Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=10500
{ "count": 11555, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=10600", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=10400", "results": [ { "ob_id": 41044, "uuid": "6cac313254cf4e1a8129e1db4f855ac0", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/lauder03/ggg2020", "numberOfFiles": 6, "volume": 471197288, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 40996, "uuid": "365d18c631084275a6421c3d972e51a3", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Lauder (NZ), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Lauder, New Zealand, 125HR." }, "onlineresource_set": [] }, { "ob_id": 41045, "uuid": "a06e65a39ee140bcb2f50d409da05a4a", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/lamont01/ggg2020", "numberOfFiles": 7, "volume": 1375676107, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 40999, "uuid": "eb18d741bc7b4f4190499952bdb8c183", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Lamont (US), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Lamont, Oklahoma, USA." }, "onlineresource_set": [] }, { "ob_id": 41046, "uuid": "d845a5aa4eb74c1fadff6586b56b5ecd", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/manaus01/ggg2020", "numberOfFiles": 4, "volume": 5244461, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41000, "uuid": "4e2a4e4b762446c38b3fc2e2fd756d15", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Manaus (BR), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Manaus, Brazil." }, "onlineresource_set": [] }, { "ob_id": 41047, "uuid": "c11247b6566b4b6195c4362f7b2b8f24", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/nicosia01/ggg2020", "numberOfFiles": 7, "volume": 160584045, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41001, "uuid": "6d0a40cf2bd94344abc982b1af921273", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Nicosia (CY), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Nicosia (CY), The Cyprus Institute." }, "onlineresource_set": [] }, { "ob_id": 41048, "uuid": "9da90ba65b13457f888d2c0b1283a43d", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/nyalesund01/ggg2020", "numberOfFiles": 6, "volume": 277622507, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41002, "uuid": "360faeff764a47e6a8497852d4a7d3d3", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Ny-Ålesund, Svalbard (NO), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Ny-Ålesund, Svalbard, Norway." }, "onlineresource_set": [] }, { "ob_id": 41049, "uuid": "5ab581c9160248e6b7f3606c9ad4dcb2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/orleans01/ggg2020", "numberOfFiles": 7, "volume": 412332144, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41003, "uuid": "83c4d528c53946fbbd0fa1b609f5105b", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Orléans (FR), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Orleans, France." }, "onlineresource_set": [] }, { "ob_id": 41050, "uuid": "60986564e36444e5aa51e3057a6ffbf1", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/paris01/ggg2020", "numberOfFiles": 7, "volume": 299227186, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41004, "uuid": "ec7de25d1f684c09b94cdbe824ddc700", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Paris (FR), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at LERMA, Sorbonne Université, Campus Pierre et Marie Curie, 4 Place Jussieu, Paris 05, France." }, "onlineresource_set": [] }, { "ob_id": 41051, "uuid": "f364daf2c0d049ec9c02d5b172e25b7b", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/parkfalls01/ggg2020", "numberOfFiles": 7, "volume": 1153691772, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41005, "uuid": "e3dcd4b7f6f94e38ab355fb502dafc9b", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Park Falls (US), Release GGG2020.R1", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Park Falls, Wisconsin, USA." }, "onlineresource_set": [] }, { "ob_id": 41052, "uuid": "be68cf00630d491b9b99e9902a84af90", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/reunion01/ggg2020", "numberOfFiles": 4, "volume": 78845946, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41006, "uuid": "f06fa21481b64a8396141d718b2feb5a", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Réunion Island (RE), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Reunion Island (Ile de La Reunion), France." }, "onlineresource_set": [] }, { "ob_id": 41053, "uuid": "58d26832e4ba4738a540fd4ecd2130e2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/rikubetsu01/ggg2020", "numberOfFiles": 6, "volume": 118844830, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41007, "uuid": "47f7fe05848c465d82be8c260a6a2b25", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Rikubetsu (JP), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Rikubetsu, Hokkaido, Japan." }, "onlineresource_set": [] }, { "ob_id": 41054, "uuid": "f551f6d269f94957aae8fa29f81db09c", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/saga01/ggg2020", "numberOfFiles": 4, "volume": 113027426, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41008, "uuid": "1eccee388b6148abb7a048a9dcbabe3d", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Saga (JP), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Saga, Japan" }, "onlineresource_set": [] }, { "ob_id": 41055, "uuid": "56e941330af843b3bad181fe70cd8bae", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/sodankyla01/ggg2020", "numberOfFiles": 4, "volume": 137527183, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41009, "uuid": "bcacc4899f4d4da4ab35e3daed252e07", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Sodankylä (FI), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Sodankylä, Finland" }, "onlineresource_set": [] }, { "ob_id": 41056, "uuid": "15306ba54b1b49d2ae0fe49133e9faf4", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/tsukuba02/ggg2020", "numberOfFiles": 4, "volume": 66465284, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41010, "uuid": "2d7165d3bf8e492188687d5199dcb1df", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Tsukuba (JP), 125HR, Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Tsukuba, Ibaraki, Japan, 125HR." }, "onlineresource_set": [] }, { "ob_id": 41057, "uuid": "d256b65ff4144e4f88ec01363cda81d9", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/wollongong01/ggg2020", "numberOfFiles": 6, "volume": 413557931, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41011, "uuid": "0e591cb194c04b63a60c18518ee9193d", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON):TCCON data from Wollongong (AU), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Wollongong, Australia." }, "onlineresource_set": [] }, { "ob_id": 41058, "uuid": "cb3410e956f640b8be3e24cb479572de", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/tccon/tccon_mirror/data/xianghe01/ggg2020", "numberOfFiles": 6, "volume": 177400834, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41012, "uuid": "d775aa73371c4f1f8f59aded37f1a15c", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Xianghe, China, Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Xianghe, China." }, "onlineresource_set": [] }, { "ob_id": 41071, "uuid": "359b5a63e6674c45968b506bc072db0f", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/USO230175/", "numberOfFiles": 0, "volume": 0, "fileFormat": null, "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41072, "uuid": "05d65cb906084078bc913d1c8d688f69", "short_code": "ob", "title": "Greater Haig Fras autonomous underwater vehicle seafloor survey - mosaicked image tiles used to assess benthic assemblages and seabed types (2012).", "abstract": "Seafloor visual images were acquired during a survey within the Greater Haig Fras Marine Conservation Zone (MCZ), central Celtic Sea, in 2012. This was the first in a series of similar surveys to be conducted in this location. A camera system mounted on the autonomous underwater vehicle (AUV) Autosub6000 was deployed during RRS Discovery cruise 377/8 (D377/8), and images were collected from four 4.7 km transect lines. Images were mosaicked in \"tiles\" consisting of five consecutive images (each tile representing approximately 7.3 m2 of seabed). Images were orthorectified and scaled to a common altitude per tile. The mosaicked tiles are provided in this collection. The aim of the survey was to undertake high-resolution acoustic seabed mapping and visual imagery in a Marine Protected Area, in order to highlight the capability of AUV technology for offshore seabed mapping and benthic assemblage assessment. The work was initially undertaken as part of a Defra-funded project \"Investigating the feasibility of utilizing AUV and Glider technology for mapping and monitoring of the UK MPA network (MB0118)\", Case study 2: Shallow-water AUV mapping off SW UK (https://nora.nerc.ac.uk/id/eprint/500733/) and the Natural Environment Research Council (NERC) funded Autonomous Ecological Surveying of the Abyss project (NE/H021787/1), involving scientists from the National Oceanography Centre (NOC), UK." }, "onlineresource_set": [] }, { "ob_id": 41078, "uuid": "6beca109afa2494bb9ebb28546c1d712", "short_code": "result", "curationCategory": "", "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/CCCma/CanESM5/control", "numberOfFiles": 7681, "volume": 272316445977, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41076, "uuid": "2bc7e812f8c8468390a1261065ab7b53", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the CanESM5 model at CCCma", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at CCCma (Canadian Centre for Climate Modelling and Analysis). This dataset contains all ensemble members produced by the CCCma CanESM5 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 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- CanESM5 model reference publications: Swart et al. (2019); Sospedra-Alfonso et al. (2021)" }, "onlineresource_set": [] }, { "ob_id": 41080, "uuid": "434538bde1be4648852659ed38f36107", "short_code": "result", "curationCategory": "", "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/CCCma/CanESM5/nudged", "numberOfFiles": 7321, "volume": 260513916507, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41079, "uuid": "e895a56d229f4045928155afa1d6afe5", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the CanESM5 model at CCCma", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by scientists at CCCma (Canadian Centre for Climate Modelling and Analysis). This dataset contains all ensemble members produced by the CCCma CanESM5 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- CanESM5 model reference publications: Swart et al. (2019); Sospedra-Alfonso et al. (2021)" }, "onlineresource_set": [] }, { "ob_id": 41082, "uuid": "f321050772b4487ebd4f8f3aedae340a", "short_code": "result", "curationCategory": "", "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/CCCma/CanESM5/free", "numberOfFiles": 7363, "volume": 274534086232, "fileFormat": "Files are Net-CDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41081, "uuid": "14e1d782a0f349bdb0db9f0e06c32d25", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the CanESM5 model at CCCma", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at CCCma (Canadian Centre for Climate Modelling and Analysis). This dataset contains all ensemble members produced by the CCCma CanESM5 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- CanESM5 model reference publications: Swart et al. (2019); Sospedra-Alfonso et al. (2021)" }, "onlineresource_set": [] }, { "ob_id": 41084, "uuid": "dc04693400204c819566176589ec3948", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/icecaps-ace/data/snow-temperature-profile", "numberOfFiles": 42, "volume": 146829732, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41085, "uuid": "6db2c027914d4f23bd42409e7aaad3b1", "short_code": "ob", "title": "ICECAPS-ACE: snow-air transition temperatures taken at Summit Station Greenland", "abstract": "This dataset contains point measurement of snow-air transition temperatures at 2 cm intervals on a 5 m thermistor chain installed spanning the snow-air transition at Summit Station, Greenland. Measurements were made using a Snow Ice Mass Balance Apparatus (SIMBA) with a bespoke 5 m chain.