "short_code": "ob",
                "title": "MOASA flight M291: airborne observations from the Clean Air project  over Birmingham",
                "abstract": "Observations collected during flight M291 on 10 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "title": "MOASA flight M292: airborne observations from the Clean Air project over Manchester, UK",
                "abstract": "Observations collected during flight M292 on 14 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "title": "MOASA flight M295: airborne observations from the Clean Air project over Birmingham, UK",
                "abstract": "Observations collected during flight M295 on 23 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "title": "MOASA flight M296: airborne observations from the Clean Air project over Birmingham, UK",
                "abstract": "Observations collected during flight M296 on 01 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "title": "MOASA flight M297: airborne observations from the Clean Air project over London, UK",
                "abstract": "Observations collected during flight M297 on 02 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "title": "MOASA flight M298: airborne observations from the Clean Air project over Manchester, UK",
                "abstract": "Observations collected during flight M298 on 08 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "short_code": "ob",
                "title": "MOASA flight M299: airborne observations from the Clean Air project over Manchester, UK",
                "abstract": "Observations collected during flight M299 on 09 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "short_code": "ob",
                "title": "MOASA flight M300: airborne observations from the Clean Air project over Manchester, UK",
                "abstract": "Observations collected during flight M300 on 20 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "title": "MOASA flight M301: airborne observations from the Clean Air project over the south coast of the UK",
                "abstract": "Observations collected during flight M301 on 21 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol)  over the south coast of the UK in a south coast survey flight pattern in warm conditions as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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                "short_code": "ob",
                "title": "MOASA flight M302: airborne observations from the Clean Air project over London, UK",
                "abstract": "Observations collected during flight M302 on 22 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
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            "observation": {
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                "short_code": "ob",
                "title": "MOASA flight M310: airborne observations from the Clean Air project over Birmingham, UK",
                "abstract": "Observations collected during flight M310 on 27 January 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40586,
            "uuid": "f0f481dddf2f402594a2443baa4291d7",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2023/moasa_clean_air_data/M311",
            "numberOfFiles": 38,
            "volume": 45818392,
            "fileFormat": "NetCDF format",
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            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40585,
                "uuid": "c88f3f2b82964acb889c8a54e8c6676a",
                "short_code": "ob",
                "title": "MOASA flight M311: airborne observations from the Clean Air project over London, UK",
                "abstract": "Observations collected during flight M311 on 28 January 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40590,
            "uuid": "df1fa0d2426c44c18ee37105fd554e5f",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2023/moasa_clean_air_data/M312",
            "numberOfFiles": 39,
            "volume": 196338996,
            "fileFormat": "NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40589,
                "uuid": "58467eab1666415eb3a263d474788050",
                "short_code": "ob",
                "title": "MOASA flight M312: airborne observations from the Clean Air project over Birmingham, UK",
                "abstract": "Observations collected during flight M312 on 02 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n \r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40594,
            "uuid": "f8d40b3a2dba4668816b393eb44b1d0f",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2023/moasa_clean_air_data/M313",
            "numberOfFiles": 38,
            "volume": 93474780,
            "fileFormat": "NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40593,
                "uuid": "69d3588403e54a3a8fb3030a05346619",
                "short_code": "ob",
