Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=10000
{ "count": 11555, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=10100", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=9900", "results": [ { "ob_id": 39141, "uuid": "7aea4992cd414f8baab5473cb99abbb3", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/HighResMIP/NERC/HadGEM3-GC31-HM/hist-1950", "numberOfFiles": 7541, "volume": 11332610018835, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39140, "uuid": "0805b267ff2a4d6abe6786a213f36b51", "short_code": "ob", "title": "PRIMAVERA: Natural Environment Research Council (NERC) HadGEM3-GC31-HM model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project data from the Natural Environment Research Council (NERC) HadGEM3-GC31-HM model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Prim3hr, Prim3hrPt, Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble member: r1i2p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, "onlineresource_set": [] }, { "ob_id": 39143, "uuid": "be0a1b72e69347f7907970673016144e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/CNRM-CERFACS/CNRM-CM6-1/primWP5-amv-neg", "numberOfFiles": 4203, "volume": 1333160412639, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39142, "uuid": "3021f3bf4124445cafaff854ba5ab322", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CFday, Eday, Efx, Emon, LImon, Lmon, Oday, Ofx, Omon, Prim6hr, Primday, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, "onlineresource_set": [] }, { "ob_id": 39146, "uuid": "9535035f948e45e2aa2ce5a2b6a3ef4c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/CNRM-CERFACS/CNRM-CM6-1/primWP5-amv-pos", "numberOfFiles": 4202, "volume": 1332845396188, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39145, "uuid": "bde0b2d371ae4b95a35b35019003c9d9", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CFday, Eday, Efx, Emon, LImon, Lmon, Oday, Ofx, Omon, Prim6hr, Primday, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, "onlineresource_set": [] }, { "ob_id": 39149, "uuid": "d3611c67c28f49f891e1015db1b6253b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/EC-Earth-Consortium/EC-Earth3P-HR/primWP5-amv-neg", "numberOfFiles": 21181, "volume": 4988245415912, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39148, "uuid": "391ac3a6602e4798b35f3531dc8dea42", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r1i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." }, "onlineresource_set": [] }, { "ob_id": 39152, "uuid": "7cc5fa0cef114222b4d6ff6b0aed58b6", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/EC-Earth-Consortium/EC-Earth3P-HR/primWP5-amv-pos", "numberOfFiles": 54383, "volume": 4691807050408, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39151, "uuid": "8552d57b8d114fff882b1777e517e53a", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r1i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." }, "onlineresource_set": [] }, { "ob_id": 39155, "uuid": "d291a7e42f3841ac9cf67f57a2fe6ee7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/EC-Earth-Consortium/EC-Earth3P/primWP5-amv-neg", "numberOfFiles": 37000, "volume": 2034015405651, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39154, "uuid": "113b7fcad6f34af68753ffc0cd5866c9", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Omon, SImon and day. The runs included the ensemble members: r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." }, "onlineresource_set": [] }, { "ob_id": 39158, "uuid": "e1e5d49bb2bd437d836cff2fae46c892", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/EC-Earth-Consortium/EC-Earth3P/primWP5-amv-pos", "numberOfFiles": 37003, "volume": 2033893453223, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39157, "uuid": "9b34ccfd4def4b9f8f05869c58b10db9", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Omon, SImon and day. The runs included the ensemble members: r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." }, "onlineresource_set": [] }, { "ob_id": 39161, "uuid": "a91f1ca40cb048a8a4e013064cdc427b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/ECMWF/ECMWF-IFS-HR/primWP5-amv-neg", "numberOfFiles": 9451, "volume": 2283469691015, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39160, "uuid": "5e2dfd603baf452aa0f0f5c61d0f755f", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, "onlineresource_set": [] }, { "ob_id": 39164, "uuid": "8a822e009c6b4d4b8d7de2acfc7ab926", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/ECMWF/ECMWF-IFS-HR/primWP5-amv-pos", "numberOfFiles": 9451, "volume": 2283471287214, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39163, "uuid": "4cbafbd9804c4aebbd8e1f8167f2d26b", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, "onlineresource_set": [] }, { "ob_id": 39167, "uuid": "6b4e887534a5409ab4c5159b571db744", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/ECMWF/ECMWF-IFS-LR/primWP5-amv-neg", "numberOfFiles": 18901, "volume": 840503780752, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39166, "uuid": "bf79ec8e022c4bd2acbccc11233a7f79", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, "onlineresource_set": [] }, { "ob_id": 39170, "uuid": "26675024ca3e462880300fd3112bb2b2", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/ECMWF/ECMWF-IFS-LR/primWP5-amv-pos", "numberOfFiles": 18901, "volume": 840528426522, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39169, "uuid": "0ab959fac4694b6dbaac4ebca68fbf97", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, "onlineresource_set": [] }, { "ob_id": 39174, "uuid": "b957eb6a9bf2413da390d539bd1186c1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/NCAS/MetUM-GOML2-HR/primWP5-amv-neg", "numberOfFiles": 2226, "volume": 1364657348394, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39173, "uuid": "90059d1dfd0145ddac0db08f9501c59e", "short_code": "ob", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, "onlineresource_set": [] }, { "ob_id": 39178, "uuid": "07279e1c2af34bc184171eec9bf523e1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/NCAS/MetUM-GOML2-HR/primWP5-amv-pos", "numberOfFiles": 2223, "volume": 1364657253154, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39177, "uuid": "2eb3cb3526fe4e8fbb16f0b3fddda74f", "short_code": "ob", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, "onlineresource_set": [] }, { "ob_id": 39181, "uuid": "3e9075567b864b24b6db679c337e3f5c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/NCAS/MetUM-GOML2-LR/primWP5-amv-neg", "numberOfFiles": 706, "volume": 212413571238, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39180, "uuid": "2d96ea5a71094bb58af393922ed55911", "short_code": "ob", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, "onlineresource_set": [] }, { "ob_id": 39185, "uuid": "f9e5f69a69a54e72896a862d927335ea", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/PRIMAVERA/primWP5/NCAS/MetUM-GOML2-LR/primWP5-amv-pos", "numberOfFiles": 692, "volume": 194091494082, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39184, "uuid": "5bd61c78606a4dd8839b0b89aa8ee303", "short_code": "ob", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, "onlineresource_set": [] }, { "ob_id": 39187, "uuid": "a71562f59a4d45c78e45f16eabea150f", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig05/v20221116", "numberOfFiles": 4, "volume": 260612, "fileFormat": "csv, txt", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 34599, "uuid": "c6f19b27f8e74e98968c17c8e1f74c60", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.5 (v20221116)", "abstract": "Data for Figure 2.5 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.5 shows globally-averaged dry-air mole fractions of CO2, CH4, and N2O derived from surface observations.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels (a, b, c), and each panel contains an insert. Data provided for all panels in one single file (Data_Figure_2_5.csv).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains time series for:\r\n \r\n - Observed atmospheric global carbon dioxide (CO2) (1958-2019).\r\n - Observed atmospheric global methane (CH4) (1979-2019).\r\n - Observed atmospheric global nitrous oxide (N2O) (1979-2019).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n \r\n - Data file Data_Figure_2_5.csv, column 2, grey line.\r\n - Data file Data_Figure_2_5.csv, column 17, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 29, yellow line.\r\n\r\n\r\nInset panel a:\r\n \r\n - Data file Data_Figure_2_5.csv, column 3, grey line.\r\n - Data file Data_Figure_2_5.csv, column 18, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 30, yellow line.\r\n\r\n\r\nPanel b:\r\n \r\n - Data file Data_Figure_2_5.csv, column 5, grey line.\r\n - Data file Data_Figure_2_5.csv, column 20, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 11, red line.\r\n - Data file Data_Figure_2_5.csv, column 26, green circles.\r\n\r\n\r\nInset panel b:\r\n \r\n - Data file Data_Figure_2_5.csv, column 6, grey line.\r\n - Data file Data_Figure_2_5.csv, column 21, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 12, red line.\r\n - Data file Data_Figure_2_5.csv, column 27, green line.\r\n\r\n\r\nPanel c:\r\n \r\n - Data file Data_Figure_2_5.csv, column 8, grey line.\r\n - Data file Data_Figure_2_5.csv, column 23, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 14, red line.\r\n\r\n\r\nInset panel c:\r\n \r\n - Data file Data_Figure_2_5.csv, column 9, grey line.\r\n - Data file Data_Figure_2_5.csv, column 24, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 15, red line.\r\n\r\n\r\nAcronyms: \r\nNOAA - National Oceanic and Atmospheric Administration\r\nAGAGE - Advanced Global Atmospheric Gases Experiment\r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1" }, "onlineresource_set": [] }, { "ob_id": 39190, "uuid": "b1ebafbdb24540dfbe033290026e1194", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig38/v20221115", "numberOfFiles": 5, "volume": 10654, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39189, "uuid": "7a7630213de543a9a19c7015dc198970", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.38 (v20221115)", "abstract": "Data for Figure 2.38 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.38 shows indices of multi-decadal climate variability from 1854-2019 based upon several sea surface temperature data products.