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." }, "onlineresource_set": [] }, { "ob_id": 41088, "uuid": "fda7cd564cc54039a4050a2f465e8856", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c350-aug-03", "numberOfFiles": 27, "volume": 2180024284, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41089, "uuid": "063f98575b3b414bb6104053f34f51f0", "short_code": "ob", "title": "FAAM C350 WESCON flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft Project project." }, "onlineresource_set": [] }, { "ob_id": 41093, "uuid": "c0e3a3f05d414a9793e0274f9a639acf", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c353-aug-22", "numberOfFiles": 42, "volume": 7744361143, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41094, "uuid": "75e787d0e6c54c65b85a03b3ec38e41a", "short_code": "ob", "title": "FAAM C353 MEWS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for MEWS FAAM Aircraft Project project." }, "onlineresource_set": [] }, { "ob_id": 41098, "uuid": "b5d85ad695a04577aa8ace9cf8c48a22", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c355-aug-25", "numberOfFiles": 48, "volume": 7768360286, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41099, "uuid": "4aa5d4d0a22443f4bc16b5ea7956dd33", "short_code": "ob", "title": "FAAM C355 WESCON flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft Project project." }, "onlineresource_set": [] }, { "ob_id": 41102, "uuid": "4bd6c92d687b40b4bf429c4a0cc501d7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c356-sep-07", "numberOfFiles": 31, "volume": 3994324063, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41103, "uuid": "29d6545f1a574e9e8b752d01a69f9362", "short_code": "ob", "title": "FAAM C356 Instrument Test flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects project." }, "onlineresource_set": [] }, { "ob_id": 41108, "uuid": "23217f886432413d8c5d559a502d5a39", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c357-sep-22", "numberOfFiles": 32, "volume": 4041042172, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41109, "uuid": "0cc599e3f04642e8ad33f13b22ec001b", "short_code": "ob", "title": "FAAM C357 Instrument Test flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects (Instrument) project." }, "onlineresource_set": [] }, { "ob_id": 41114, "uuid": "c5ab975717a5418da08f5f25ffec29d1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c358-oct-02", "numberOfFiles": 21, "volume": 1773370786, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41115, "uuid": "f9cadc17e4244622aedc6abba2de0e9f", "short_code": "ob", "title": "FAAM C358 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, "onlineresource_set": [] }, { "ob_id": 41131, "uuid": "8947bf979f8d4d63b4cd925a66224063", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c359-oct-03", "numberOfFiles": 39, "volume": 5350918538, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41132, "uuid": "175d4c6a385444babffe86b516b5e13c", "short_code": "ob", "title": "FAAM C359 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, "onlineresource_set": [] }, { "ob_id": 41139, "uuid": "0d0ff0cd97e44ced98de7a8c0274f0b1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c360-oct-03", "numberOfFiles": 35, "volume": 4923274096, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41140, "uuid": "97bb119857a644f8ac0a52acf3c89011", "short_code": "ob", "title": "FAAM C360 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, "onlineresource_set": [] }, { "ob_id": 41147, "uuid": "0ffc1e567cc1461e9cf7274a402c19c6", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c361-oct-04", "numberOfFiles": 39, "volume": 6259005407, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41148, "uuid": "da4c8ed38cd44b76b5d3d365557ae129", "short_code": "ob", "title": "FAAM C361 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, "onlineresource_set": [] }, { "ob_id": 41155, "uuid": "a1ba1e5976a84174ac4b0f468a9e0cd8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c362-oct-05", "numberOfFiles": 44, "volume": 8160166499, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41156, "uuid": "04bc98e73156480ea5d892fccb1b6881", "short_code": "ob", "title": "FAAM C362 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, "onlineresource_set": [] }, { "ob_id": 41161, "uuid": "7a314b1f7c29405d823d716c41f8c8bf", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c363-oct-06", "numberOfFiles": 39, "volume": 5423641620, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41162, "uuid": "fa4284a5070547c297a0ac17e5e7af05", "short_code": "ob", "title": "FAAM C363 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, "onlineresource_set": [] }, { "ob_id": 41167, "uuid": "1d929efe606a440e885e53501d9666e9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c354-aug-22", "numberOfFiles": 36, "volume": 14791501616, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41168, "uuid": "ecd425fbfbfe4647b678a54d99abf1f0", "short_code": "ob", "title": "FAAM C354 MEWS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for MEWS FAAM Aircraft Project project." }, "onlineresource_set": [] }, { "ob_id": 41171, "uuid": "e3ab50cba49d4a4db0185d109307d8bb", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2023/c352-aug-21", "numberOfFiles": 45, "volume": 7140364219, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41172, "uuid": "b817864fd0fa42779fff3dd693ddac0a", "short_code": "ob", "title": "FAAM C352 WESCON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft Project project." }, "onlineresource_set": [] }, { "ob_id": 41175, "uuid": "89ddc84c77454ca082cce52bb212fc8b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/icecaps-ace/data/present-weather/", "numberOfFiles": 39, "volume": 95275937, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41176, "uuid": "254dc2c0601e48e39e4fe46fc95822bc", "short_code": "ob", "title": "ICECAPS-ACE: present weather taken at Summit Station Greenland", "abstract": "This dataset contains horizontal optical range and present weather codes at Summit Station, Greenland. Measurements were made using Biral SWS-100 visibility and present weather sensor.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT.\r\n\r\nFor these observations hood and window heaters were on continuously and the sensor receiver head was oriented due North." }, "onlineresource_set": [] }, { "ob_id": 41181, "uuid": "52a910f9dd1b4b15a0068c2a411f9c2c", "short_code": "result", "curationCategory": "", "dataPath": "/badc/uk-decc-network/data/v23.08", "numberOfFiles": 132, "volume": 726009099, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41180, "uuid": "bc5b7568ef2a467fa97642910eb45aa7", "short_code": "ob", "title": "Atmospheric trace gas observations from the UK Deriving Emissions linked to Climate Change (DECC) Network and associated data - Version 23.08", "abstract": "This version 23.08 dataset consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN: 54\r\n88/11/2021) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. The core DECC network\r\n consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases. The four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet 10 metres above ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. Data from the UK DECC network are used to\r\n assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks." }, "onlineresource_set": [] }, { "ob_id": 41195, "uuid": "b70baa54fcae46a6832020522544761e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/DAMIP/MOHC/HadGEM3-GC31-LL/hist-totalO3", "numberOfFiles": 9301, "volume": 8473374928357, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41194, "uuid": "a45e0dad6eb1438cac07b38b13b7dcc0", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"hist-totalO3\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical total ozone-only run\" (hist-totalO3) experiment. These are available at the following frequencies: Amon, Emon, EmonZ, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r11i1p1f3, r12i1p1f3, r13i1p1f3, r14i1p1f3, r15i1p1f3, r16i1p1f3, r17i1p1f3, r18i1p1f3, r19i1p1f3, r20i1p1f3, r21i1p1f3, r22i1p1f3, r23i1p1f3, r24i1p1f3, r25i1p1f3, r26i1p1f3, r27i1p1f3, r28i1p1f3, r29i1p1f3 and r30i1p1f3.\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": 41198, "uuid": "43b86427eb6c4bd38b6ec5717dc6bec0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/DAMIP/MOHC/HadGEM3-GC31-LL/hist-volc", "numberOfFiles": 9301, "volume": 8473358209314, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41197, "uuid": "250226f551d14f0586456b37620f21d0", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"hist-volc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical volcanic-only run\" (hist-volc) experiment. These are available at the following frequencies: Amon, Emon, EmonZ, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r11i1p1f3, r12i1p1f3, r13i1p1f3, r14i1p1f3, r15i1p1f3, r16i1p1f3, r17i1p1f3, r18i1p1f3, r19i1p1f3 and r20i1p1f3.