                "title": "MOASA flight M313: airborne observations from the Clean Air project over Birmingham, UK",
                "abstract": "Observations collected during flight M313 on 03 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40598,
            "uuid": "0b2e6ae37f0c4a4c95fab8b737f38a3e",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2023/moasa_clean_air_data/M314",
            "numberOfFiles": 38,
            "volume": 47304151,
            "fileFormat": "NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40597,
                "uuid": "04019f530812432e9bb29edc7f2b486f",
                "short_code": "ob",
                "title": "MOASA flight M314: airborne observations from the Clean Air project over London, UK",
                "abstract": "Observations collected during flight M314 on 04 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40602,
            "uuid": "8bccdc19b5f84c9bbc66711f5d55428f",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2023/moasa_clean_air_data/M315",
            "numberOfFiles": 38,
            "volume": 48504093,
            "fileFormat": "NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40601,
                "uuid": "d624b92a893745c6b9394b8da5759b10",
                "short_code": "ob",
                "title": "MOASA flight M315: airborne observations from the Clean Air project over London, UK",
                "abstract": "Observations collected during flight M315 on 08 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40606,
            "uuid": "03b845397fea4c50bf61e4c15520b1a0",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2023/moasa_clean_air_data/M317",
            "numberOfFiles": 38,
            "volume": 55000590,
            "fileFormat": "NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40605,
                "uuid": "305e7cdb1c734c419ca3e77a670d5b28",
                "short_code": "ob",
                "title": "MOASA flight M317: airborne observations from the Clean Air project over Manchester, UK",
                "abstract": "Observations collected during flight M317 on 11 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period.  Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40610,
            "uuid": "ac7032cb84ae4d30975a42b55dc09fab",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2023/moasa_clean_air_data/M319",
            "numberOfFiles": 38,
            "volume": 49589106,
            "fileFormat": "NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40609,
                "uuid": "6db598f645284d369716952625271fe1",
                "short_code": "ob",
                "title": "MOASA flight M319: airborne observations from the Clean Air project over London, UK",
                "abstract": "Observations collected during flight M319 on 25 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements  (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40620,
            "uuid": "f8dbe91b677e451d9b0afeacf9f2acfb",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISDH-marine/mon/HadISDHTable/r1/v1-4-1-2022f/",
            "numberOfFiles": 8,
            "volume": 247233146,
            "fileFormat": "Data are NetCDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40618,
                "uuid": "755bc61b5524498db67f9468a92d8cfc",
                "short_code": "ob",
                "title": "HadISDH.marine: gridded global monthly ocean surface humidity data version 1.4.1.2022f",
                "abstract": "This is the HadISDH.marine 1.4.1.2022f version of the Met Office Hadley Centre Integrated Surface Dataset of Humidity (HadISDH). HadISDH.marine is a near-global gridded monthly mean marine surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from ships. The observations have been quality controlled and bias-adjusted. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). The data are provided by the Met Office Hadley Centre and this version spans 1/1/1973 to 31/12/2022.\r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD).\r\n\r\nThis version extends the previous version to the end of 2022. Users are advised to read the update document in the Docs section for full details on all changes from the previous release.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I., 2020: Development of\r\nthe HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data,\r\n12, 2853-2880, https://doi.org/10.5194/essd-12-2853-2020\r\n\r\nFreeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E.,\r\nBerry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J.,\r\nRayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to\r\nthe historical marine climate record. International Journal of Climatology.\r\ndoi:10.1002/joc.4775."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40622,
            "uuid": "edf79bafe96547719600f765c70b062e",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISDH-blend/mon/HadISDHTable/r1/v1-4-1-2022f/",