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - AMV.nc contains Atlantic Multidecadal Variability (AMV) index from COBE, ERSST, HADI and KAPL.\r\n - PDV.nc contains PDV index from COBE, ERSST, HADI and KAPL.\r\n \r\n Data acronyms:\r\n COBE [Objective Analyses of Sea-Surface Temperature and Marine Meteorological Variables for the 20th Century using ICOADS and the Kobe Collection].\r\n ERSST [NOAA Extended Reconstructed Sea Surface Temperature].\r\n HADI [Hadley Centre Sea Ice and Sea Surface Temperature data set].\r\n KAPL [Kaplan Extended SST].\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Upper panel:\r\n - Data file: AMV.nc (10-year-filtered, yearly data, 1854-2019)\r\n \r\n Lower panel:\r\n - Data file: PDO.nc (10-year-filtered, yearly data, 1854-2019)\r\n \r\n In all the cases: - Blue line corresponds to COBE data set\r\n - Red correspinds to ERSST data set\r\n - Skyblue corresponds to HADI data set\r\n - Green corresponds to KAPL data set\r\n \r\n All sources in every nc file are arranged in columns 1 to 4, respectively.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n- Link to the Supplementary Material for Chapter 2\r\n- Link to code for figure (archived on Zenodo)" }, "onlineresource_set": [] }, { "ob_id": 39193, "uuid": "dda592becf324e008c519eaf87166990", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_ccb2_3_1/v20221115", "numberOfFiles": 6, "volume": 79003, "fileFormat": "csv, txt", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 34596, "uuid": "44864a906fb14075bf81db6f0bf068e7", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for CCB 2.3, Figure 1 (v20221115)", "abstract": "Data for CCB 2.3, Figure 1 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nThis figure shows changes in the assessment of observed global surface temperature between AR5 and AR6.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - The upper panel provides a graphical summary of the text in CCB2.3 which describes how the assessment of observed global surface temperature change has changed between AR5 and AR6.\r\n - The lower panel shows observed global mean surface temperature from 1850 to the latest date available, as assessed in AR5 (finishes 2012) and AR6 (finishes 2020).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Upper panel: \r\n \r\n - Data file: CCB_2_3_upper_panel_data_file.csv, column 2: Lower bound\r\n - Data file: CCB_2_3_upper_panel_data_file.csv, column 3: Central estimate\r\n - Data file: CCB_2_3_upper_panel_data_file.csv, column 4: Upper bound\r\n\r\n\r\nLower panel: \r\n \r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 2: blue line\r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 3: orange line (1880-2012)\r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 4: dotted blue line\r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 5: faint orange line (1850-1880)\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1" }, "onlineresource_set": [] }, { "ob_id": 39196, "uuid": "dd8f9095bb8a4992b323b9e08e1b452e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/surface_velocities_afar_rift/geotiff_data/", "numberOfFiles": 7, "volume": 2592221896, "fileFormat": "These files are provided in Geotiff format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39195, "uuid": "94a315924ed54b08a79e331579fd8c2e", "short_code": "ob", "title": "Surface velocity map of the Afar Rift Zone from 2014-19, geotiff version", "abstract": "This dataset contains a map of ground movements covering the Afar Rift Zone in Ethiopia, Eritrea, and Djibouti for the time period between October 2014 and August 2019. The Afar region is located where three tectonic plates are pulling apart, creating rift segments which are 50-100 km long. Surface deformation on these segments is not constant in time, with episodes of rifting occurring periodically and magma intrusions causing sudden ground movements. We use frequent Sentinel-1 satellite Interferometric Synthetic Aperture Radar (InSAR) observations to measure surface displacements through time across the whole region. We relate these to ground based Global Navigation Satellite Systems (GNSS) observations and combine data from different satellite tracks to produce maps of the average surface velocity in three directions (perpendicular to the rift zone, parallel to the rift zone, and vertical). The continued observation of these time-varying ground movements is important for understanding how continents break up, with data here providing evidence of how tightly focussed extension is around the rift segments and of the subsurface magma movement at several volcanic centres.\r\nThese data have been provided in geotiff format instead of the original netcdf format." }, "onlineresource_set": [] }, { "ob_id": 39200, "uuid": "f77bc9f257614137afe6c384ffb6a56e", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/atsrubt/atsr1", "numberOfFiles": 2272699, "volume": 8144579022490, "fileFormat": "SADIST-2", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32766, "uuid": "4d10319960f442528a8f365ad5dfbcb4", "short_code": "ob", "title": "ATSR-1 Ungridded Brightness Temperature (UBT) Data", "abstract": "Data from the Along Track Scanning Radiometer (ATSR-1) instrument on the ERS-1 platform operational between 1991 and 1996. The ATSR is an imaging radiometer providing images of the Earth from space. The ERS (Earth Resources Satellite) program was funded by and operated by ESA and was the first main ESA EO data campaign. ATSR-1 was placed on the ERS1 platform and ATSR-2 was on the ERS-2 platform. The ATSR-1 and 2 instruments were followed by the Advanced Along Track Scanning Radiometer (AATSR) on the ENVISAT platform in 2002.\r\n\r\nThe ATSR-1 instrument has been designed for exceptional sensitivity and stability of calibration, which are achieved through the incorporation of several innovative features in the instrument design. This design has, among other things, enabled the accurate measurement of sea surface temperature to an accuracy of +/- 0.3K. The design of the ATSR instrument incorporates a dual view made possible by the rotating scan mirror. There is a nadir view and then a subsequent along track view. These provide 2 images per scan and allow improved estimate of atmospheric attenuation. This coupled with the inclusion of consistent calibration using on-board black bodies allows for the collection of extremely radiometrically accurate data. \r\n\r\nThe data are Level1 Ungridded Brightness Temperatures (UBT). The data are in SADIST-2 format and CEDA is the primary archive for this data. The UBT product provides scenes for both nadir and forward views with a swath width of 512km and a ground pixel distance of 1km. \r\n\r\nThis dataset is superseded by the AATSR Multimission ATSR-1 data set that involved reprocessing this data with improved calibration and cloud masking and is available in a number of reprocessings so consistent with ENVISAT format data." }, "onlineresource_set": [] }, { "ob_id": 39201, "uuid": "23c9b37ee3364dfeb848b35364504422", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/atsrubt/atsr2", "numberOfFiles": 3530826, "volume": 16888794263716, "fileFormat": "SADIST-2", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 38727, "uuid": "a96880386de0431f97ed53baa1667ca1", "short_code": "ob", "title": "ATSR-2 Ungridded Brightness Temperature (UBT) Data", "abstract": "Data from the Along Track Scanning Radiometer (ATSR) instrument on the ERS-2 platform operational between 1995 and 2011. The ATSR is an imaging radiometer providing images of the Earth from space on the ERS2- platform. The ERS (Earth Resources Satellite) programme was funded by and operated by ESA and was the first main ESA EO data campaign. ATSR-1 was placed on the ERS-1 platform and ATSR-2 was on the ERS-2 platform. The ATSR-1 and 2 instruments were followed by the Advanced Along Track Scanning Radiometer (AATSR) on the ENVISAT platform in 2002.\r\n\r\nThe ATSR-2 instrument has been designed for exceptional sensitivity and stability of calibration, which are achieved through the incorporation of several innovative features in the instrument design. This design has, among other things, enabled the accurate measurement of sea surface temperature to an accuracy of +/- 0.3K. The design of the ATSR instrument incorporates a dual view made possible by the rotating scan mirror. There is a nadir view and then a subsequent along track view. These provide 2 images per scan and allow improved estimate of atmospheric attenuation. This coupled with the inclusion of consistent calibration using on-board black bodies allows for the collection of extremely radiometrically accurate data. \r\n\r\nThe data are Level1 Ungridded Brightness Temperatures (UBT). The data are in SADIST-2 format and CEDA is the primary archive for this data. The UBT product provides scenes for both nadir and forward views with a swath width of 512km and a ground pixel distance of 1km. \r\n\r\nThis dataset is superceded by the AATSR Multimission ATSR-2 data set that involved reprocessing this data with improved calibration and cloud masking and is available in a number of reprocessings so consistent with ENVISAT format data." }, "onlineresource_set": [] }, { "ob_id": 39202, "uuid": "d8905ca306714f7cbfd428c9d4acf73d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/spm/spm_01/v20221116", "numberOfFiles": 7, "volume": 76519, "fileFormat": "csv", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39198, "uuid": "0b2759059ad6474098e40dad73e0a8ec", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.1 (v20221116)", "abstract": "Data for Figure SPM.1 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.1 shows global temperature history and causes of recent warming.