\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": 41223, "uuid": "31fe1bc3dee34b70927215311bda2579", "short_code": "result", "curationCategory": "", "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/NRL/NAVGEM/control", "numberOfFiles": 12481, "volume": 3185389487932, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41222, "uuid": "d77400c037da4416b44ec3f86695d32c", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the NAVGEM model at NRL", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at NRL (Naval Research Laboratory, Washington DC, USA). This dataset contains all ensemble members produced by the NRL NAVGEM 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 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- NAVGEM model reference publications: Hogan et al. (2014); McCormack et al. (2017); Eckermann et al. (2018)" }, "onlineresource_set": [] }, { "ob_id": 41226, "uuid": "eac76a17149b4c53a972228d9425aaa7", "short_code": "result", "curationCategory": "", "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/NRL/NAVGEM/free", "numberOfFiles": 12481, "volume": 3179247313795, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41225, "uuid": "05d63906a1ce48dab130f128b404679c", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the NAVGEM model at NRL", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at NRL (Naval Research Laboratory, Washington DC, USA). This dataset contains all ensemble members produced by the NRL NAVGEM 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- NAVGEM model reference publications: Hogan et al. (2014); McCormack et al. (2017); Eckermann et al. (2018)" }, "onlineresource_set": [] }, { "ob_id": 41228, "uuid": "0a0c9590bbcb46f58e352c3edb4382c5", "short_code": "result", "curationCategory": "", "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/NRL/NAVGEM/nudged", "numberOfFiles": 12481, "volume": 3183078808573, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41227, "uuid": "b3353ace59bc4ca7b94f38f4b0510448", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the NAVGEM model at NRL", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by scientists at NRL (Naval Research Laboratory, Washington DC, USA). This dataset contains all ensemble members produced by the NRL NAVGEM 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- NAVGEM model reference publications: Hogan et al. (2014); McCormack et al. (2017); Eckermann et al. (2018)" }, "onlineresource_set": [] }, { "ob_id": 41243, "uuid": "7c6ffeb0288e4ac59f825efd76149f3b", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/SOC230154/", "numberOfFiles": 0, "volume": 0, "fileFormat": "NetCDF, text", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41244, "uuid": "e4ce3e28afc843a998ca594eb233e731", "short_code": "ob", "title": "Model output containing ocean and sea ice variables from GOSI9 eORCA1 (1976-2005).", "abstract": "This dataset contains monthly and annual means of ocean and sea ice variables from a 30 year (1976-2005) integration of the GOSI9 model configuration at 1° horizontal resolution. The ocean output fields on T, U, V, and W grids are provided in separate files. The ocean component is on a 1° grid (eORCA1) with 75 vertical levels. The sea ice data is on the ocean T grid with 5 thickness categories. GOSI9 is the latest version of the global ocean-sea ice configuration developed under the Joint Marine Modelling Programme (JMMP). The temperature and salinity fields were initialised from EN4 climatology (Good et al., 2013) and forced by the CORE2 surface dataset (Large & Yeager, 2009). All initialisation and ancillary data are also included. The data were generated under the Climate Linked Atlantic Sector Science (CLASS) project funded by the Natural Environment Research Council (NERC)." }, "onlineresource_set": [] }, { "ob_id": 41245, "uuid": "2fff95a51ab34b3f8196a4e06dfef148", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/SOC230181/", "numberOfFiles": 1943, "volume": 8803708445395, "fileFormat": "NetCDF, text", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41246, "uuid": "7ceefbec550244c5852c247e51a52d89", "short_code": "ob", "title": "Model output containing ocean and sea ice variables from GOSI9 eORCA12 (1976-2005).", "abstract": "This dataset contains monthly and annual means of ocean and sea ice variables from a 30 year (1976-2005) integration of the GOSI9 model configuration at 1/12° horizontal resolution. The ocean output fields on T, U, V, and W grids are provided in separate files. The ocean component is on a 1/12° grid (eORCA12) with 75 vertical levels. The sea ice data is on the ocean T grid with 5 thickness categories. GOSI9 is the latest version of the global ocean-sea ice configuration developed under the Joint Marine Modelling Programme (JMMP). The temperature and salinity fields were initialised from EN4 climatology (Good et al., 2013) and forced by the CORE2 surface dataset (Large & Yeager, 2009). All initialisation and ancillary data are also included. The data were generated under the Climate Linked Atlantic Sector Science (CLASS) project funded by the Natural Environment Research Council (NERC)." }, "onlineresource_set": [] }, { "ob_id": 41247, "uuid": "43e5a54970884698b0527dfc67d58218", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/SOC230182/", "numberOfFiles": 2664, "volume": 4001118893075, "fileFormat": "NetCDF, text", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41248, "uuid": "a9f48ce8418748119c6886a07b8e232f", "short_code": "ob", "title": "Model output containing ocean and sea ice variables from GOSI9 eORCA025 (1976-2005)", "abstract": "This dataset contains monthly and annual means of ocean and sea ice variables from a 30 year (1976-2005) integration of the GOSI9 model configuration at 1/4° horizontal resolution. The ocean output fields on T, U, V, and W grids are provided in separate files. The ocean component is on a 1/4° grid (eORCA025) with 75 vertical levels. The sea ice data is on the ocean T grid with 5 thickness categories. GOSI9 is the latest version of the global ocean-sea ice configuration developed under the Joint Marine Modelling Programme (JMMP). The temperature and salinity fields were initialised from EN4 climatology (Good et al., 2013) and forced by the CORE2 surface dataset (Large & Yeager, 2009). All initialisation and ancillary data are also included. The data were generated under the Climate Linked Atlantic Sector Science (CLASS) project funded by the Natural Environment Research Council (NERC)." }, "onlineresource_set": [] }, { "ob_id": 41257, "uuid": "c276eefd4ca04d408038245444931df0", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/obs4MIPs/ImperialCollege/GERB-HR-ED01-1-1/1hrCM/rlut/gn/v20231221/", "numberOfFiles": 7, "volume": 448034804, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41239, "uuid": "90148d9b1f1c40f1ac40152957e25467", "short_code": "ob", "title": "Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing longwave radiation from the GERB instrument (GERB-HR-ED01-1-1 rlut 1hrCM), v20231221", "abstract": "This dataset contains top of atmosphere (TOA) outgoing longwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until December 2012. In this dataset (labelled 'GERB-HR-ED01-1-1 rlut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for eight months of each year (January, February, May, June, July, August, November and December), due to operational constraints of the GERB instrument.\r\n\r\nThis is version 1.1 of the product and contains significant improvements over the original version. These improvements include lower estimated uncertainties owing to missing data having been filled where possible and subsequently a greater availability of data within the period provided. Users are strongly encouraged to use this latest version of the products.\r\n\r\nIt has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data have been reprocessed and reformatted, utilising additional data sources where necessary, to create a product primarily intended for comparison with climate model output." }, "onlineresource_set": [] }, { "ob_id": 41258, "uuid": "77edcbeeb38a4352858d387aeecdde77", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/obs4MIPs/ImperialCollege/GERB-HR-ED01-1-1/1hrCM/rsut/gn/v20231221/", "numberOfFiles": 7, "volume": 448034829, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41238, "uuid": "57821b58804945deaf4cdde278563ec2", "short_code": "ob", "title": "Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing shortwave radiation from the GERB instrument (GERB-HR-ED01-1-1 rsut 1hrCM), v20231221", "abstract": "This dataset contains top of atmosphere (TOA) outgoing shortwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until December 2012. In this dataset (labelled 'GERB-HR-ED01-1-1 rsut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for eight months of each year (January, February, May, June, July, August, November and December), due to operational constraints of the GERB instrument. \r\n\r\nThis is version 1.1 of the product and contains significant improvements over the original version. These improvements include lower estimated uncertainties owing to missing data having been filled where possible and subsequently a greater availability of data within the period provided. Users are strongly encouraged to use this latest version of the products.\r\n\r\nIt has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data have been reprocessed and reformatted, utilising additional data sources where necessary, to create a product primarily intended for comparison with climate model output." }, "onlineresource_set": [] }, { "ob_id": 41260, "uuid": "a1f4bae5fd754e0d83263e957fbde322", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/DAMIP/MOHC/HadGEM3-GC31-LL/hist-sol", "numberOfFiles": 9301, "volume": 8473224236294, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41259, "uuid": "06b68e3877e943aabf7d917bcbedf750", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"hist-sol\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"historical solar-only run\" (hist-sol) experiment. These are available at the following frequencies: Amon, Emon, EmonZ, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r11i1p1f3, r12i1p1f3, r13i1p1f3, r14i1p1f3, r15i1p1f3, r16i1p1f3, r17i1p1f3, r18i1p1f3, r19i1p1f3, r20i1p1f3, r21i1p1f3, r22i1p1f3, r23i1p1f3, r24i1p1f3, r25i1p1f3, r26i1p1f3, r27i1p1f3, r28i1p1f3, r29i1p1f3, r30i1p1f3, r31i1p1f3, r32i1p1f3, r33i1p1f3, r34i1p1f3, r35i1p1f3, r36i1p1f3, r37i1p1f3, r38i1p1f3, r39i1p1f3, r40i1p1f3, r41i1p1f3, r42i1p1f3, r43i1p1f3, r44i1p1f3, r45i1p1f3, r46i1p1f3, r47i1p1f3, r48i1p1f3, r49i1p1f3, r50i1p1f3, r51i1p1f3, r52i1p1f3, r53i1p1f3, r54i1p1f3, r55i1p1f3, r56i1p1f3, r57i1p1f3, r58i1p1f3, r59i1p1f3 and r60i1p1f3.\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": 41263, "uuid": "18cd091a8dcd46a2b16fc256bbd8e379", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/ral_rsg/ral_ozone_uv/data/gome_ers-2/l2/v03.01", "numberOfFiles": 67904, "volume": 771704784596, "fileFormat": "The data are in netCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 40105, "uuid": "91d3ce592aae4215ba57c1f36e6d04c4", "short_code": "ob", "title": "GOME: Vertical Profiles of Ozone and other Trace Gases - Ozone Profiles Version 3.01", "abstract": "The Global Ozone Monitoring Experiment (GOME) was an instrument aboard the European Remote Sensing satellite 2 (ERS-2). The main scientific objective of the GOME mission is to measure the global distribution of ozone and several trace gases which play an important role in the ozone chemistry of the Earth's stratosphere and troposphere, for example, NO2, BrO, OClO, and SO2.\r\n\r\nThis dataset contains version 3.01 ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). These were derived from radiances measured by the GOME on-board ERS-2. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles." }, "onlineresource_set": [] }, { "ob_id": 41266, "uuid": "1d45961c4d8f42ab82f72c8f2d55f9da", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acsis/bae-146/merged-chemistry/", "numberOfFiles": 92, "volume": 55447241, "fileFormat": "NASA-Ames, ICT", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41268, "uuid": "6285564c34a246fc9ba5ce053d85e5e7", "short_code": "ob", "title": "ACSIS: Merged airborne chemistry data from instruments on board the FAAM aircraft", "abstract": "A collection of collated chemistry measurements made onboard the FAAM BAE-146 aircraft for The North Atlantic Climate System Integrated Study: ACSIS project. These data were collected by core and non-core instruments and compiled into a merged dataset. \r\n\r\nFlights included are from the measurement campaigns: ACSIS1 - February 2017, ACSIS2 - October 2017, ACSIS3 - May 2018, ACSIS4 - February 2019, ACSIS5 - August 2019, ACSIS6 - February 2020 and ACSIS7 - May 2022. Parameters include Carbon Dioxide (CO2), Methane (CH4), Nitric oxide (NO), Nitric dioxide (NO2), Total Organic Aerosol, Sulphate Aerosol, Nitrate Aerosol, Ammonium Aerosol, Chloride Aerosol, Urea (CH4N2O), Hydrogen cyanide (HCN), Nitryl chloride (ClNO2), and photolysis rates." }, "onlineresource_set": [] }, { "ob_id": 41272, "uuid": "45c5f8af45694814a7cc5cf6e8ea9335", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/UOX230196", "numberOfFiles": 227, "volume": 1859529575175, "fileFormat": "NetCDF and text", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41273, "uuid": "8c1bd495fc7c442ba0d62b8830f716cf", "short_code": "ob", "title": "Sensitivity experiments with a 1/12° regional configuration of MITgcm in the North Atlantic Ocean (repeated year forcing from JRA55-do, May 2003-May 2004) with forced surface winds extracting variability in subsynoptic and synoptic processes.", "abstract": "This dataset represents a high-resolution (1/12° in the horizontal) regional ocean simulation of the North Atlantic, designed to explore the impact of atmospheric winds magnitude and variability on subsynoptic (<2 days) and synoptic (2-10 days) timescales on the ocean circulation in the region. The MITgcm (Massachusetts Institute of Technology General Circulation Model) ocean general circulation model was used, forced by repeated year forcing conditions from JRA55-do, corresponding to 1 May 2003 to 1 May 2004, and lateral boundary conditions from Arctic STate Estimate (ASTE) dataset (Nguyen et al., 2021), all these experiments lasted for 15 years. In total, this dataset contains three sensitivity experiments: (1) WIND_LF_SYNOP - where the variability of surface forcing winds filtered out on periods shorter than 2 days; (2) WIND_LF - where the synoptic plus higher frequency variability of surface forcing winds were filtered out; and (3) WIND_LF_SCALED - experiment where the synoptic and higher frequency variability were filtered out; however, the magnitude of the wind speed was scaled so the total wind energy input was the same as in the control run forced by reanalysis winds. Full 3D U/V/T/S fields and 2D fields containing information about mixed layer depth, sea ice, sea surface height, heat and freshwater surface fluxes are provided every 5 days. The outputs were generated by the University of Oxford under the Natural Environment Research Council (NERC) project SNAP-DRAGON: Subpolar North Atlantic Processes - Dynamics and pRedictability of vAriability in Gyre and OverturNing (grant reference NE/T013494/1)." }, "onlineresource_set": [] }, { "ob_id": 41274, "uuid": "4474b787629340489ea2ee24a7da85ae", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/UOX230197", "numberOfFiles": 77, "volume": 619843193911, "fileFormat": "NetCDF and text", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41275, "uuid": "9536459d09fb446d8daee987a039616e", "short_code": "ob", "title": "Control run of a 1/12° regional simulation of MITgcm in the North Atlantic Ocean (repeated year forcing from JRA55-do, May 2003-May 2004).", "abstract": "This dataset represents a high-resolution (1/12° in the horizontal) regional ocean simulation of the North Atlantic, designed to serve as a control run for further sensitivity tests exploring how various changes in surface and lateral boundary conditions impact the ocean circulation in the region. The MITgcm (Massachusetts Institute of Technology General Circulation Model) ocean general circulation model was used, forced by repeated year forcing conditions from JRA55-do, corresponding to 1 May 2003 to 1 May 2004, and lateral boundary conditions from Arctic STate Estimate (ASTE) dataset (Nguyen et al., 2021). This dataset contains information from 15 years of experiments, and does not include 50 years of model spinup. Full 3D U/V/T/S fields and 2D fields containing information about mixed layer depth, sea ice, sea surface height, heat and freshwater surface fluxes are provided every 5 days. The outputs were generated by the University of Oxford under the Natural Environment Research Council (NERC) project SNAP-DRAGON: Subpolar North Atlantic Processes - Dynamics and pRedictability of vAriability in Gyre and OverturNing (grant reference NE/T013494/1)." }, "onlineresource_set": [] }, { "ob_id": 41276, "uuid": "433fc11676d543179681183155968ebd", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v04.0", "numberOfFiles": 26, "volume": 320328067, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41269, "uuid": "93444bc1c4364a59869e004bf9bfd94a", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v4.0", "abstract": "This dataset contains v4.0 permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%). \r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2021 based on MODIS \r\nLand Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2021 using a pixel-specific statistics for each day of the year." }, "onlineresource_set": [] }, { "ob_id": 41277, "uuid": "ba1b85a1d5a84bab847cc5a7a9ab31cf", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v04.0", "numberOfFiles": 26, "volume": 867946695, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41270, "uuid": "d34330ce3f604e368c06d76de1987ce5", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v4.0", "abstract": "This dataset contains v4.0 permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness. \r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2021 based on MODIS \r\nLand Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. \r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled \r\nERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for \r\nthe overlap period 2003-2021 using a pixel-specific statistics for each day of the year." }, "onlineresource_set": [] }, { "ob_id": 41278, "uuid": "f709ddce7f454ee1ba7c0660b0d8b87e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v04.0", "numberOfFiles": 26, "volume": 9135086362, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41271, "uuid": "20ec12f5d1f94e99aff2ed796264ee65", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v4.0", "abstract": "This dataset contains v4.0 permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m , 10m). \r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2021 based on MODIS \r\nLand Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. \r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled \r\nERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for \r\nthe overlap period 2003-2021 using a pixel-specific statistics for each day of the year." }, "onlineresource_set": [] }, { "ob_id": 41280, "uuid": "6302bf2f367944b1b603a87ecfebfb36", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/arcticcyclones/data/twinotter/flight363_20220729", "numberOfFiles": 3, "volume": 82673035, "fileFormat": "MASIN data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41279, "uuid": "54db67ea5a734ea3841c50ba7b72418e", "short_code": "ob", "title": "BAS-MASIN flight 363: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 363 on 29 July 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, "onlineresource_set": [] }, { "ob_id": 41284, "uuid": "25052961a2b34b13a3e8c6ae3218c35e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/arcticcyclones/data/twinotter/flight364_20220730", "numberOfFiles": 3, "volume": 76756355, "fileFormat": "MASIN data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41283, "uuid": "607d539451954bd0baf8d2a64c742503", "short_code": "ob", "title": "BAS-MASIN flight 364: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 364 on 30 July 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, "onlineresource_set": [] }, { "ob_id": 41288, "uuid": "38f9ca20f3d14bf0bcfc1f2d4dfc4d06", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/arcticcyclones/data/twinotter/flight366_20220802", "numberOfFiles": 3, "volume": 46386475, "fileFormat": "MASIN data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41287, "uuid": "6c31ce057f2142798440b9cda758891f", "short_code": "ob", "title": "BAS-MASIN flight 366: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 366 on 02 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, "onlineresource_set": [] }, { "ob_id": 41292, "uuid": "649036d7bcf042eba56f9bfe838ce9ce", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/arcticcyclones/data/twinotter/flight367_20220802", "numberOfFiles": 3, "volume": 68385315, "fileFormat": "MASIN data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41291, "uuid": "de5d4d7c8f204ae7ade10ebfc4cb850e", "short_code": "ob", "title": "BAS-MASIN flight 367: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 367 on 02 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. 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This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, "onlineresource_set": [] }, { "ob_id": 41316, "uuid": "bec647dc16dd4077b6797a1b06237967", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/arcticcyclones/data/twinotter/flight375_20220815", "numberOfFiles": 3, "volume": 51679395, "fileFormat": "MASIN data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41315, "uuid": "9440c60e2f834386b09e756a9fae2a53", "short_code": "ob", "title": "BAS-MASIN flight 375: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 375 on 15 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, "onlineresource_set": [] }, { "ob_id": 41320, "uuid": "afb24639dcce4fba82375e13b6b231a5", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/arcticcyclones/data/twinotter/flight376_20220816", "numberOfFiles": 3, "volume": 49776475, "fileFormat": "MASIN data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41319, "uuid": "7cd67744f53d4578a39b7486c7b26fb9", "short_code": "ob", "title": "BAS-MASIN flight 376: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 376 on 16 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. 