            "numberOfFiles": 8,
            "volume": 173874765,
            "fileFormat": "Data are NetCDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40621,
                "uuid": "c3c1526fba8f4a5382d2f9fb86966d82",
                "short_code": "ob",
                "title": "HadISDH.blend: gridded global monthly land and ocean surface humidity data version 1.4.1.2022f",
                "abstract": "This is the HadISDH.blend 1.4.1.2022f version of the Met Office Hadley Centre Integrated Surface Dataset of Humidity (HadISDH). HadISDH.blend is a near-global gridded monthly mean surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from ships and weather stations. The observations have been quality controlled and homogenised / bias adjusted. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). These data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2022.\r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD).\r\n\r\nThis version extends the previous version to the end of 2022. It combines the latest version of HadISDH.land and HadISDH.marine. and therefore their respective update notes. Users are advised to read the update documents in the Docs section for full details.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I., 2020: Development of\r\nthe HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data,\r\n12, 2853-2880, https://doi.org/10.5194/essd-12-2853-2020\r\n\r\nFreeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E.,\r\nBerry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J.,\r\nRayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to\r\nthe historical marine climate record. International Journal of Climatology.\r\ndoi:10.1002/joc.4775.\r\n\r\nWillett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E.,\r\nJones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and\r\ntemperature record for climate monitoring, Clim. Past, 10, 1983-2006,\r\ndoi:10.5194/cp-10-1983-2014, 2014.\r\n\r\nDunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station\r\ndata from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491.\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent\r\nDevelopments and Partnerships. Bulletin of the American Meteorological Society, 92,\r\n704-708, doi:10.1175/2011BAMS3015.1\r\n\r\nWe strongly recommend that you read these papers before making use of the data, more\r\ndetail on the dataset can be found in an earlier publication:\r\n\r\nWillett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de\r\nPodesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface\r\nspecific humidity product for climate monitoring. Climate of the Past, 9, 657-677,\r\ndoi:10.5194/cp-9-657-2013."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40625,
            "uuid": "dbe466e16cc94dfbb5bcb7f8b2d7ce51",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/NOAA-GFDL/SPEAR/nudged-full",
            "numberOfFiles": 5401,
            "volume": 835752988792,
            "fileFormat": "Files are Net-CDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40624,
                "uuid": "33138664259340c09737eba915d9cfbf",
                "short_code": "ob",
                "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged-full data produced by the SPEAR model at NOAA-GFDL",
                "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at NOAA-GFDL (National Oceanic and Atmospheric Administration- Geophysical Fluid Dynamics Laboratory) in Princeton, USA. This dataset contains all ensemble members  by the GFDL SPEAR model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- GFDL SPEAR reference publication: Delworth et al. (2020)"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40627,
            "uuid": "021e5dcb3f3c48ddbd0f324d902a67bc",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/qa4ecv/data/modis_prior/",
            "numberOfFiles": 349943,
            "volume": 15360921200052,
            "fileFormat": "These data are provided in netCDF format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40626,
                "uuid": "113a9f64c89542b0bb3836ad117a77a2",
                "short_code": "ob",
                "title": "QA4ECV MODIS Prior (2000-2016)",
                "abstract": "The Quality Assurance for Essential Climate Variables (QA4ECV) project produced MODIS priors as part of their processing chain."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40628,
            "uuid": "d41b1a3611824becaa65ba2dbe229ebe",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/forestscan/data/french_guiana/paracou/UAV_Paracou_2023_MultiplePlots/AMAP_Paracou_drone/",
            "numberOfFiles": 165,
            "volume": 3964810390,
            "fileFormat": "Complete merged point clouds (.laz) per acquisition flight and derived raster products in .tif georeferenced format (Digital surface model - DSM; Canopy height model - CHM; Digital terrain model - DTM)",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40322,