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nPanel a\r\n\r\nThe dataset contains:\r\n\r\n - Estimated temperature during the warmest multi-century period in at least the last 100,000 years, which occurred around 6500 years ago (4500 BCE), multi-centennial average, from AR6 WGI Chapter 2\r\n - Global surface temperature change time series relative to 1850-1900 for 1-2020 from:\r\n• 1-2000 CE reconstruction from paleoclimate archives, decadal smoothed, from PAGES2k Consortium (2019, DOI: 10.1038/s41561-019-0400-0)\r\n• 1850-2020 CE, observations, decadal smoothed, from AR6 WGI Chapter 2 assessed mean\r\n\r\nPanel b:\r\n\r\nThe dataset contains global surface temperature change time series relative to 1850-1900 for 1850-2020 from simulations from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) and observations:\r\n\r\n- CMIP6 historical+ssp245 simulations (simulations with human and natural forcing, 1850-2019)\r\n- CMIP6 hist-nat simulations (simulations with natural forcing, 1850-2019)\r\n- Global Surface Temperature Anomalies (GSTA) relative to 1850-1900 from observations assessed in IPCC AR6 WG1 Chapter 2 (1850-2020)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n---------------------------------------------------\r\nPanel a:\r\n\r\n- panel_a/SPM1_1-2000_recon.csv, 1-2000 time series, decadal smoothed, for years centred on 5-1996 CE [column 1 grey line, columns 2 and 3 grey shading]\r\n- panel_a/SPM1_1850-2020_obs.csv, 1850-2020 time series, decadal smoothed, for years centered on 1855-2016 CE [black line]\r\n- panel_a/SPM1_6500_recon.csv, bar for the warmest multi-century period in more than 100,000 years (around 6500 years ago: 4500 BCE) [grey bar]\r\n\r\nPanel b:\r\n\r\n- panel_b/gmst_changes_model_and_obs.csv. Global surface temperature change time series relative to 1850-1900 for 1850-2020 from:\r\n• CMIP6 historical+ssp245 simulations (1850-2019) [mean, brown line]\r\n• CMIP6 historical+ssp245 simulations (1850-2019) [5% range, brown shading, bottom]\r\n• CMIP6 historical+ssp245 simulations (1850-2019) [95% range, brown shading, top]\r\n• CMIP6 hist-nat simulations (1850-2019) [mean, green line]\r\n• CMIP6 hist-nat simulations (1850-2019) [5% range, green shading, bottom]\r\n• CMIP6 hist-nat simulations (1850-2019) [95% range, green shading, top]\r\n• Global Surface Temperature Anomalies (GSTA) relative to 1850-1900 from observations assessed in IPCC AR6 WG1 Chapter 2 (1850-2020) [black line]\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\nThe following weblinks are provided in the Related Documents section of this catalogue record:\r\n- Link to the figure on the IPCC AR6 website\r\n- Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers), the Technical Summary (Cross-Section Box TS.1, Figure 1a) and the Supplementary Material for Chapters 2 and 3, which contains details on the input data used in Tables 2.SM.1 (Figure 2.11a) and 3.SM.1 (Figure 3.2c; FAQ 3.1, Figure 1).\r\n- Link to related publication for input data\r\n- Link to the webpage of the WGI report" }, "onlineresource_set": [] }, { "ob_id": 39204, "uuid": "7cb5e127253e475782aef0a39865d684", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/spm/spm_03/v20221116", "numberOfFiles": 6, "volume": 17234, "fileFormat": "csv", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 34557, "uuid": "dc6c126c95b1445d8e66d6b9f62054d4", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.3 (v20221116)", "abstract": "Data for Figure SPM.3 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure SPM.3 shows the synthesis of assessed observed and attributable regional changes in hot extremes, heavy precipitation and agricultural and ecological droughts and confidence in human contribution to the observed changes in the world’s regions.\r\n---------------------------------------------------\r\nHow to cite this dataset\r\n---------------------------------------------------\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\nFigure subpanels\r\n---------------------------------------------------\r\nThe figure has three panels, with data provided for all panels in subdirectories named panel_a, panel_b and panel_c.\r\n---------------------------------------------------\r\nList of data provided\r\n---------------------------------------------------\r\nPanel a: Synthesis of assessment of observed change in hot extremes and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n\r\nPanel b: Synthesis of assessment of observed change in heavy precipitation and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n\r\nPanel c: Synthesis of assessment of observed change in agricultural and ecological drought and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n---------------------------------------------------\r\nData provided in relation to figure\r\n---------------------------------------------------\r\n\r\n·\tData file: 'SPM3_panel_a.csv' (AR6 world regions, observed change in hot extremes, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (red), [decrease](blue),[low agreement in type of change](white/grey),[limited data and/or literature](grey) .\r\n\r\n·\tData file: 'SPM3_panel_b.csv' (AR6 world regions, observed change in heavy precipitation, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (green), [decrease](yellow),[low agreement in type of change](white/grey),[limited data and/or literature](grey) .\r\n\r\n·\tData file: 'SPM3_panel_c.csv' (AR6 world regions, observed change in agricultural and ecological drought, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (yellow), [decrease](green),[low agreement in type of change](white/grey),[limited data and/or literature](grey) \r\n\r\n---------------------------------------------------\r\nSources of additional information\r\n---------------------------------------------------\r\nThe data in the files is an assessment of section 11.9 in chapter 11 that is provided in the second first two columns of the tables in that section.\r\n\r\n- Link to the figure on the IPCC AR6 website\r\n- Link to the report component containing the figure (IPCC Report SPM)\r\n- Link to related publication for input data\r\n- Link to the webpage of the WGI report" }, "onlineresource_set": [] }, { "ob_id": 39206, "uuid": "0d57b149115a4f8298cc7e644956a38d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/spm/spm_05/v20221116", "numberOfFiles": 15, "volume": 35756500, "fileFormat": "net-CDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39205, "uuid": "1b91153925dd474387bb696d59adbd15", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.5 (v20221116)", "abstract": "Data for Figure SPM.5 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.5 shows changes in annual mean surface temperatures, precipitation, and total column soil moisture.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels with 11 maps. All data is provided, except for panel a1.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n\r\n- Annual mean temperature change (°C) (relative to 1850-1900)\r\n- Annual mean precipitation change (%) (relative to 1850-1900)\r\n- Annual mean soil moisture change (standard deviation of interannual variability) (relative to 1850-1900)\r\n\r\nThe data is given for global warming levels (GWLs), namely +1.0°C (temperature only), +1.5°C, 2.0°C, and +4.0°C.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nPanel a:\r\n- Data file: Panel_a2_Simulated_temperature_change_at_1C.nc, simulated annual mean temperature change (°C) at 1°C global warming relative to 1850-1900 (right).\r\n\r\nPanel b:\r\n- Data file: Panel_b1_Simulated_temperature_change_at_1_5C.nc, simulated annual mean temperature change (°C) at 1.5°C global warming relative to 1850-1900 (left).\r\n- Data file: Panel_b2_Simulated_temperature_change_at_2C.nc, simulated annual mean temperature change (°C) at 2.0°C global warming relative to 1850-1900 (center).\r\n- Data file: Panel_b3_Simulated_temperature_change_at_4C.nc, simulated annual mean temperature change (°C) at 4.0°C global warming relative to 1850-1900 (right).\r\n\r\nPanel c:\r\n- Data file: Panel_c1_Simulated_precipitation_change_at_1_5C.nc, simulated annual mean precipitation change (%) at 1.5°C global warming relative to 1850-1900 (left).\r\n- Data file: Panel_c2_Simulated_precipitation_change_at_2C.nc, simulated annual mean precipitation change (%) at 2.0°C global warming relative to 1850-1900 (center).\r\n- Data file: Panel_c3_Simulated_precipitation_change_at_4C.nc, simulated annual mean precipitation change (%) at 4.0°C global warming relative to 1850-1900 (right).\r\n\r\nPanel d:\r\n- Data file: Figure_SPM5_d1_cmip6_SM_tot_change_at_1_5C.nc, simulated annual mean total column soil moisture change (standard deviation) at 1.5°C global warming relative to 1850-1900 (left).\r\n- Data file: Figure_SPM5_d2_cmip6_SM_tot_change_at_2C.nc, simulated annual mean total column soil moisture change (standard deviation) at 2.0°C global warming relative to 1850-1900 (center).\r\n- Data file: Figure_SPM5_d3_cmip6_SM_tot_change_at_4C.nc, simulated annual mean total column soil moisture change (standard deviation) at 4.0°C global warming relative to 1850-1900 (right).\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblink is provided in the Related Documents section of this catalogue record:\r\n- Link to origin of figure (IPCC WG1 Summary for Policy Makers)\r\n- Link to the report webpage, which includes the component containing the figure (Summary for Policymakers), the Technical Summary (Figures TS.3 and TS.5) and the Supplementary Material for Chapters 1, 4 and 11, which contains details on the input data used in Tables 1.SM.1 (Figure 1.14), 4.SM.1 (Figures 4.31 and 4.32) and 11.SM.9 (Figure 11.19).\r\n- Link to the figure on the IPCC AR6 website" }, "onlineresource_set": [] }, { "ob_id": 39210, "uuid": "e9505866319e42c1afc5508868b2c88a", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CH4_S5P_WFMD/v1.5/", "numberOfFiles": 1107, "volume": 66233652133, "fileFormat": "Data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 38312, "uuid": "0f51318b226546c3a13e7d8a1451bbd3", "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 1.5, November 2017 - December 2020", "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 1.5, and covers the period from November 2017 - December 2020. \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., Reuter, M., Bovensmann, H., Burrows, J. P., Borsdorff, T., Deutscher, N. M., Feist, D. G., Griffith, D. W. T., Hase, F., Hermans, C., Iraci, L. T., Kivi, R., Landgraf, J., Morino, I., Notholt, J., Petri, C., Pollard, D. F., Roche, S., Shiomi, K., Strong, K., Sussmann, R., Velazco, V. A., Warneke, T., and Wunch, D.: A scientific algorithm to simultaneously retrieve carbon monoxide and methane from TROPOMI onboard Sentinel-5 Precursor, Atmos. Meas. Tech., 12, 6771–6802, https://doi.org/10.5194/amt-12-6771-2019, 2019." }, "onlineresource_set": [] }, { "ob_id": 39214, "uuid": "0bbcba4aa66c40a58d9db5fe8f70bf55", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig06/v20220119", "numberOfFiles": 4, "volume": 19801, "fileFormat": "csv", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 34654, "uuid": "39786f1e6fe2495291558cdc2a0b0aa1", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.6 (v20220119)", "abstract": "Data for Figure 2.6 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.6 shows globally averaged atmospheric mixing ratios of ozone-depleting substances and greenhouse gases.