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This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, "onlineresource_set": [] }, { "ob_id": 41332, "uuid": "cd1b85b386664f1fa288c362b8f971f0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/arcticcyclones/data/twinotter/flight379_20220819", "numberOfFiles": 3, "volume": 77023035, "fileFormat": "MASIN data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41331, "uuid": "137af8ea228449f895087bf7ca51469c", "short_code": "ob", "title": "BAS-MASIN flight 379: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 379 on 19 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, "onlineresource_set": [] }, { "ob_id": 41336, "uuid": "3368a5db87b249a4b753921c5cdc04ed", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/arcticcyclones/data/twinotter/flight380_20220820", "numberOfFiles": 3, "volume": 61284395, "fileFormat": "MASIN data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41335, "uuid": "3e1d17b3b97f4277aee6b79c91f7c9d6", "short_code": "ob", "title": "BAS-MASIN flight 380: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 380 on 20 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, "onlineresource_set": [] }, { "ob_id": 41359, "uuid": "6b7246344ff1441b8cbfddfb895da898", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/high_resolution_land_cover/data/land_cover_maps/A03_Siberia/historical/v1.2/geotiff/", "numberOfFiles": 7319, "volume": 87284579146, "fileFormat": "Data are in GeoTiff format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41252, "uuid": "854cc98dbc634cdb8afa8835994428f5", "short_code": "ob", "title": "ESA High Resolution Land Cover Climate Change Initiative (High_Resolution_Land_Cover_cci): High Resolution Land Cover and Land Cover Change Maps in Siberia (Norther Siberia region) at 30m spatial resolution in GeoTiff format, 1990-2019, v1.2", "abstract": "This dataset contains high resolution (HR) land cover (LC) and land cover change (LCC) maps of a subregion of Siberia, produced by the ESA High Resolution Land Cover (HRLC) Climate Change Initiative (CCI) project. It consists of the following products:\r\n\r\n1) HRLC30: High Resolution Land Cover Maps at 30m spatial resolution for years 1990, 1995, 2000, 2005, 2010, 2015, 2019.\r\n\r\n2) HRLCC30: High Resolution Land Cover Change Maps at 30m spatial resolution of yearly changes. A map every 5 years (1990-1995, 1995-2000, 2000-2005, 2005-2010, 2010-2015,2015-2019) is provided which reports (high priority) changed pixels and their year within the 5-years temporal interval.\r\n\r\n3) Associated uncertainty products\r\n\r\nThey cover the geographic range (59.4°N – 73.9°N, 64.8°E – 87.4°E).\r\n\r\nThe data are provided as both GeoTIFF tiles following the Sentinel 2 MGRS tiling scheme and as a GeoTiff format mosaic. These maps are also referred to as historical maps." }, "onlineresource_set": [] }, { "ob_id": 41360, "uuid": "fd8ff5eead3e401782adc0c04476ce70", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/high_resolution_land_cover/data/land_cover_maps/A02_Amazonia/historical/v1.2/geotiff/", "numberOfFiles": 9401, "volume": 108903230662, "fileFormat": "Data are in GeoTiff format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41251, "uuid": "b053b51e854d484a9657f6bfb5ebd516", "short_code": "ob", "title": "ESA High Resolution Land Cover Climate Change Initiative (High_Resolution_Land_Cover_cci): High Resolution Land Cover and Land Cover Change Maps in Amazonia (Eastern Amazonas region) at 30m spatial resolution in GeoTiff format, 1990-2019, v1.2", "abstract": "This dataset contains high resolution (HR) land cover (LC) and land cover change (LCC) maps of a subregion of Amazonia, produced by the ESA High Resolution Land Cover (HRLC) Climate Change Initiative (CCI) project. It consists of the following products:\r\n\r\n1) HRLC30: High Resolution Land Cover Maps at 30m spatial resolution for years 1990, 1995, 2000, 2005, 2010, 2015, 2019.\r\n2) HRLCC30: High Resolution Land Cover Change Maps at 30m spatial resolution of yearly changes. A map every 5 years (1990-1995, 1995-2000, 2000-2005, 2005-2010, 2010-2015,2015-2019) is provided which reports (high priority) changed pixels and their year within the 5-years temporal interval.\r\n3) Associated uncertainty products.\r\n\r\nThey cover the geographic range (23.6°S – 11.7°S; 46.7°W – 62.1°W).\r\n\r\nThe data are provided as both GeoTIFF tiles following the Sentinel-2 MGRS tiling scheme and as a GeoTiff format mosaic. These maps are also referred to as historical maps." }, "onlineresource_set": [] }, { "ob_id": 41361, "uuid": "ee08bd697b1d4109bdd2d040d85ad778", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/high_resolution_land_cover/data/land_cover_maps/A03_Siberia/static/v1.2/geotiff/HRLC10/", "numberOfFiles": 1971, "volume": 225131714172, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41250, "uuid": "e7864129084c4baaa34be3a1cfaaa13d", "short_code": "ob", "title": "ESA High Resolution Land Cover Climate Change Initiative (High_Resolution_Land_Cover_cci): High Resolution Land Cover Maps in Siberia (Northern Siberia region) at 10m spatial resolution for 2019 in Geotiff format, v1.2", "abstract": "This dataset contains high resolution (HR) land cover (LC) maps of a subregion of Siberia, produced by the ESA High Resolution Land Cover (HRLC) Climate Change Initiative (CCI) project. It consists of the following products:\r\n\r\n1) HRLC10: High Resolution Land Cover Maps at 10m spatial resolution for year 2019 (also referred to as static maps).\r\n\r\n2) Associated uncertainty products.\r\n\r\nThey cover the geographic range (51.3°N – 75.7°N; 64.4°E – 93.4°E).\r\n\r\nThe data are provided as both GeoTIFF tiles following the Sentinel-2 MGRS tiling scheme and as a GeoTiff format mosaic. These maps are also referred to as static maps." }, "onlineresource_set": [] }, { "ob_id": 41362, "uuid": "94723a04b4dc40bfaf6f2375f3015e91", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/high_resolution_land_cover/data/land_cover_maps/A02_Amazonia/static/v1.2/geotiff/HRLC10/", "numberOfFiles": 2845, "volume": 225725347151, "fileFormat": "Data are in GeoTiff format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41249, "uuid": "0bc7042123984c69aa45cb6788bfdaa0", "short_code": "ob", "title": "ESA High Resolution Land Cover Climate Change Initiative (High_Resolution_Land_Cover_cci): High Resolution Land Cover Maps in Amazonia (Eastern Amazonas region) at 10m spatial resolution for 2019 in Geotiff format, v1.2", "abstract": "This dataset contains high resolution (HR) land cover (LC) maps of a subregion of Amazonia, produced by the ESA High Resolution Land Cover (HRLC) Climate Change Initiative (CCI) project. It consists of the following products:\r\n\r\n1) HRLC10: High Resolution Land Cover Maps at 10m spatial resolution for year 2019 (also referred to as static maps).\r\n2) Associated uncertainty products.\r\n\r\nThey cover the geographic range (23.6°S – 0°S; 42.9°W – 62.1°W).\r\n\r\nThe data are provided as both GeoTIFF tiles following the Sentinel-2 MGRS tiling scheme and as a GeoTiff format mosaic. These maps are also referred to as static maps." }, "onlineresource_set": [] }, { "ob_id": 41363, "uuid": "e62bc64022ad4eb2b1dbe80d43493bca", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/high_resolution_land_cover/data/land_cover_maps/A01_Africa/historical/v1.2/geotiff/", "numberOfFiles": 11055, "volume": 100384657865, "fileFormat": "Data are in Geotiff format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39807, "uuid": "a3fb75aa46db4711ab587f3fa3ca01fe", "short_code": "ob", "title": "ESA High Resolution Land Cover Climate Change Initiative (High_Resolution_Land_Cover_cci): High Resolution Land Cover and Land Cover Change Maps in Africa (Eastern Sahel region) at 30m spatial resolution in GeoTiff format, 1990-2019, v1.2", "abstract": "This dataset contains high resolution (HR) land cover (LC) and land cover change (LCC) maps of a subregion of Africa, produced by the ESA High Resolution Land Cover (HRLC) Climate Change Initiative (CCI) project. It consists of the following products:\r\n\r\n1) HRLC30: High Resolution Land Cover Maps at 30m spatial resolution for years 1990, 1995, 2000, 2005, 2010, 2015, 2019.\r\n2) HRLCC30: High Resolution Land Cover Change Maps at 30m spatial resolution of yearly changes. A map every 5 years (1990-1995, 1995-2000, 2000-2005, 2005-2010, 2010-2015,2015-2019) is provided which reports (high priority) changed pixels and their year within the 5-years temporal interval.\r\n3) Associated uncertainty products.\r\n\r\nThey cover the geographic range (3.5°N – 16.3°N; 27.0°E – 43.3°E).\r\n\r\nThe data are provided as both GeoTIFF tiles following the Sentinel-2 MGRS tiling scheme and as a GeoTiff format mosaic. These maps are also referred to as historical maps." }, "onlineresource_set": [] }, { "ob_id": 41364, "uuid": "e776ba02556443e4a76c711d385bd596", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/high_resolution_land_cover/data/land_cover_maps/A01_Africa/static/v1.2/geotiff/HRLC10/", "numberOfFiles": 3906, "volume": 305157873648, "fileFormat": "Data are in GeoTiff format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39806, "uuid": "f107a4ce186844bb8adf8cd1f2f6d552", "short_code": "ob", "title": "ESA High Resolution Land Cover Climate Change Initiative (High_Resolution_Land_Cover_cci): High Resolution Land Cover Maps in Africa (Eastern Sahel region) at 10m spatial resolution for 2019 in Geotiff format, v1.2", "abstract": "This dataset contains high resolution (HR) land cover (LC) maps of a subregion of Africa, produced by the ESA High Resolution Land Cover (HRLC) Climate Change Initiative (CCI) project. This consists of the following products:\r\n\r\n1) HRLC10: High Resolution Land Cover Maps at 10m spatial resolution for year 2019 (also referred to as static maps).\r\n2) Associated uncertainty products.\r\n\r\nThey cover the geographic range (0.1°S – 18.1°N; 9.9°E – 43.3°E).\r\n\r\nThe data are provided as both GeoTIFF tiles following the Sentinel-2 MGRS tiling scheme and as a GeoTiff format mosaic. These maps are also referred to as static maps." }, "onlineresource_set": [] }, { "ob_id": 41389, "uuid": "699b7a1a82d94ee9a790ee3bd8841c27", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISD/subdaily/HadISDTable/r1/v3-4-0-2023f/", "numberOfFiles": 9687, "volume": 55510914661, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41388, "uuid": "b82b58d085d0433b821f4ae31cb608de", "short_code": "ob", "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2023, v3.4.0.2023f", "abstract": "This is version v3.4.0.2023f of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data.\r\n\r\nThis update (v3.4.0.2023f) to HadISD corrects a long-standing bug which was discovered in autumn 2023 whereby the neighbour checks (and associated [un]flagging for some other tests) were not being implemented. For more details see the posts on the HadISD blog: https://hadisd.blogspot.com/2023/10/bug-in-buddy-checks.html & https://hadisd.blogspot.com/2024/01/hadisd-v3402023f-future-look.html\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20240101_v3.4.1.2023f.nc. The station codes can be found under the docs tab. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\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 HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., (2019), HadISD version 3: monthly updates, Hadley Centre Technical Note.\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014." }, "onlineresource_set": [] }, { "ob_id": 41397, "uuid": "7b3b252e752444dfb29cbf9395473837", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/derived/MOHC/HadOBS/HadEX3/v3-0-4-etsci/", "numberOfFiles": 93, "volume": 4550192669, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41396, "uuid": "2bfbdba03d9b423f99cadf404ca2daab", "short_code": "ob", "title": "HadEX3: global land-surface climate extremes indices v3.0.4 (1901-2018); ETSCI extension", "abstract": "HadEX3-ETSCI is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. The indices in this extension to HadEX3 are those which are recommended by the World Meteorological Organization (WMO) Expert Team on Sector-specific Climate Indices (ET-SCI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). There are minor changes in the input data and also quality control checks which have been included in this dataset which are different to those in HadEX3, version 3.0.4, which contains parameters as defined by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI).\r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nIndices are available as annual and/or monthly quantities. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').\r\n\r\nTo align this extension with the existing ETCCDI indices in HadEX3, we commence versioning at 3.0.4." }, "onlineresource_set": [] }, { "ob_id": 41411, "uuid": "a79cf087ef524ce1bf3549e4fd46f73b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/acsis/pml-sunphotometer/data/v1", "numberOfFiles": 4, "volume": 63129401, "fileFormat": "BADC-CSV, txt", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41413, "uuid": "e74491c96ef24df29a9342a3d57b5939", "short_code": "ob", "title": "ACSIS: Sunphotometer aerosol measurements at Plymouth Marine Laboratory - Version 1. 2001-2023", "abstract": "Measurements of spectral aerosol optical thickness (tau), single scattering albedo (SSA), refractive index (RI), and size distribution of aerosols for preset aerosol diameters (um - microns) made using sunphotometers between June 2001 - December 2023 located on the roof of Plymouth Marine Laboratory (PML), Devon, UK, for the Western Channel Observatory (https://www.westernchannelobservatory.org.uk) and The North Atlantic Climate System Integrated Study (ACSIS). \r\n\r\nThis version 1 dataset contains measurements for 2001 to 2023. Two Kipp and Zonen (UK) PREDE POM01-L sunphotometers were used: June 2001 - March 2008 (Unknown serial number) and August 2009 - December 2023 (Serial Number PS08015). \r\n\r\nThe instruments operated at 7 wavelengths (315, 400, 500, 670, 870, 940 and 1020nm) and scanned at pre-set angles away from the solar disk to determine, using the inversion code of Nakajima et al. (1996), various optical properties of tiny particles called aerosols within the atmospheric column." }, "onlineresource_set": [] }, { "ob_id": 41431, "uuid": "d0260ae5690f42f5bff509f6634b6cb7", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CO2_OC2_FOCA/v10.1", "numberOfFiles": 2550, "volume": 57708787190, "fileFormat": "Data are in netCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41262, "uuid": "2c1cb1d606c4421e9339a3028839a41f", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm, version 10.1", "abstract": "This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (XCO2), using the fast atmospheric trace gas retrieval for OCO2 (FOCAL-OCO2). The FOCAL-OCO2 algorithm which has been setup to retrieve XCO2 by analysing hyper spectral solar backscattered radiance measurements from NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite. FOCAL includes a radiative transfer model which has been developed to approximate light scattering effects by multiple scattering at an optically thin scattering layer. This reduces the computational costs by several orders of magnitude. FOCAL's radiative transfer model is utilised to simulate the radiance in all three OCO-2 spectral bands allowing the simultaneous retrieval of CO2, H2O, and solar induced chlorophyll fluorescence. The product is limited to cloud-free scenes on the Earth's day side. This dataset is also referred to as CO2_OC2_FOCA.\r\n\r\nThis version of the data (v10.1) was produced as part of the European Space Agency's (ESA) \r\nClimate Change Initiative (CCI) Greenhouse Gases (GHG) project (GHG-CCI+, http://cci.esa.int/ghg)\r\nand got co-funding from the University of Bremen and EU H2020 projects CHE (grant agreement no. 776186) and VERIFY (grant agreement no. 776810).\r\n\r\nWhen citing this data, please also cite the following peer-reviewed publications:\r\n\r\nM.Reuter, M.Buchwitz, O.Schneising, S.Noël, V.Rozanov, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 1: Radiative Transfer and a Potential OCO-2 XCO2 Retrieval Setup, Remote Sensing, 9(11), 1159; doi:10.3390/rs9111159, 2017\r\n\r\nM.Reuter, M.Buchwitz, O.Schneising, S.Noël, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 2: Application to XCO2 Retrievals from OCO-2, Remote Sensing, 9(11), 1102; doi:10.3390/rs9111102, 2017" }, "onlineresource_set": [] }, { "ob_id": 41432, "uuid": "c75c7d1ec8024e9bb2f4e50e2c319ab8", "short_code": "result", "curationCategory": "", "dataPath": "/badc/dcmex/data/DCMEX2022_Ground_Met/", "numberOfFiles": 5, "volume": 4333090, "fileFormat": "BADC-CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41420, "uuid": "87afd9f974c6424290435bd9a418f71a", "short_code": "ob", "title": "DCMEX: meteorological data from Langmuir ground station for the New Mexico field campaign 2022", "abstract": "Meteorological data was collected by the University of Manchester at Langmuir ground station in the Magdalena Mountains, New Mexico, between July and August 2022 as part of the Deep Convective Microphysics Experiment (DCMEX) project.\r\n\r\nThis dataset contains meteorological data from two ground meteorological stations. A Gill MaxiMet GMX600 meteorological station was installed at the Langmuir Laboratory main building (33.97495N, 107.18100W, ~3255 m) next to the Digitel aerosol filter sampler and provides measurements of wind speed, wind direction, temperature, humidity, pressure, and precipitation rate. A second meteorological station, a Vaisalla WTX536 meteorological station, was installed at the Langmuir Kiva-2 laboratory next to the Digitel aerosol filter sampler and provides measurements of wind speed, wind direction, temperature, humidity, pressure, and precipitation rate. The meteorological stations are supported by the University of Manchester scientists." }, "onlineresource_set": [] }, { "ob_id": 41434, "uuid": "c237f225026d44a3b77853e59e63eafc", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2024/REAL-world-climate-change-proj/data/", "numberOfFiles": 566, "volume": 137284716458, "fileFormat": "These data are provided in netCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41433, "uuid": "b153fcf4ad4944baa059e433c83255c8", "short_code": "ob", "title": "Fixed concentration simulations with UKESM1 across multiple global warming levels (500 years per simulation)", "abstract": "Six 500-year long climate model simulations were performed with the UKESM1-0-LL Earth System Model under constant external forcing conditions. The simulations were designed to span a range of global warming levels to explore projected climate change between 1.5 and 5°C above pre-industrial levels in a fully coupled, state-of-art Earth System Model (ESM). \r\nThe external forcings for each simulation are held at the level they were at in a parent ScenarioMIP simulation at the time the simulations are branched off. The six experiments are branched from the historical and ScenarioMIP experiments as follows (in order of mean warming over 500 years): \r\n•r1i1p1f2 (suite-id: u-bq777): 2014 in historical \r\n•r3i1p1f2 (suite-id: u-bw848): 2020 in SSP3-7.0 \r\n•r5i1p1f2 (suite-id: u-bz227): 2025 in SSP3-7.0 \r\n•r6i1p1f2 (suite-id: u-cd269): 2025 in SSP2-4.5 \r\n•r4i1p1f2 (suite-id: u-bw987): 2030 in SSP1-1.9\r\n•r2i1p1f2 (suite-id: u-bu607): 2040 in SSP3-7.0\r\nThe dataset contains a subset of CF-compliant, CMORised monthly model output, with more variables and higher frequency data to be added.\r\nFilenaming convention example: \r\n[varname]_[miptable]_UKESM1-0-LL_futControl_r5i1p1f2_gn_245001-252412.nc\r\nPaper reference: To be inserted here when available. \r\nNote futControl is used to reflect the parallels to piControl (fixed external forcings, but future conditions).\r\nThe NERC grants linked to this dataset are: NE/N018486/1 and NE/N018591/1" }, "onlineresource_set": [] }, { "ob_id": 41449, "uuid": "2e6567ff8b16420dbfdf441f83400f00", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CH4_S5P_WFMD/v1.8", "numberOfFiles": 2136, "volume": 126935347162, "fileFormat": "Data are in netCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41358, "uuid": "8175ede3a1d642deba8f4cce49d7bda8", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged methane from Sentinel-5P, generated with the WFM-DOAS algorithm, version 1.8, November 2017 - October 2023", "abstract": "This product is the column-average dry-air mole fraction of atmospheric methane, denoted XCH4. It has been retrieved from radiance measurements from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor satellite in the 2.3 µm spectral range of the solar spectral range, using the Weighting Function Modified Differential Optical Absorption Spectroscopy (WFM-DOAS or WFMD) retrieval algorithm. This dataset is also referred to as CH4_S5P_WFMD. This version of the product is version 1.8, and covers the period from November 2017 - October 2023. \r\n\r\nThe WFMD algorithm is based on iteratively fitting a simulated radiance spectrum to the measured spectrum using a least-squares method. The algorithm is very fast as it is based on a radiative transfer model based look-up table scheme. The product is limited to cloud-free scenes on the Earth's day side.\r\n\r\nThese data were produced as part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project.\r\n\r\nWhen citing this dataset, please also cite the following peer-reviewed publication: \r\nSchneising, O., Buchwitz, M., Hachmeister, J., Vanselow, S., Reuter, M., Buschmann, M., Bovensmann, H., and Burrows, J. P.: Advances in retrieving XCH4 and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm, Atmos. Meas. Tech., 16, 669–694, https://doi.org/10.5194/amt-16-669-2023, 2023." }, "onlineresource_set": [] }, { "ob_id": 41453, "uuid": "4651bd89613d41ad81ba1d41c0add4e1", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/fire/data/burned_area/Sentinel3_SYN/grid/v1.1", "numberOfFiles": 74, "volume": 153355990, "fileFormat": "The data are in netCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 40037, "uuid": "da8e669a74334c82a56e0b470bc4ef04", "short_code": "ob", "title": "ESA Fire Climate Change Initiative (Fire_cci): Sentinel-3 SYN Burned Area Grid product, version 1.1", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The Sentinel-3 SYN Fire_cci v1.1 grid product described here contains gridded data on global burned area derived from surface reflectance data from the OLCI and SLSTR instruments (combined as the Synergy (SYN) product) onboard the Sentinel-3 A&B satellites, complemented by VIIRS thermal information. This product, called FireCCIS311 for short, is available for the years 2019 to 2024.