                "uuid": "005f2e0aebc24ed98a9772a0ba3798e2",
                "short_code": "ob",
                "title": "ForestScan Project: Multiple Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) data acquisitions of FBRMS-01: Paracou, French Guiana, plots 4, 5, 6, 8, IRD-CNES and Flux-Tower area, October 2019",
                "abstract": "This dataset contains complete merged point clouds (.laz) per acquisition flight, derived raster products in .tif georeferenced format, Digital surface models (.DSM),  Canopy height models (.CHM) and Digital terrain models (.DTM). The data is from multiple drone flights over different plots in Paracou French Guiana. All products are the following projection EPSG:2972 RGFG95 and UTM  (Universal Transverse Mercator) zone 22N. Different scanning scenarios should allow for sensitivity analyses with respect to:\r\n\r\n(i) scanning altitude (above the LiDAR (Light Detection and Ranging) derived DTM, either in terrain follow mode (AGL) or at constant altitude (AMSL)\r\n(ii) scanning pattern main orientation\r\n\r\nOver Plot 6 (P6): two different scan altitudes are available (80m AGL and 145m AMSL ~ 125 AGL), as well as different flight pattern main directions (75°, 345°, 120°, 165°)\r\n\r\nOver Plots 4 and 5 (P4 & P5): altitude = 110m AMSL ~ 90m AGL, flight directions = 345°\r\n\r\nOver PCNES & Tower: altitude = 105m AMSL ~ 80m AGL and 80m AGL, flight directions = 0° and 90° \r\n\r\nOver P8: altitude = 105m AMSL ~ 80m AGL, flight directions = 75° and 345° \r\n\r\nInformation on the individual drone flights and directory location can be found below in the following format: \r\n\r\nCountry\\Zone\\Pilot\\Scanner\\Date\\Flight\\Flight (delivery)\\Freq mirror rot (Hz)\\Interline(m)\\Direction (°)\\Speed(m/s)\\Alt(m)   \r\ndirectory location- XX/XX\r\n\r\n\r\nFrench Guiana\\Paracou \\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-124006\\V1\\20\\20\\345\\5t80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V1\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\tYS-20191018-131043\\V2\\20\\20\\345\\5\\80 AGL  \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V2\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-183057\\V3\\20\\20\\120\\t5\\80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V3\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-185416\\V4\\20\\20\\120\\5\\80 AGL  \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V4\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\19/10/2019\\YS-20191019-190345\\V5\\20\\20\\75\\5\\80 AGL  \r\ndirectory location - CIRAD_Plot_P6_80mAGL/ V5\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-200932\\V1\\20\\20\\165\\5\\145 amsl  \r\ndirectory location - CIRAD_Plot_P6_145_amsl/V1\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\19/10/2019\\YS-20191019-115917\\V2\\20\\20\\75\\5\\145 amsl  \r\ndirectory location - CIRAD_Plot_P6_145_amsl/V2\r\n\r\nFrench Guiana\\Paracou\\P4&5\\NB\\VX20021\\19/10/2019\\YS-20191019-172347\\20\\50\\345\\5\\100 amsl  \r\ndirectory location - CIRAD_Plot_4_5/\r\n\r\nFrench Guiana\\Paracou\\Tower\\NB\\VX20021\\19/10/2019\\YS-20191019-162557\\V1\\20\\50\\0\\5\\80 AGL  \r\ndirectory location - IRD_CNES_Plot1_and_Flux_Tower_area/V1\r\n\r\nFrench Guiana\\Paracou\\Tower\\NB\\VX20021\\19/10/2019\\YS-20191019-181021\\V2\\20\\50\\90\\5\\105 amsl  \r\ndirectory location - IRD_CNES_Plot1_and_Flux_Tower_area/V2\r\n\r\nFrench Guiana\\Paracou\\P8\\NB\\VX20021\\20/10/2019\\YS-20191020-113907\\20\\50\\75&345\\5\\105 amsl  \r\ndirectory location - CIRAD_Plot_P8\r\n\r\nThe data was gathered to support the systematic collection and understanding of reference data for biomass product validation. The CEOS Good Practices Guideline can be found in the documentation section."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40630,
            "uuid": "21ea63ddf2a34d5498101ec6a4f33d76",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/qa4ecv/data/dhr_fapar/L3/",
            "numberOfFiles": 1199,
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                "ob_id": 40629,
                "uuid": "c1091e99ca2d41fc846ec9bd71b4d09b",
                "short_code": "ob",
                "title": "QA4ECV DHR-FAPAR level 3 (1982-2006)",
                "abstract": "Directional Hemispherical Reflectance (DHR) - Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) products derived from daily spectral measurements acquired by Advanced Very High Resolution Radiometer (AVHRR) onboard a series of National Oceanic and Atmospheric Administration (NOAA) platforms. This work is done in the framework of the Quality Assurance For Essential Climate Variable (QA4ECV) project.  The input data are the surface reflectance provided by the Land Long Term Data Record (LTDR) project.\r\n\r\nThese data are provided as time composite products of 10 days and monthly time periods at 0.05 degree resolution."