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels with data provided for all panels in one single file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Each panel contains atmospheric mixing ratios for select greenhouse gases and/or ozone-depleting substances derived from atmospheric observations and historical compilations from 1950-2019, plotted as the annual mean for each year.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n \r\n - Datafile: Data_Figure_2_6.csv, column 20, black line.\r\n - Datafile: Data_Figure_2_6.csv, column 21, blue line.\r\n - Datafile: Data_Figure_2_6.csv, column 26, grey line.\r\n - Datafile: Data_Figure_2_6.csv, column 27, brown line.\r\n - Datafile: Data_Figure_2_6.csv, column 22, turquoise line.\r\n\r\n\r\nPanel b:\r\n \r\n - Datafile: Data_Figure_2_6.csv, column 23, black line.\r\n - Datafile: Data_Figure_2_6.csv, column 2, red line.\r\n - Datafile: Data_Figure_2_6.csv, column 33, turquoise line.\r\n - Datafile: Data_Figure_2_6.csv, column 34, grey line.\r\n - Datafile: Data_Figure_2_6.csv, column 28, violet line.\r\n\r\n\r\nPanel c:\r\n \r\n - Datafile: Data_Figure_2_6.csv, column 24, red line.\r\n - Datafile: Data_Figure_2_6.csv, column 25, cyan line.\r\n - Datafile: Data_Figure_2_6.csv, column 32, black line.\r\n - Datafile: Data_Figure_2_6.csv, column 14, brown line.\r\n - Datafile: Data_Figure_2_6.csv, column 15, orange line.\r\n - Datafile: Data_Figure_2_6.csv, column 13, grey line.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data.\r\n ---------------------------------------------------\r\n Some mixing ratios of multiple species were summed for clarity (see Figure caption for details). The summations are included in the data file. Dichloromethane (CH2Cl2) data were smoothed by applying a 3-yr moving average.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1" }, "onlineresource_set": [] }, { "ob_id": 39215, "uuid": "187f8aefaf6a409a9c84eb54db5ef966", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig13/v20211126", "numberOfFiles": 4, "volume": 10455, "fileFormat": "csv", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 33342, "uuid": "967313bee45c48998c5027896e3da53c", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.13 (v20211126)", "abstract": "Data for Figure 2.13 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.13 shows the global trends in surface specific humidity and surface relative humidity over 1973 - 2019\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for panel (b) and (d) in one single file (qrh2.csv). Code for plotting panels (a) and (c) is archived on zenodo and a link is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains time-series of observed global average surface specific and relative humidity during 1973-2019\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel b. Global average surface specific humidity annual anomalies (1981–2010 base period):\r\n \r\n - Data file: qrh2.csv - column 2 cyan solid line\r\n - Data file: qrh2.csv - column 3 orange solid line\r\n - Data file: qrh2.csv - column 4 blue solid line\r\n - Data file: qrh2.csv - column 5 black solid line\r\n\r\n\r\nPanel d. Global average surface relative humidity annual anomalies (1981–2010 base period):\r\n - Data file: qrh2.csv - column 7 cyan solid line\r\n - Data file: qrh2.csv - column 8 orange solid line\r\n - Data file: qrh2.csv - column 9 blue solid line\r\n - Data file: qrh2.csv - column 10 black solid line\r\n\r\nRH stands for relative humidity.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2).\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1.\r\n - Link to input data figure 2.13.\r\n - Link to the code for the figure, archived on Zenodo." }, "onlineresource_set": [] }, { "ob_id": 39216, "uuid": "99aa4c7e94ad4c12994f722d41fac2d8", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig14/v20211126", "numberOfFiles": 4, "volume": 6944, "fileFormat": "CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 33345, "uuid": "de41130346a04f97879352525d890577", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.14 (v20211126)", "abstract": "Data for Figure 2.14 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.14 provides global average time series of total column water vapour anomalies for a variety of data sources\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset cointains time series of global averaged total column water vapour anomalies from 1979-2019 for observations and reanalyses\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file: tcwv6.csv:\r\n \r\n - Column 2: cyan solid line\r\n - Column 3: orange solid line\r\n - Column 4: black solid line\r\n - Column 5: green solid line\r\n - Column 6: cyan dotted line\r\n - Column 7: blue line\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, "onlineresource_set": [] }, { "ob_id": 39217, "uuid": "6293b959a11f45f5ac5f6b0a9f46079f", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig15/v20211126", "numberOfFiles": 4, "volume": 15230, "fileFormat": "CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 33350, "uuid": "70276cf6b04e4b638b4fe9b37f7651dd", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.15 (v20211126)", "abstract": "Data for Figure 2.15 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.15 provides global precipitation trend maps and time series for a variety of data sources.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for panel c (precipglobalavedata2019_4.csv). Code for plotting all panels is archived on zenodo and a link is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains observed global precipitation data from a variety of sources covering the period 1891-2019.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel c:\r\n \r\n - Data file precipglobalavedata2019_4.csv: column 2 orange solid line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 3 cyan solid line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 4 black solid line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 5 black dotted line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 7 orange solid line (lower panel)\r\n - Data file precipglobalavedata2019_4.csv: column 8 cyan solid line (lower panel)\r\n - Data file precipglobalavedata2019_4.csv: column 9 black solid line (lower panel)\r\n - Data file precipglobalavedata2019_4.csv: column 10 black dotted line (lower panel)\r\n\r\nGCPP stands for the Global Precipitation Climatology Centre.\r\nCRU TS stands for Climatic Research Unit Timeseries.\r\nGPCP stands for the Global Precipitation Climatology Project.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2).\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1.\r\n - Link to input data figure 2.15.\r\n - Link to the code for the figure, archived on Zenodo." }, "onlineresource_set": [] }, { "ob_id": 39218, "uuid": "ae004997a8b54fcd8143493a5eb2cea4", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig17/v20211203", "numberOfFiles": 5, "volume": 14412, "fileFormat": "CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 33390, "uuid": "b51b72736ff943bb830e3c241d032621", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.17 (v20211203)", "abstract": "Data for Figure 2.17 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.17 shows temporal evolution of the Hadley Cell extent and intensity since 1979 from a variety of reanalyses.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains the annual average of Northern Hemisphere and Southern Hemisphere latitude of the Hadley Cell edge, as well as the intensity of the Hadley Cell for each hemisphere\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n \r\n - Data file: HCextent_2.csv, column 2 cyan line, upper panel\r\n - Data file: HCextent_2.csv, column 3 orange line, upper panel\r\n - Data file: HCextent_2.csv, column 4 grey line, upper panel\r\n - Data file: HCextent_2.csv, column 5 black line, upper panel\r\n - Data file: HCextent_2.csv, column 6 cyan line, lower panel\r\n - Data file: HCextent_2.csv, column 7 orange line, lower panel\r\n - Data file: HCextent_2.csv, column 8 grey line, lower panel\r\n - Data file: HCextent_2.csv, column 9 black line, lower panel\r\n\r\n\r\nPanel b:\r\n \r\n - Data file: HCintensity_2.csv, column 2 cyan line, upper panel\r\n - Data file: HCintensity_2.csv, column 3 orange line, upper panel\r\n - Data file: HCintensity_2.csv, column 4 grey line, upper panel\r\n - Data file: HCintensity_2.csv, column 5 black line, upper panel\r\n - Data file: HCintensity_2.csv, column 6 cyan line, lower panel\r\n - Data file: HCintensity_2.csv, column 7 orange line, lower panel\r\n - Data file: HCintensity_2.csv, column 8 grey line, lower panel\r\n - Data file: HCintensity_2.csv, column 9 black line, lower panel\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, "onlineresource_set": [] }, { "ob_id": 39219, "uuid": "6f316e68b297490fb5edfb4fac5c5707", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig22/v20211109", "numberOfFiles": 4, "volume": 9927, "fileFormat": "CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 33296, "uuid": "8bbebd486eed4b7392dd306462e3f724", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.22 (v20211109)", "abstract": "Data for Figure 2.22 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.22 shows the April snow cover extent (SCE) for the Northern Hemisphere over the 1922-2018 period.