\r\n\r\nThis gridded dataset has been derived from the FireCCIS311 pixel product (also available) by summarising its burned area information into a regular grid covering the Earth at 0.25 x 0.25 degrees resolution and at monthly temporal resolution. Information on burned area is included in 22 individual quantities: sum of burned area, standard error, fraction of burnable area, fraction of observed area, and the burned area for 18 land cover classes, as defined by the Copernicus Climate Change Initiative (C3S) Land Cover v2.1.1 product. For further information on the product and its format see the Product User Guide in the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 41454, "uuid": "9dce61d8fec34fbf96fdc16c72f3de51", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/fire/data/burned_area/Sentinel3_SYN/pixel/v1.1", "numberOfFiles": 2234, "volume": 80639207048, "fileFormat": "The data are in GeoTiff format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 40038, "uuid": "d441079fc77f49fabeb41330612b252f", "short_code": "ob", "title": "ESA Fire Climate Change Initiative (Fire_cci): Sentinel-3 SYN Burned Area Pixel product, version 1.1", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The Sentinel-3 SYN Fire_cci v1.1 pixel product is distributed as 6 continental tiles and is based upon surface reflectance data from the OLCI and SLSTR instruments (combined as the Synergy (SYN) product) onboard the Sentinel-3 A&B satellites. This information is complemented by VIIRS thermal information. This product, called FireCCIS311 for short, is available for the years 2019 to 2024.\r\n\r\nThe FireCCIS311 Pixel product described here includes maps at 0.002777-degree (approx. 300m) resolution. Burned area (BA) information includes 3 individual files, packed in a compressed tar.gz file: date of BA detection (labelled JD), the confidence level (CL, a probability value estimating the confidence that a pixel is actually burned), and the land cover (LC) information as defined in the Copernicus Climate Change Service (C3S) Land Cover v2.1.1 product. An unpacked version of the data is also available. For further information on the product and its format see the Product User Guide in the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 41460, "uuid": "b3ced9c4badf4cc181bbd24e7cb746b8", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/river_discharge/data/WL/v1.1/", "numberOfFiles": 747, "volume": 35070742, "fileFormat": "Data are provided in both CSV and NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41205, "uuid": "c5f0aa806ec444b4a4209b49efc4bb65", "short_code": "ob", "title": "ESA River Discharge Climate Change Initiative (RD_cci): Nadir radar altimeters Water Level product, v1.1", "abstract": "This dataset contains water level (WL) data from the ESA Climate Change Initiative River Discharge project (RD_cci). Water level in this context corresponds to the distance between river surface water and a reference surface (the WGS84 ellipsoid). This physical variable might also be referred to as Water Surface Elevation (WSE) in other dataset or publications.\r\n\r\n These river water level time series have been computed in at 54 locations (within 18 river basins). The data has been derived from nadir viewing satellite radar altimeter missions (ERS-2, Envisat, Saral, Topex-Poseidon, Jason-1, Jason-2, Jason-3, Sentinel-3A/B and Sentinel 6). At each location, time series are provided for each available single nadir radar altimetry mission. Based on these single mission time series, merged multi-missions WL time series have also been produced." }, "onlineresource_set": [] }, { "ob_id": 41461, "uuid": "d339e52a874d44a79fae0e916b98ee5b", "short_code": "result", "curationCategory": "", "dataPath": "/badc/osca/data/london/OSCA_LHOP_Sonic_Windmaster/", "numberOfFiles": 35, "volume": 36999214, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41381, "uuid": "0c37b06d024d4f8eb6f7ffc0c66d3b4e", "short_code": "ob", "title": "Wind speed and direction data from Gill sonic windmaster instrument at London Honor Oak Park Air Quality Supersite", "abstract": "One minute wind speed and wind direction data at 16m above ground level from a Gill Sonic Windmaster instruments at the London Honor Oak Park Air Quality Supersite (LHOP) for the Integrated Research Observation System for Clean Air (OSCA) project, 2021 onwards." }, "onlineresource_set": [] }, { "ob_id": 41462, "uuid": "b07db6d9896244898c52691496e4d08f", "short_code": "result", "curationCategory": "", "dataPath": "/badc/acsis/UKESM1-hindcasts/", "numberOfFiles": 1376, "volume": 503902032605, "fileFormat": "pp format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41414, "uuid": "88b969c2540e4d558c2896fb5b8ef613", "short_code": "ob", "title": "ACSIS: UKESM1 simulations for the North Atlantic Climate System Integrated Study", "abstract": "Three UK Earth Sysyem Model (UKESM1) hindcasts have been performed in support of the North Atlantic Climate System Integrated Study (ACSIS). \r\n\r\nData is provided as raw model output in Met Office PP (32-bit) format that can be read by the Iris (https://scitools-iris.readthedocs.io/en/stable/) or cf-python (https://ncas-cms.github.io/cf-python/) libraries.\r\n\r\nThis is global data at N96eL85 resolution (1.875 x 1.25, 85 model levels up to 85km). Simulations were performed on the Monsoon2 High Performance Computer (HPC).\r\n\r\nThe following fields are contained in the dataset: O3, NO, NO2, CO, CH4, 4x Stratospheric O3 tracers, and 30x idealised tracers emitted from various locations (15 with a 5-day e-folding lifetime, and 15 with a 30-day e-folding lifetime). Data is provided in mass mixing ratio (kg species/kg air)." }, "onlineresource_set": [] }, { "ob_id": 41477, "uuid": "e892821c488e4d58bc54e864a1024c7b", "short_code": "result", "curationCategory": "", "dataPath": "/badc/aphh/data/beijing/bham-gc-pam/", "numberOfFiles": 3, "volume": 10072, "fileFormat": "BADC-CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41480, "uuid": "9458b2aea1cf4dd48a7ff810a4197304", "short_code": "ob", "title": "Chamber reaction products identified from toluene/m-xylene oxidation using GCxGC TOFMS at the University of Birmingham", "abstract": "A list of reaction products from the photo-oxidation of m-xylene and toluene in chamber experiments for the Quantitative Attribution of Secondary Organic Aerosol in Beijing to its Precursors project which was part of the Air Pollution and Human Health in Developing Megacities programme.\r\n\r\nA potential aerosol mass (PAM) chamber was used to investigate the oxidised products from the photo-oxidation of m-xylene and toluene. The chamber experiments were carried out with hydroxyl (OH) radical as oxidant in both high- and low-NOx conditions and the resultant aerosol samples were collected using quartz filters and analysed by the two dimensional Gas Chromatography Time-Of-Flight Mass Spectrometry (GC×GC-TOFMS) at the University of Birmingham." }, "onlineresource_set": [] }, { "ob_id": 41482, "uuid": "72910327af314011b0cdc447e50af14a", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_surface_salinity/data/v04.41/GLOBALv4.41/7days/", "numberOfFiles": 4686, "volume": 41573375701, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41232, "uuid": "0d0f4a942a144d9cab9263de3949a5d6", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product on a global grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 week. It is spatially sampled on a 0.25 degree grid and 1 day of time sampling. This product is also available separately on polar 25km EASE (Equal Area Scalable Earth) grids. A monthly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page.\r\n\r\nCompared to version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset also covers a longer period (Jan 2010-Oct 2022)." }, "onlineresource_set": [] }, { "ob_id": 41483, "uuid": "a344f9eb735c42dfa71a40bcc4ab6bdb", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_surface_salinity/data/v04.41/SHv4.41/7days/", "numberOfFiles": 4686, "volume": 11738960460, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41233, "uuid": "a601f52222ba486aa9f0a18db3a009b7", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product for the Southern Hemisphere on a 25km EASE grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 week. It is spatially sampled on a SH polar 25km EASE (Equal Area Scalable Earth) grid with 1 day of time sampling. This product is also available separately on a regular lat/lon grid. A monthly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page.\r\n\r\nCompared to version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset covers a longer period (Jan 2010-Oct 2022)." }, "onlineresource_set": [] }, { "ob_id": 41484, "uuid": "d213d1e2f2d14503af1f682b93499c20", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_surface_salinity/data/v04.41/NHv4.41/7days/", "numberOfFiles": 4686, "volume": 9890019556, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41231, "uuid": "471698c7db45451cbf3b7d834ecab9fd", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product for the Northern Hemisphere on a 25km EASE grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 week. It is spatially sampled on a NH polar 25km EASE (Equal Area Scalable Earth) grid with 1 day of time sampling. This product is also available separately on a regular lat/lon grid. A monthly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page.\r\n\r\nCompared to version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset covers a longer period (Jan 2010-Oct 2022)." }, "onlineresource_set": [] }, { "ob_id": 41485, "uuid": "e2ccc1b499364164898ce3d26bcfaccc", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_surface_salinity/data/v04.41/GLOBALv4.41/30days/", "numberOfFiles": 308, "volume": 2885506947, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41234, "uuid": "7cc16c0d8d2f49278ed5ebf8341ed40b", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product on a global grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 month. It is spatially sampled on a 0.25 degree grid and 15 days of time sampling. This product is also available separately on polar 25km EASE (Equal Area Scalable Earth) grids. A weekly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page.\r\n\r\nCompared to version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset covers a longer period (Jan 2010-Oct 2022)." }, "onlineresource_set": [] }, { "ob_id": 41486, "uuid": "c166ed9a03094f47a7d8732f84681aee", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_surface_salinity/data/v04.41/SHv4.41/30days/", "numberOfFiles": 308, "volume": 782650643, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41235, "uuid": "249d2907975a45a8b078e1a8bd4a7343", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product for the Southern Hemisphere on a 25km EASE grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 month. It is spatially sampled on a SH polar 25km EASE (Equal Area Scalable Earth) grid with 15 days of time sampling. This product is also available separately on a regular lat/lon grid. A weekly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page.