            },
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        {
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            "dataPath": "/neodc/qa4ecv/data/dhr_fapar/L4/",
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            "observation": {
                "ob_id": 40631,
                "uuid": "ade1bcb995ab490daf87fa50c535f6b9",
                "short_code": "ob",
                "title": "QA4ECV FAPAR level 4 (1982-2006)",
                "abstract": "The Quality Assurance for Essential Climate Variables (QA4ECV) project produced... More info needed"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40638,
            "uuid": "efae80e562a94880897184b12861642c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/POL090139/POLCOMS_WAM_32UV",
            "numberOfFiles": 134,
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            "fileFormat": "Climate and Forecast compliant NetCDFs",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40639,
                "uuid": "f78cc9301a2149b5a9f07e0904b60634",
                "short_code": "ob",
                "title": "POLCOMS-WAM model run in the Irish Sea generating eastward and northward currents at 32 depth layers for the CoFEE project for 11 years from 1996.",
                "abstract": "This dataset consists of eastward and northward current components at 32 depth levels. The dataset is a gridded dataset, with grid resolution of 1.85 km. It covers the entire Irish Sea area, with a precise range from -2.7 degrees longitude to -7 degrees longitude and from 51 degrees latitude to 56 degrees latitude. The data are daily averages and cover the period from 01 January 1996 to 01 January 2007. The eastward and northward current components were used as input conditions into a coastal processes and sediment transport model which looked at the response of the north Liverpool coastline to extreme flooding events. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System coupled with the Wave Modelling model (POLCOMS-WAM) as part of the Natural Environment Research Council (NERC) CoFEE project which ran from April 2007 to September 2010. The dataset consists of 132 data files in Climate and Forecast (CF) compliant NetCDF format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40643,
            "uuid": "5b1812d8d0ad408fbab2a80ce9bc99f9",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/VolMIP/NERC/UKESM1-0-LL/volc-pinatubo-full",
            "numberOfFiles": 5566,
            "volume": 501762810483,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40642,
                "uuid": "c276009e063e45b2ba40bbd3f9e39128",
                "short_code": "ob",
                "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"volc-pinatubo-full\" 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 \"Pinatubo experiment\" (volc-pinatubo-full) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r24i1p1f2, r25i1p1f2, r26i1p1f2, r27i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\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": 40645,
            "uuid": "6bc54e2e860a4a83bbf1dc32bbef4a0f",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/bodc/POL090139/POLCOMS_WAM_UV",
            "numberOfFiles": 265,
            "volume": 120518698380,
            "fileFormat": "Climate and Forecast compliant NetCDFs",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40647,
                "uuid": "1b89e025eedd49e8976ee0721ec6e9b5",
                "short_code": "ob",
                "title": "POLCOMS-WAM model run in the Irish Sea generating depth-mean eastward and northward currents for the CoFEE project for 11 years from 1996.",
                "abstract": "This dataset consists of depth-averaged eastward and northward current components. Also present is the sea surface height above sea level. The dataset is a gridded dataset, with grid resolution of 1.85 km. It covers the entire Irish Sea area, with a precise range from -2.7 degrees longitude to -7 degrees longitude and from 51 degrees latitude to 56 degrees latitude. The data are 30 minute averages and cover the period from 01 January 1996 to 01 January 2007. The depth-averaged eastward and northward current components and sea surface height were used as input conditions into a coastal processes and sediment transport model which looked at the response of the north Liverpool coastline to extreme flooding events. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System coupled with the Wave Modelling model (POLCOMS-WAM) as part of the Natural Environment Research Council (NERC) CoFEE project which ran from April 2007 to September 2010. The dataset consists of 264 data files in Climate and Forecast (CF) compliant NetCDF format."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40646,
            "uuid": "43a95a4e6414463b96b599edfc888f5c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/POL100124/POLCOMS_WAM_WAVE",
            "numberOfFiles": 134,
            "volume": 80344939094,
            "fileFormat": "Climate and Forecast compliant NetCDFs",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 40648,
                "uuid": "25188240530746c2b06c87f78adb98f3",
                "short_code": "ob",
                "title": "POLCOMS-WAM model run in the Irish Sea generating surface wave data for the CoFEE project for 11 years from 1996.",
                "abstract": "This dataset consists of significant wave height, peak wave period, second moment wave period and nautical wave direction. The dataset is a gridded dataset, with grid resolution of 1.85 km. It covers the entire Irish Sea area, with a precise range -2.7 degrees longitude to -7 degrees longitude and from 51 degrees latitude to 56 degrees latitude. The data are hourly averages and cover the period from 01 January 1996 to 01 January 2007. The wave parameters generated by POLCOMS-WAM were used as input conditions into a coastal processes and sediment transport model which looked at the response of the north Liverpool coastline to extreme flooding events. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System coupled with the Wave Modelling model (POLCOMS-WAM) as part of the Natural Environment Research Council (NERC) CoFEE project which ran from April 2007 to September 2010. The dataset consists of 132 data files in Climate and Forecast (CF) compliant NetCDF format."