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains Northern Hemisphere April snow cover extent (SCE) time series from 1922-2018 for:\r\n \r\n - Observed SCE (1922-1991) from Brown (2000)\r\n - Blended Multi-observation SCE dataset (1967-2018) from Mudryk et al. (2020)\r\n - Upper and lower boundary for uncertainty range for each time series\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.22\r\n Data file: Apr_snow_cover_extent_SCE.csv; (yearly data) relates to data for blue line (Brown 2000) and red line (Multi-obs Mudryk et al. 2020) and the upper and lower boundaries for uncertainty range (shaded area) for each time series\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n- Link to the figure on the IPCC AR6 website\r\n- Link to the report component containing the figure (Chapter 2)\r\n- Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1" }, "onlineresource_set": [] }, { "ob_id": 39220, "uuid": "e41ce396e324468080c4c5009be0f286", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ar6_wg1/data/ch_02/ch2_fig25/v20211005", "numberOfFiles": 4, "volume": 5874, "fileFormat": "BADC-CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 33207, "uuid": "0e80e12edb7e4dc9b9219df77c0fe9d6", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.25 (v20211005)", "abstract": "Data for Figure 2.25 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.25 shows changes in permafrost temperature for 4 Arctic regions over the period 1974-2019 shown as average departures from the International Polar Year (2007-2009) baseline.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains regional average departures (anomalies) of observed permafrost temperature relative to International Polar Year (2007-20909) baseline from 1974-2019 for 4 regions as defined in Romanovsky et al. (2017):\r\n \r\n - Permafrost temperature Barents region (1974-2019)\r\n - Permafrost temperature Baffin Bay Davis Strait region (1979-2019)\r\n - Permafrost temperature anomaly Beaufort-Chukchi Sea region (1978-2019)\r\n - Permafrost temperature Interior Alaska and Central Mackenzie Valley NWT (1983-2019)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.25\r\n Data file: Arctic_permafrost_temperature_anomaly.csv; (annual data, average regional anomalies) relates to green line (Barents), purple line (Baffin), blue line (Beaufort-Chukchi) and red line (Interior Alaska and Central Mackenzie Valley)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to input data figure 2.25." }, "onlineresource_set": [] }, { "ob_id": 39224, "uuid": "4732098a6247414ca0106304b8eccf05", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NIES/CCSRNIES-MIROC32/refD1", "numberOfFiles": 838, "volume": 481094622619, "fileFormat": "net-CDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39223, "uuid": "4262e08336404147878b3adeb4e68950", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the CCSR-NIES MIROC3.2 model at NIES", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the CCSR-NIES MIROC3.2 model run by the modelling team at NIES (National Institute for Environmental Studies) in Japan.\r\n\r\nThe refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39230, "uuid": "afed58c641f14b9090cc5922a7dddf2f", "short_code": "result", "curationCategory": "", "dataPath": "/badc/glocaem/data/syowa-high/", "numberOfFiles": 4957, "volume": 7237883150, "fileFormat": "Data are BADC-CSV format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25039, "uuid": "d17164eb534846dcb00c3b76e8156246", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Syowa Station (10m pole), East Ongul Island, Antarctica", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Boltek EFM 100 Instrument mounted on a 10m pole and operated by the National Institute of Polar Research and Japan Meteorological Agency at Syowa Station, East Ongul Island, Antarctica." }, "onlineresource_set": [] }, { "ob_id": 39235, "uuid": "ddff093c26eb454a929b03e8108100bb", "short_code": "result", "curationCategory": "", "dataPath": "/badc/glocaem/data/syowa-low", "numberOfFiles": 5013, "volume": 7292741653, "fileFormat": "Data are BADC-CSV format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39234, "uuid": "a1166f1c71b4402a8948daa5c3bd8aa4", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Syowa Station (1.4m pole), East Ongul Island, Antarctica", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Boltek EFM 100 Instrument mounted at 1.4 m height on a metal pole and operated by the National Institute of Polar Research and Japan Meteorological Agency at Syowa Station, East Ongul Island, Antarctica." }, "onlineresource_set": [] }, { "ob_id": 39237, "uuid": "328f6784186a43d5973db695bbbef708", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/CMIP/E3SM-Project/E3SM-2-0/abrupt-4xCO2", "numberOfFiles": 72, "volume": 30237499751, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39236, "uuid": "4638e11ba7434dc188928aab0f4b0a53", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-2-0 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-2-0 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL)." }, "onlineresource_set": [] }, { "ob_id": 39241, "uuid": "8a98d8ba622d49f7b71eacdc9815412f", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/CMIP/E3SM-Project/E3SM-2-0/piControl", "numberOfFiles": 71, "volume": 9056596395, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39240, "uuid": "d63aaeda6e34414b9e81bb56d3fa6566", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-2-0 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-2-0 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL)." }, "onlineresource_set": [] }, { "ob_id": 39244, "uuid": "c579abfc4a7f488fb2684c24bf9a2c95", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/DCPP/EC-Earth-Consortium/EC-Earth3-HR/dcppA-hindcast", "numberOfFiles": 1801, "volume": 29637529823, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39243, "uuid": "ec1c175dee2048aba0e1a4af779576da", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-HR model output for the \"dcppA-hindcast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-HR model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: s1990-r10i2p1f1, s1990-r1i2p1f1, s1990-r2i2p1f1, s1990-r3i2p1f1, s1990-r4i2p1f1, s1990-r5i2p1f1, s1990-r6i2p1f1, s1990-r7i2p1f1, s1990-r8i2p1f1, s1990-r9i2p1f1, s1991-r10i2p1f1, s1991-r1i2p1f1, s1991-r2i2p1f1, s1991-r3i2p1f1, s1991-r4i2p1f1, s1991-r5i2p1f1, s1991-r6i2p1f1, s1991-r7i2p1f1, s1991-r8i2p1f1, s1991-r9i2p1f1, s1992-r10i2p1f1, s1992-r1i2p1f1, s1992-r2i2p1f1, s1992-r3i2p1f1, s1992-r4i2p1f1, s1992-r5i2p1f1, s1992-r6i2p1f1, s1992-r7i2p1f1, s1992-r8i2p1f1, s1992-r9i2p1f1, s1993-r10i2p1f1, s1993-r1i2p1f1, s1993-r2i2p1f1, s1993-r3i2p1f1, s1993-r4i2p1f1, s1993-r5i2p1f1, s1993-r6i2p1f1, s1993-r7i2p1f1, s1993-r8i2p1f1, s1993-r9i2p1f1, s1994-r10i2p1f1, s1994-r1i2p1f1, s1994-r2i2p1f1, s1994-r3i2p1f1, s1994-r4i2p1f1, s1994-r5i2p1f1, s1994-r6i2p1f1, s1994-r7i2p1f1, s1994-r8i2p1f1, s1994-r9i2p1f1, s1995-r10i2p1f1, s1995-r1i2p1f1, s1995-r2i2p1f1, s1995-r3i2p1f1, s1995-r4i2p1f1, s1995-r5i2p1f1, s1995-r6i2p1f1, s1995-r7i2p1f1, s1995-r8i2p1f1, s1995-r9i2p1f1, s1996-r10i2p1f1, s1996-r1i2p1f1, s1996-r2i2p1f1, s1996-r3i2p1f1, s1996-r4i2p1f1, s1996-r5i2p1f1, s1996-r6i2p1f1, s1996-r7i2p1f1, s1996-r8i2p1f1, s1996-r9i2p1f1, s1997-r10i2p1f1, s1997-r1i2p1f1, s1997-r2i2p1f1, s1997-r3i2p1f1, s1997-r4i2p1f1, s1997-r5i2p1f1, s1997-r6i2p1f1, s1997-r7i2p1f1, s1997-r8i2p1f1, s1997-r9i2p1f1, s1998-r10i2p1f1, s1998-r1i2p1f1, s1998-r2i2p1f1, s1998-r3i2p1f1, s1998-r4i2p1f1, s1998-r5i2p1f1, s1998-r6i2p1f1, s1998-r7i2p1f1, s1998-r8i2p1f1, s1998-r9i2p1f1, s1999-r10i2p1f1, s1999-r1i2p1f1, s1999-r2i2p1f1, s1999-r3i2p1f1, s1999-r4i2p1f1, s1999-r5i2p1f1, s1999-r6i2p1f1, s1999-r7i2p1f1, s1999-r8i2p1f1, s1999-r9i2p1f1, s2000-r10i2p1f1, s2000-r1i2p1f1, s2000-r2i2p1f1, s2000-r3i2p1f1, s2000-r4i2p1f1, s2000-r5i2p1f1, s2000-r6i2p1f1, s2000-r7i2p1f1, s2000-r8i2p1f1, s2000-r9i2p1f1, s2001-r10i2p1f1, s2001-r1i2p1f1, s2001-r2i2p1f1, s2001-r3i2p1f1, s2001-r4i2p1f1, s2001-r5i2p1f1, s2001-r6i2p1f1, s2001-r7i2p1f1, s2001-r8i2p1f1, s2001-r9i2p1f1, s2002-r10i2p1f1, s2002-r1i2p1f1, s2002-r2i2p1f1, s2002-r3i2p1f1, s2002-r4i2p1f1, s2002-r5i2p1f1, s2002-r6i2p1f1, s2002-r7i2p1f1, s2002-r8i2p1f1, s2002-r9i2p1f1, s2003-r10i2p1f1, s2003-r1i2p1f1, s2003-r2i2p1f1, s2003-r3i2p1f1, s2003-r4i2p1f1, s2003-r5i2p1f1, s2003-r6i2p1f1, s2003-r7i2p1f1, s2003-r8i2p1f1, s2003-r9i2p1f1, s2004-r10i2p1f1, s2004-r1i2p1f1, s2004-r2i2p1f1, s2004-r3i2p1f1, s2004-r4i2p1f1, s2004-r5i2p1f1, s2004-r6i2p1f1, s2004-r7i2p1f1, s2004-r8i2p1f1 and s2004-r9i2p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." }, "onlineresource_set": [] }, { "ob_id": 39248, "uuid": "f899586f77c84f64a14ba55a31464b49", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NIES/CCSRNIES-MIROC32/refD2", "numberOfFiles": 213, "volume": 250596883383, "fileFormat": "net-CDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39247, "uuid": "044f469131c34be9adb1f646492c5155", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the CCSR-NIES MIROC3.2 model at NIES", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the CCSR-NIES MIROC3.2 model run by the modelling team at NIES (National Institute for Environmental Studies) in Japan.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39250, "uuid": "8cff3acf8412496990081d1d99d20694", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NIES/CCSRNIES-MIROC32/senD2-ssp370/", "numberOfFiles": 213, "volume": 250596884238, "fileFormat": "net-CDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39249, "uuid": "d94d9e4a0f874083a426fdd32d730f1d", "short_code": "ob", "title": "CCMI-2022: senD2-ssp370 data produced by the CCSR-NIES MIROC3.2 model at NIES", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-ssp370 produced by the CCSR-NIES MIROC3.2 model run by the modelling team at NIES (National Institute for Environmental Studies) in Japan.\r\n\r\nExperiment senD2-ssp370 is a future projection with specified forcings largely following the same specifications as for the SSP3-7.0 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6). Ozone Depleting Substances (ODSs) are specified by the WMO(2018) baseline scenario.\r\n\r\nSSP3-7.0 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP3 with high climate change mitigation and adaptation challenges, and climate forcing pathway RCP7.0 which leads to a radiative forcing of 7.0 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018\r\nMPI-ESM1-2-LR is a Max Planck Institute Earth System Model with a 1.5 degree resolution in the ocean.