\r\n\r\nCompared to version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset covers a longer period (Jan 2010-Oct 2022)." }, "onlineresource_set": [] }, { "ob_id": 41487, "uuid": "39c8c48f845d4b00947dd74cf2d9f574", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sea_surface_salinity/data/v04.41/NHv4.41/30days/", "numberOfFiles": 308, "volume": 652024928, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41236, "uuid": "ecc355e395ed4c5597c613ae7f9c53b0", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product for the Northern Hemisphere on a 25km EASE grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 month. It is spatially sampled on a NH polar 25km EASE (Equal Area Scaleable Earth) grid with 15 days of time sampling. This product is also available separately on a regular lat/lon grid. A weekly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page.\r\n\r\nCompared to version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset covers a longer period (Jan 2010-Oct 2022)." }, "onlineresource_set": [] }, { "ob_id": 41488, "uuid": "f522191f1d484eff8f4586e5b5d89c89", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CO2_GO2_SRFP/v2.0.2", "numberOfFiles": 1001, "volume": 2034899067, "fileFormat": "The data are in netCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41427, "uuid": "875f25069b5d4bd9a7101ca1206ee4f0", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from GOSAT-2, derived using the SRFP (RemoTeC) full physics algorithm (CO2_GO2_SRFP), version 2.0.2", "abstract": "This dataset contains column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2). It has been produced using Near Infrared (NIR) and Shortwave Infrared (SWIR) spectra acquired from the Thermal and Near Infrared Sensor for Carbon Observations - Fourier Transform Spectrometer-2 (TANSO-FTS-2) onboard the Japanese Greenhouse gases Observing Satellite (GOSAT-2), using the Remote Sensing of Greenhouse Gases for Carbon Cycle Modeling (RemoTeC) SRON Full Physics (SRFP) retrieval algorithm. Results are provided for the individual GOSAT-2 spatial footprints.\r\n\r\nThese data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme." }, "onlineresource_set": [] }, { "ob_id": 41493, "uuid": "92ab7afdbdf04bea94f2543ddad5924c", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CH4_GO2_SRFP/v2.0.2", "numberOfFiles": 1001, "volume": 2034850071, "fileFormat": "The data are in netCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41425, "uuid": "c14874e943cc453a8e63ce5841ecc9b0", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged methane from GOSAT-2, generated with the SRFP (RemoTeC) full physics retrieval algorithm (CH4_GO2_SRFP), version 2.0.2", "abstract": "This dataset contains column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using Near Infrared (NIR) and Shortwave Infrared (SWIR) spectra acquired from the Thermal and Near Infrared Sensor for Carbon Observations - Fourier Transform Spectrometer-2 (TANSO-FTS-2) onboard the Japanese Greenhouse gases Observing Satellite (GOSAT-2), using the Remote Sensing of Greenhouse Gases for Carbon Cycle Modeling (RemoTeC) SRON Full Physics (SRFP) retrieval algorithm. Results are provided for the individual GOSAT-2 spatial footprints.\r\n\r\nThese data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme." }, "onlineresource_set": [] }, { "ob_id": 41494, "uuid": "24335418267a49abbb7ba192e059be88", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CH4_GO2_SRPR/v2.0.2", "numberOfFiles": 1001, "volume": 1534628744, "fileFormat": "The data are provided in netCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41429, "uuid": "3fc7927499fa49e0b6ace6c807972259", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged methane from GOSAT-2, generated with the SRPR (RemoTeC) proxy retrieval algorithm (CH4_GO2_SRPR), version 2.0.2", "abstract": "This dataset contains column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using Near Infrared (NIR) and Shortwave Infrared (SWIR) spectra acquired from the Thermal and Near Infrared Sensor for Carbon Observations - Fourier Transform Spectrometer-2 (TANSO-FTS-2) onboard the Japanese Greenhouse gases Observing Satellite (GOSAT-2), using the Remote Sensing of Greenhouse Gases for Carbon Cycle Modeling (RemoTeC) SRON Proxy (SRPR) retrieval algorithm. Results are provided for the individual GOSAT-2 spatial footprints.\r\n\r\nThese data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme." }, "onlineresource_set": [] }, { "ob_id": 41496, "uuid": "4f87876dddda4b9e9f7e9f7b424881df", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2024/KaliBorneoClimateProjections", "numberOfFiles": 91, "volume": 56467817667, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41468, "uuid": "9c82a38dff8940b594fbbb939cf4b1eb", "short_code": "ob", "title": "Deforestation and Climate Change scenarios with a regional climate model over Borneo (2005 – 2100).", "abstract": "This dataset contains simulations of the climate scenario RCP8.5 with and without total deforestation using the regional climate model RegCM4. The output was then used for calculations of the Fire Weather Index, and that data is also included. \r\nThe data is in two main formats: netcdf files from the regional climate model, and the txt files with Fire Weather Index. \r\nThe time periods covered are: \r\n2010 – 2029 RCP8.5, Control Land cover \r\n2010 – 2029 RCP8.5, Deforested Land cover\r\n2081 – 2099 RCP8.5, Control Land cover\r\n2081 – 2099 RCP8.5, Deforested Land cover\r\nThe last 15 years of each simulation was used. Each simulation was run for each initial conditions and boundary conditions of the models: HadGEM2-ES, MPI-ESM-MR, CSIRO-MK36, IPSL-CM5A-LR, CNRM-CM5, CanESM2, giving a total of 24 simulations.\r\n\r\nThese data are used in the paper, “Future Fire risk under Climate Change and Deforestation Scenarios in Tropical Borneo”. Davies-Barnard et al, 2023." }, "onlineresource_set": [] }, { "ob_id": 41498, "uuid": "2a498ed87e36436cba6d92cd67854dbc", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/bgs240021", "numberOfFiles": 1, "volume": 897, "fileFormat": "geotiff", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41499, "uuid": "43eeb6248d7f435da2300edb34cc4bea", "short_code": "ob", "title": "Daily Colour and Intensity Georeferenced Orthophotos of the Cliff and Beach at Happisburgh, Norfolk, UK (April-December 2019) version 2.", "abstract": "This dataset contains georeferenced orthophotos collected daily along a 450 metre coastal stretch at Happisburgh, UK, over a time span of 9 months (April 6, 2019 to December 23, 2019). The dataset contains 190 colour images and 190 intensity images in GEOTIFF format. The orthophotos are produced by projection of LiDAR (Light Detection And Ranging) scans of the coastal stretch. There are 190 images out of a possible 262 days, since only days when scans were performed from two locations are included, which did not happen every day due to weather conditions. The orthophotos are point-cloud renders of the scan data created using ScanLAB's proprietary point-cloud rendering engine. The colour orthophotos are rendered using the colour information projected onto the scan during post-process colourisation. The intensity orthophotos are rendered using the intensity data for each scan. The orthophotos are rendered using an orthographic virtual camera which frames the useful extents of the scan data and is orientated such that the rendered orthophoto is \"north-up\". The orthophotos are georeferenced using pythons GDAL library and ground-truth GPS measurements taken at the two TLS positions onsite. The procedure for this follows; 1) the ground-truth GPS positions were converted from OSGB 1936 / British National Grid to Latitude and Longitude., 2) The pixel resolution of the orthophotos was calculated from the pixel position of the two TLS in the orthophotos and the two ground truth GPS positions., 3) The GPS position of the top left pixel of the orthophoto was calculated using pixel position of a TLS and the pixel resolution., 4) A python script using the GDAL library applied the GPS metadata to the orthophoto and saved it in GEOTIFF format. These data were collected to better understand the dynamic of beach-cliff and shore platform interaction along soft cliffed coasts. This research was funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project). The on-location LiDAR Scanning and Technical R&D operated by ScanLAB Projects Ltd was funded by Innovate UK's Audience of the Future Program (Multiscale 3D Scanning with Framerate for TV and Immersive Applications project). The first 6 months of LiDAR scans (April to September 2019) were funded by Innovate UK, and this project was continued by the NERC BLUE-coast funding for the last 3 months (October to December 2019). The files were re-submitted and this DOI represents the second version of the data." }, "onlineresource_set": [] }, { "ob_id": 41501, "uuid": "5af37428ea5f4fbaa9776baac147d00d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/hydro-jules/data/CHIRP-GLEAMS-amendment-2024/CHIRPS_GLEAM/", "numberOfFiles": 98, "volume": 358190874903, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41500, "uuid": "e652f0109f21401680bc3c0ac834a96e", "short_code": "ob", "title": "Hydro-JULES: Global high-resolution drought datasets from 1981-2022 - Amendment to CHIRPS_GLEAM subset", "abstract": "This is a revised version of the Climate Hazards group InfraRed Precipitation with Station data (CHIRPS) Global Land Evaporation Amsterdam Model (GLEAM) data from the Hydro-JULES: Global high-resolution drought dataset (doi:10.5285/ac43da11867243a1bb414e1637802dec).\r\n\r\nThis version corrects some errors found in the previous version due to the model run errors in some areas. The model has been re-run to accurately produce the dataset. \r\n\r\nThese are global scale high-resolution drought indices developed from a combination of precipitation and potential evapotranspiration datasets for the Hydro-JULES project. Climate Hazards group InfraRed Precipitation with Station data (CHIRPS), Multi-Source Weighted-Ensemble Precipitation (MSWEP) precipitation estimates, Global Land Evaporation Amsterdam Model (GLEAM) and Bristol Hourly potential evapotranspiration (hPET) estimates were used. The drought index is developed using the Standardized Precipitation-Evapotranspiration Index (SPEI). These high-resolution global scale drought indices are available from 1981-2022 at a monthly and 5km spatial resolution. The SPEI indices are available from 1-48 months. The datasets provide valuable information for the study and analysis of droughts at much higher resolution from global to local scale. \r\n\r\nThese data were produced for Hydro-Jules (NE/S017380/1) and REACH (Foreign, Commonwealth and Development Office): Programme Code 201880." }, "onlineresource_set": [] }, { "ob_id": 41503, "uuid": "a0bd3a240a5d4bc3a81850a89114da65", "short_code": "result", "curationCategory": "", "dataPath": "/badc/osca/data/birmingham/OSCA_BAQS_Thermol_49i_O3/", "numberOfFiles": 91, "volume": 121709696, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 41502, "uuid": "d174d45cae2745f9af08ab078aade0f2", "short_code": "ob", "title": "Ozone Abundance Data from Model 49i Ozone Analyzer Instrument at the Birmingham Air Quality Site, 2019 onwards", "abstract": "Mass Fraction of Ozone (O3) in air measured at 2 metres above ground level by a Thermo Model 49i Ozone Analyzer Instrument at the Birmingham Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, "onlineresource_set": [] } ] }