            },
            "onlineresource_set": []
        },
        {
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            "uuid": "4aa5ff55bd224316b3b2315e80730f70",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/bodc/SMI230145/BioCam_images_DY108-109/",
            "numberOfFiles": 20661,
            "volume": 227326601346,
            "fileFormat": "PNG",
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            "observation": {
                "ob_id": 40671,
                "uuid": "8801a4055e614e8d93e0418f6218eedf",
                "short_code": "ob",
                "title": "Colour corrected seafloor BioCam images collected from the Darwin Mounds Marine Protected Area during RRS Discovery cruise DY108/109 (2019).",
                "abstract": "The dataset consists of georeferenced colour corrected images collected from the Darwin Mounds Marine Protected Area (MPA) during RRS Discovery cruise DY108/109 in 2019. Images were acquired using the BioCam seafloor imaging device of the University of Southampton mounted on the Autosub6000 Autonomous Underwater Vehicle (AUV) of the National Oceanography Centre. Two strobes, one mounted at the front and one at the back of the AUV, illuminated the seafloor when the colour camera of BioCam, mounted at the centre of the AUV, acquired those images once every 3 s. Images were stored in raw format along with timestamped navigation data (DVL, USBL, GPS). Data from different navigation sensors were fused with the images in post-processing using an extended Kalman smoother (EKS) implemented in oplab-pipeline (https://doi.org/10.5281/zenodo.6623369) The images were then colour corrected using an algorithm implemented in oplab-pipeline. The imaging survey was undertaken to demonstrate the BioCam technology developed by University of Southampton scientists under the NERC OCEANIDS programme's BioCam project (NE/P020887/1) to generate wide area 3D visual reconstructions of seafloor features."
            },
            "onlineresource_set": []
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        {
            "ob_id": 40681,
            "uuid": "82ea727d9767422c95ea8307b37c527d",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ukmo-midas-open/data/uk-radiation-obs/dataset-version-202308/",
            "numberOfFiles": 5562,
            "volume": 3017656255,
            "fileFormat": "Data are BADC-CSV formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40654,
                "uuid": "87eb67c08f5c4518a3723d0ca2d9b4b1",
                "short_code": "ob",
                "title": "MIDAS Open: UK hourly solar radiation data, v202308",
                "abstract": "The UK hourly solar radiation data contain the amount of solar irradiance received during the hour ending at the specified time. All sites report 'global' radiation amounts. This is also known as 'total sky radiation' as it includes both direct solar irradiance and 'diffuse' irradiance as a result of light scattering. Some sites also provide separate diffuse and direct irradiation amounts, depending on the instrumentation at the site. For these the sun's path is tracked with two pyrometers - one where the path to the sun is blocked by a suitable disc to allow the scattered sunlight to be measured to give the diffuse measurement, while the other has a tube pointing at the sun to measure direct solar irradiance whilst blanking out scattered sun light. \r\n\r\nFor details about the different measurements made and the limited number of sites making them please see the MIDAS Solar Irradiance table linked to in the online resources section of this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2022.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, MODLERAD, ESAWRADT and DRADR35 messages. The data spans from 1947 to 2022.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 40682,
            "uuid": "1faeb2d62b4a4cae8b4238937d8ca70a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ukmo-midas-open/data/uk-soil-temperature-obs/dataset-version-202308/",
            "numberOfFiles": 23747,
            "volume": 4170766533,
            "fileFormat": "Data are BADC-CSV formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 40653,
                "uuid": "85596b72ff024837a64bf22a8d1a72be",
                "short_code": "ob",
                "title": "MIDAS Open: UK soil temperature data, v202308",
                "abstract": "The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2022.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2022.\r\n\r\nAt many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.\r\n\r\nLiquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record."
            },
            "onlineresource_set": []
        }
    ]
}