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project – Report No. 58, 588 pp., Geneva, Switzerland, 2018.\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39252, "uuid": "dc454c52db8b4209b4e2661dff0e8f50", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/DCPP/MOHC/HadGEM3-GC31-MM/dcppA-hindcast", "numberOfFiles": 438964, "volume": 77853770613852, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39251, "uuid": "3fe603efac3646a2a2aa0a1513a3833a", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"dcppA-hindcast\" 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-MM model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequencies: AERday, Amon, Eday, Omon, SImon and day. The runs included the ensemble members: s1960-r10i1p1f2, s1960-r1i1p1f2, s1960-r2i1p1f2, s1960-r3i1p1f2, s1960-r4i1p1f2, s1960-r5i1p1f2, s1960-r6i1p1f2, s1960-r7i1p1f2, s1960-r8i1p1f2, s1960-r9i1p1f2, s1961-r10i1p1f2, s1961-r1i1p1f2, s1961-r2i1p1f2, s1961-r3i1p1f2, s1961-r4i1p1f2, s1961-r5i1p1f2, s1961-r6i1p1f2, s1961-r7i1p1f2, s1961-r8i1p1f2, s1961-r9i1p1f2, s1962-r10i1p1f2, s1962-r1i1p1f2, s1962-r2i1p1f2, s1962-r3i1p1f2, s1962-r4i1p1f2, s1962-r5i1p1f2, s1962-r6i1p1f2, s1962-r7i1p1f2, s1962-r8i1p1f2, s1962-r9i1p1f2, s1963-r10i1p1f2, s1963-r1i1p1f2, s1963-r2i1p1f2, s1963-r3i1p1f2, s1963-r4i1p1f2, s1963-r5i1p1f2, s1963-r6i1p1f2, s1963-r7i1p1f2, s1963-r8i1p1f2, s1963-r9i1p1f2, s1964-r10i1p1f2, s1964-r1i1p1f2, s1964-r2i1p1f2, s1964-r3i1p1f2, s1964-r4i1p1f2, s1964-r5i1p1f2, s1964-r6i1p1f2, s1964-r7i1p1f2, s1964-r8i1p1f2, s1964-r9i1p1f2, s1965-r10i1p1f2, s1965-r1i1p1f2, s1965-r2i1p1f2, s1965-r3i1p1f2, s1965-r4i1p1f2, s1965-r5i1p1f2, s1965-r6i1p1f2, s1965-r7i1p1f2, s1965-r8i1p1f2, s1965-r9i1p1f2, s1966-r10i1p1f2, s1966-r1i1p1f2, s1966-r2i1p1f2, s1966-r3i1p1f2, s1966-r4i1p1f2, s1966-r5i1p1f2, s1966-r6i1p1f2, s1966-r7i1p1f2, s1966-r8i1p1f2, s1966-r9i1p1f2, s1967-r10i1p1f2, s1967-r1i1p1f2, s1967-r2i1p1f2, s1967-r3i1p1f2, s1967-r4i1p1f2, s1967-r5i1p1f2, s1967-r6i1p1f2, s1967-r7i1p1f2, s1967-r8i1p1f2, s1967-r9i1p1f2, s1968-r10i1p1f2, s1968-r1i1p1f2, s1968-r2i1p1f2, s1968-r3i1p1f2, s1968-r4i1p1f2, s1968-r5i1p1f2, s1968-r6i1p1f2, s1968-r7i1p1f2, s1968-r8i1p1f2, s1968-r9i1p1f2, s1969-r10i1p1f2, s1969-r1i1p1f2, s1969-r2i1p1f2, s1969-r3i1p1f2, s1969-r4i1p1f2, s1969-r5i1p1f2, s1969-r6i1p1f2, s1969-r7i1p1f2, s1969-r8i1p1f2, s1969-r9i1p1f2, s1970-r10i1p1f2, s1970-r1i1p1f2, s1970-r2i1p1f2, s1970-r3i1p1f2, s1970-r4i1p1f2, s1970-r5i1p1f2, s1970-r6i1p1f2, s1970-r7i1p1f2, s1970-r8i1p1f2, s1970-r9i1p1f2, s1971-r10i1p1f2, s1971-r1i1p1f2, s1971-r2i1p1f2, s1971-r3i1p1f2, s1971-r4i1p1f2, s1971-r5i1p1f2, s1971-r6i1p1f2, s1971-r7i1p1f2, s1971-r8i1p1f2, s1971-r9i1p1f2, s1972-r10i1p1f2, 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"uuid": "67e9ff43b39742cbab26f871d68326f6", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/LUMIP/MIROC/MIROC-ES2L/ssp370-ssp126Lu", "numberOfFiles": 5, "volume": 334408398, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39254, "uuid": "6c1c14bfec594b2ba6059e0cdd60a973", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp370-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"SSP3-7.0 with SSP1-2.6 land use\" (ssp370-ssp126Lu) experiment. These are available at the following frequencies: Omon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39258, "uuid": "7ea49602596245319611c96648bc9ff2", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/C4MIP/MIROC/MIROC-ES2L/esm-1pct-brch-1000PgC", "numberOfFiles": 9, "volume": 1051712253, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39257, "uuid": "ce2f69ecfc224e94bc70d60bd08ebb23", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-1pct-brch-1000PgC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"zero emissions simulation branched from 1% run after 1000 PgC cumulative emission\" (esm-1pct-brch-1000PgC) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39261, "uuid": "d9aec8311a674a8cb73ec7db078979b7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/C4MIP/MIROC/MIROC-ES2L/esm-1pct-brch-2000PgC", "numberOfFiles": 9, "volume": 877870116, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39260, "uuid": "5c1652e39f5b45aba3fcd49eb268ea99", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-1pct-brch-2000PgC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"zero emissions simulation branched from 1% run after 2000 PgC cumulative emission\" (esm-1pct-brch-2000PgC) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39264, "uuid": "2c3b5d2dc1414acfb57d50e27783b929", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/C4MIP/MIROC/MIROC-ES2L/esm-1pctCO2", "numberOfFiles": 5, "volume": 633749139, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39263, "uuid": "4b8808ddde7f4185bdcaa8fc750a61b0", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"emissions driven 1% run\" (esm-1pctCO2) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39267, "uuid": "247425ec9d49405ca06fc37585fca1b4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/CDRMIP/MIROC/MIROC-ES2L/esm-pi-CO2pulse", "numberOfFiles": 9, "volume": 1021041533, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39266, "uuid": "f9fabd57792e47428102abdee3819ecc", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-pi-CO2pulse\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"pulse addition of 100 Gt carbon to pre-industrial atmosphere\" (esm-pi-CO2pulse) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39270, "uuid": "120630c171aa4010919567e53896e4d8", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NIES/CCSRNIES-MIROC32/senD2-ssp126/", "numberOfFiles": 213, "volume": 250596884238, "fileFormat": "net-CDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39269, "uuid": "541153fcb3c84b90aea4183b82dde8c2", "short_code": "ob", "title": "CCMI-2022: senD2-ssp126 data produced by the CCSR-NIES MIROC3.2 model at NIES", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-ssp126 produced by the CCSR-NIES MIROC3.2 model run by the modelling team at NIES (National Institute for Environmental Studies) in Japan.\r\n\r\nExperiment senD2-ssp126 is a future projection with specified forcings largely following the same specifications as for the SSP1-2.6 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6). Ozone Depleting Substances (ODSs) are specified by the WMO(2018) baseline scenario.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\nSSP1-2.6 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP1 with low climate change mitigation and adaptation challenges, and climate forcing pathway RCP2.6 which leads to a radiative forcing of 2.6 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\nMPI-ESM1-2-LR is a Max Planck Institute Earth System Model with a 1.5 degree resolution in the ocean.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project – Report No. 58, 588 pp., Geneva, Switzerland, 2018.\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39272, "uuid": "05d24e8b996e408387cd99b5c6f12c89", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/ScenarioMIP/MOHC/UKESM1-0-LL/ssp585", "numberOfFiles": 10587, "volume": 19822161616321, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39271, "uuid": "51da84bd63a247f49763d048754d4baf", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2 and r8i1p1f2.\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": 39275, "uuid": "08c54672dd0c4ae8ac377f9f8dc81942", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/VolMIP/MIROC/MIROC-ES2L/volc-pinatubo-full", "numberOfFiles": 9, "volume": 31687554, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39274, "uuid": "b780a70e91484dd7b2fe2a2949a9ac8e", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"volc-pinatubo-full\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"Pinatubo experiment\" (volc-pinatubo-full) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p1f2 and r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39278, "uuid": "04215e2dc85d4a6792b39299df2213fa", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/CSIRO/ACCESS-CM2-Chem/refD2", "numberOfFiles": 365, "volume": 228105906714, "fileFormat": "net-CDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39277, "uuid": "c846354527ed4901a09d06baffa54ae2", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the ACCESS-CM2-Chem model at CSIRO", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the ACCESS-CM2-Chem chemistry-climate model run by the modelling team at the CSIRO (Commonwealth Scientific and Industrial Research Organisation) ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39283, "uuid": "02d6a0c2adf4429d827b5a973f63e800", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/ScenarioMIP/MOHC/UKESM1-0-LL/ssp370", "numberOfFiles": 23259, "volume": 32098704934293, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39282, "uuid": "f7a042feee7245a691d413f2c1381c22", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-0-LL model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, AERday, AERhr, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, "onlineresource_set": [] }, { "ob_id": 39286, "uuid": "e4b59e7fd4fd401189852432da120ad4", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CH4_GO2_SRPR/v2.0/", "numberOfFiles": 543, "volume": 792060498, "fileFormat": "Data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 38313, "uuid": "6ecb706ac16c4e05aab75ed2cc3ec119", "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 2.0.0", "abstract": "This dataset contains column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations - Fourier Transform Spectrometer-2 (TANSO-FTS-2) Near Infrared (NIR) and Shortwave Infrared (SWIR) spectra, 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": 39287, "uuid": "617bf90d0d6647ae866b08516049ca4a", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CH4_GO2_SRFP/v2.0/", "numberOfFiles": 542, "volume": 1058523623, "fileFormat": "Data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 38314, "uuid": "c8037223dfff49db9fcdd8a9f6dd8d41", "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 2.0.0", "abstract": "This dataset contains column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations - Fourier Transform Spectrometer-2 (TANSO-FTS-2) Near Infrared (NIR) and Shortwave Infrared (SWIR) spectra, 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": 39288, "uuid": "7a0a028e799b425eb190c91c3e449512", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CO2_GO2_SRFP/v2.0/", "numberOfFiles": 542, "volume": 1058550128, "fileFormat": "Data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 38315, "uuid": "169c76a05fa247eebc5ee53f239871a7", "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 2.0.0", "abstract": "This dataset contains column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations - Fourier Transform Spectrometer-2 (TANSO-FTS-2) Near Infrared (NIR) and Shortwave Infrared (SWIR) spectra, 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": 39308, "uuid": "40580ca1ad8e439f84a4d5f580fffaf1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2022/arise/data", "numberOfFiles": 4974, "volume": 2630015458598, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39307, "uuid": "26b89d8d76bd40bfbaf9fedfa383e9cf", "short_code": "ob", "title": "UKESM1 ARISE-SAI climate simulations", "abstract": "The UKESM1 ARISE experiment explores the impacts of geoengineering via the injection of sulphur dioxide (SO2) into the stratosphere. The injections occur at four different latitudes: 15 degrees N & S and 30 degrees N & S, at an altitude of approximately 20 km.\r\n\r\nThe simulations are based on the medium-emissions CMIP6 scenario ssp245 and cover the years 2035 to 2070. They form a 5-member ensemble with initial conditions taken from the corresponding five members of the ssp245 simulations upon which they were based." }, "onlineresource_set": [] }, { "ob_id": 39324, "uuid": "5783a9d6541b4b3c9c3d1b97cd645d46", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/uol_gosat_sif/data/v3.0/L2/", "numberOfFiles": 0, "volume": 0, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 39325, "uuid": "f53c1604111548b19b500a30e76b3ec3", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/uol_gosat_sif/data/v3.0/", "numberOfFiles": 5320, "volume": 2905224115, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39323, "uuid": "edd6991e06024f7d9ee06460ec7cd7f6", "short_code": "ob", "title": "Solar-induced Chlorophyll Fluorescence from GOSAT's TANSO-FTS by the University of Leicester (v3.0)", "abstract": "Solar-induced Chlorophyll Fluorescence (SIF) data created from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using an adapted version of the University of Leicester Full-Physics retrieval scheme (UoL-FP). These dataset contains both Level 2 and Level 3 S-polarised SIF. The Level 2 data are in daily files and are not averaged, whilst the Level 3 data are averaged spatially and temporally on both a monthly and weekly timescale.\r\n\r\nThe SIF data was derived from L1B data from the TANSO-FTS ( Thermal and Near Infrared Sensor for carbon Observation - Fourier Transform Spectrometer) instrument on the GOSAT satellite. For each GOSAT sounding, the S-polarised spectra have been extracted from two narrow micro-windows outside the Oxygen A-band, at around 755 nm and 772 nm. For more information on the retrieval setup and bias correction, please see \"Novel Methods for Atmospheric Carbon Dioxide Retrieval from the JAXA GOSAT and NASA OCO-2 Satellites - Part II: Remote Sensing of Chlorophyll Fluorescence\" by Peter Somkuti." }, "onlineresource_set": [] }, { "ob_id": 39327, "uuid": "9fbedf3a79f945ccaeadd70cbb7591a3", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/LUMIP/MIROC/MIROC-ES2L/deforest-globe", "numberOfFiles": 5, "volume": 634867782, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39326, "uuid": "9680812ea2024bf3b9d7ea81443cb768", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"deforest-globe\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"idealized transient global deforestation\" (deforest-globe) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39330, "uuid": "5afcb0239d1b4ca584655aa355017d68", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/LUMIP/MIROC/MIROC-ES2L/esm-ssp585-ssp126Lu", "numberOfFiles": 5, "volume": 363473368, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39329, "uuid": "39229329653949169f7fad906118376a", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"esm-ssp585-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"emissions-driven SSP5-8.5 with SSP1-2.6 land use\" (esm-ssp585-ssp126Lu) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39333, "uuid": "b41803bb2598449f8e6d99233af3d190", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/LUMIP/MIROC/MIROC-ES2L/hist-noLu", "numberOfFiles": 5, "volume": 699095622, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39332, "uuid": "233ea8a2c38a4998803da96589ee0a9d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"hist-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"historical with no land-use change\" (hist-noLu) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39336, "uuid": "620c33657b3b43cb9bff52c0b1abbe95", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/PMIP/MIROC/MIROC-ES2L/past1000", "numberOfFiles": 268, "volume": 363936510636, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39335, "uuid": "536f725eaf3c4e118b197fd8932e741c", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"past1000\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"last millennium\" (past1000) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39339, "uuid": "bb6ee80bf5854c92bcc1c37d38ca7f6e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/VolMIP/MIROC/MIROC-ES2L/volc-pinatubo-strat", "numberOfFiles": 9, "volume": 31711606, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39338, "uuid": "84fd5ae665a14bf897d3c279daef376e", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"volc-pinatubo-strat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"Pinatubo experiment with partial radiative forcing, includes only stratospheric warming\" (volc-pinatubo-strat) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p1f2 and r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39342, "uuid": "06dd7934aacb42c98b76d6ba56134c1c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/VolMIP/MIROC/MIROC-ES2L/volc-pinatubo-surf", "numberOfFiles": 9, "volume": 31668932, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39341, "uuid": "0ee549411aa34a119dc28df12ec4900d", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"volc-pinatubo-surf\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"Pinatubo experiment with partial radiative forcing, solar radiation scattering only\" (volc-pinatubo-surf) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r1i1p1f2 and r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, "onlineresource_set": [] }, { "ob_id": 39344, "uuid": "7a3dc14e4c75454da24ecf721cb82825", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2022/EUCP_UKMO_ETH_MCSs/data", "numberOfFiles": 6, "volume": 143008084, "fileFormat": "BADC-CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39320, "uuid": "f39f0aa295304d55beeb0a850760b061", "short_code": "ob", "title": "Mesoscale convective system tracks, diagnosed from European 2.2km climate model simulations", "abstract": "This dataset contains mesoscale convective systems (MCS) tracks and their summary statistics, diagnosed from the UK Met Office (UKMO) Unified Model and ETH-Zurich (ETHZ) COSMO 2.2km Europe-wide convection permitting model simulations. The simulations are described in Berthou et al (2020) and Brogli et al (2022); they include two ECMWF Interim hindcast simulations (one from each model), two GCM-driven simulations (UM-only, present-climate and end-of-century RCP8.5), and one pseudo-global warming simulation (COSMO-only, end-of-century RCP8.5). The tracks are diagnosed using the DYMECS tracking scheme (Stein et al 2014 and Crook et al 2019). The tracking scheme detects all precipitation objects, but only mesoscale convection systems (MCSs) are sub-selected for analysis; MCSs are defined to be tracks with lifetime peak precipitation exceeding 20 mm/h and lifetime peak area exceeding 1000 squared kilometres. Data are in csv files, and are Python and R readable. These data were produced for the NERC-supported FUTURE-STORMS project (grant number: NE/R01079X/1); the underlying climate simulations were produced for the EU Horizon 2020 project European Climate Prediction System (EUCP) project (grant: 776613)." }, "onlineresource_set": [] }, { "ob_id": 39346, "uuid": "9d51328b802d4891b6b8b6a3f4f0580f", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NCAS-CAMBRIDGE/UKESM1-StratTrop/refD1", "numberOfFiles": 634, "volume": 247522141469, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39345, "uuid": "2b93a4655e2645a898466c4ea9257c0e", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the UKESM1-StratTrop model at NCAS-CAMBRIDGE", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the UKESM1-StratTrop model run by the modelling team at NCAS-CAMBRIDGE (National Centre for Atmospheric Science).\r\n\r\nThe refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39350, "uuid": "c8cd40474a034cd78b58487994e2ac8d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/NASA-GSFC/GEOSCCM/refD1/", "numberOfFiles": 397, "volume": 230088648982, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39349, "uuid": "0689a7f2e0964a7b89e395ee68d7eee5", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the GEOSCCM model at NASA-GSFC", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the GEOSCCM model run by the modelling team at NASA-GSFC (NASA Goddard Space Flight Center) in the USA.\r\n\r\nThe refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30\r\n\r\n- Chemical mechanisms and their applications in the Goddard Earth Observing System (GEOS) earth system model. Nielsen, J. E., Pawson, S., Molod, A., Auer, B., da Silva, A. M., Douglass, A. R., ... Wargan, K. (2017). Journal of Advances in Modeling Earth Systems, 9, 3019–3044. https://doi.org/10.1002/2017MS001011\r\n- Change in tropospheric ozone in the recent decades and its contribution to global total ozone. Liu, J., Strode, S. A., Liang, Q., Oman, L.D., Colarco, P. R., Fleming, E. L., et al. (2022). Journal of Geophysical Research: Atmospheres, 127, e2022JD037170. https://doi.org/10.1029/2022JD037170" }, "onlineresource_set": [] }, { "ob_id": 39353, "uuid": "a01942c0712e4084a10f0ebf058e6571", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/IPSL-LATMOS/IPSL-CM6A-ATM-LR-REPROBUS/refD1/", "numberOfFiles": 447, "volume": 275567542396, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39352, "uuid": "bdd12c0e28f94f3bbdae8bec49399300", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the IPSL-CM6A-ATM-LR-REPROBUS model at IPSL", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the IPSL-CM6A-ATM-LR-REPROBUS model run by the modelling team at IPSL (Institut Pierre Simon Laplace) in Paris.\r\n\r\nThe refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39356, "uuid": "b8517d59f6424b61a9247178887f0363", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/ECCC/CMAM/refD1/", "numberOfFiles": 663, "volume": 153662577269, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39355, "uuid": "3f06d743521f44a5ba8e666e11f66d6b", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the CMAM model at CCCma", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the CMAM model run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis) in the Climate Research Division of Environment and Climate Change Canada.\r\n\r\nThe refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39359, "uuid": "86048f80262c4c27a2119bc820ae7557", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/ECCC/CMAM/refD2/", "numberOfFiles": 568, "volume": 193926390876, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39358, "uuid": "243bc3092b1447ea81008f759d3f0756", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the CMAM model at CCCma", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the CMAM model run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis) in the Climate Research Division of Environment and Climate Change Canada.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39363, "uuid": "770cbede3b7340ebb5bf3820c1728a31", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/DLR/EMAC-CCMI2/refD1", "numberOfFiles": 136, "volume": 92302676870, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39361, "uuid": "9b15ae551fda4035a7940a3adbe31691", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the EMAC-CCMI2 model at MESSy-Consortium", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the EMAC-CCMI2 model run by the MESSy-Consortium (Modular Earth Submodel System) in Germany.\r\n\r\nThe refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39365, "uuid": "98bfe2347c444955a3c046eb1c73970d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/DLR/EMAC-CCMI2/refD2", "numberOfFiles": 582, "volume": 677266999530, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39364, "uuid": "9ed74cb586c54c28b6b7ea4b398cfd8e", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the EMAC-CCMI2 model at MESSy-Consortium", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the EMAC-CCMI2 model run by the MESSy-Consortium (Modular Earth Submodel System) in Germany.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39367, "uuid": "be600c95054542de95e929fde049ee0b", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/CNRM-CERFACS/CNRM-MOCAGE/refD1", "numberOfFiles": 30909, "volume": 1250421489036, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39366, "uuid": "a29e20e863394bbd8a32470ebc8fa04b", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the CNRM-MOCAGE model at CNRM-CERFACS", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the CNRM-MOCAGE model run by the modelling team at the CNRM (Centre National de Recherches Meteorologiques), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique) in France.\r\n\r\nThe refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39370, "uuid": "d90cf1c3c91a4b7eb52d9d3f16b8af6a", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/CNRM-CERFACS/CNRM-MOCAGE/refD2", "numberOfFiles": 72260, "volume": 2915163212412, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39369, "uuid": "ffc65489ff27406ca3ae9d7d1f898e85", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the CNRM-MOCAGE model at CNRM-CERFACS", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the CNRM-MOCAGE model run by the modelling team at the CNRM (Centre National de Recherches Meteorologiques), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique) in France.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39372, "uuid": "48a23561db4e4b1996a81a7a50a06424", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/CNRM-CERFACS/CNRM-MOCAGE/senD2-sai", "numberOfFiles": 41280, "volume": 1665244732760, "fileFormat": "Files are Net-CDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39371, "uuid": "f1bb58935da44a27875a1a2e29dee9e1", "short_code": "ob", "title": "CCMI-2022: senD2-sai data produced by the CNRM-MOCAGE model at CNRM-CERFACS", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-sai produced by the CNRM-MOCAGE model run by the modelling team at the CNRM (Centre National de Recherches Meteorologiques), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique) in France.\r\n\r\nThe senD2-sai simulation is based on the refD2 experiment but with a modified specified stratospheric aerosol distribution reflecting increased stratospheric aerosol amounts from stratospheric aerosol injection (SAI). Sea ice and sea surface temperatures (SSTs) are specified to follow a repeating annual cycle taken from those used by the same model for their refD2 experiment over 2020 - 2030, the period when SAI is assumed to have been initiated.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, "onlineresource_set": [] }, { "ob_id": 39384, "uuid": "de23db60160b437b964b404e17148bc8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2022/RCE_with_land", "numberOfFiles": 8, "volume": 84800816697, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 39383, "uuid": "3c42e6131ae44b9793648065dc4162b4", "short_code": "ob", "title": "ICOsahedral Nonhydrostatic (ICON) Atmospheric Global Circulation Model (GCM) data for global radiative-convective equilibrium (RCE) to simulate the impact of a land-sea contrast on convective aggregation", "abstract": "This dataset contains model data for the impact of a land-sea contrast on convective aggregation in radiative-convective equilibrium, Dingley et al., 2022. The data provided are ICOsahedral Nonhydrostatic (ICON) Atmospheric Global Circulation Model (GCM) data for global radiative-convective equilibrium (RCE) 2-year simulations with a circulation idealised island. Data files are provided in NetCDF format.\r\n\r\nThe RCE simulations are setup on an aquaplanet with no rotation and no diurnal cycle. To initialise the RCE state, homogenised boundary conditions are set where the solar insolation is 551.58 Wm-2 with a fixed zenith angle of 42.05°. Together these values give a constant insolation of 409.6 Wm-2. This is equivalent to the annual mean tropical insolation (Wing et al., 2018). A 360-day calendar is used. The global ocean albedo is set to 0.07. Concentrations of tracers CO2, CH4, N2O and O2 are set to be constant in space and time and the O3 profile is the same as used in Popke et al. (2013). SSTs are kept globally constant throughout each simulation at 305K. Model output is given every 10 days (for the 10dayouput files), and every 4 hours (for the 4houroutput files). Most simulations have been run with interactive radiation. However, in some, radiative feedbacks have been turned off by horizontally homogenising the radiative cooling rates at each model level and timestep. These files are indicated by homogLW and homogSW in the file names respectively. \r\n\r\nSimulations also have a circular, idealised island, centred at lat/lon=0 degrees. Island is modelled using the Jena Scheme for Biosphere-Atmosphere Coupling in Hamburg 4 (JSBACH4) model, coupled to the ICON GCM. This land is initialised with tropical rainforest vegetation. The island has a radius of 40 degrees, except for data in the different_islandsize file where the island radius varies from 10 to 80 degrees (as indicated in the variable names)." }, "onlineresource_set": [] }, { "ob_id": 39391, "uuid": "f63b730f5fb84d71a0b0e6e5990cb6b6", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c316-sep-08", "numberOfFiles": 41, "volume": 6511423098, "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": 39392, "uuid": "373e931e238143eda762687f4299ef2e", "short_code": "ob", "title": "FAAM C316 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": 39395, "uuid": "d709e2caa0574474a66196df88f94b63", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c317-sep-15", "numberOfFiles": 39, "volume": 5533849841, "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": 39396, "uuid": "bd1993a1f70f429ebc941b3dd83ea3f2", "short_code": "ob", "title": "FAAM C317 Instrument Test 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 FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects (Instrument) project." }, "onlineresource_set": [] }, { "ob_id": 39399, "uuid": "565dd25c6e1141d4babb5510595e8ab9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c318-sep-27", "numberOfFiles": 42, "volume": 4426413038, "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": 39400, "uuid": "5113bb1974a741ae9f69121d0118afa2", "short_code": "ob", "title": "FAAM C318 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, "onlineresource_set": [] }, { "ob_id": 39403, "uuid": "67a955be375246bdb16c0e6df2f2da32", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c319-oct-18", "numberOfFiles": 57, "volume": 5290304633, "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": 39404, "uuid": "ae6dd859e7a34f0a8aeba515e540384d", "short_code": "ob", "title": "FAAM C319 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, "onlineresource_set": [] }, { "ob_id": 39407, "uuid": "d76c192db9bb4d10b4183327b46a825d", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c320-oct-21", "numberOfFiles": 57, "volume": 5332005175, "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": 39408, "uuid": "51cc9c0e4d574a089b3f687acaceafe6", "short_code": "ob", "title": "FAAM C320 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, "onlineresource_set": [] }, { "ob_id": 39411, "uuid": "2992df4d937640aeba958c15046cb101", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c321-oct-23", "numberOfFiles": 57, "volume": 6488748190, "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": 39412, "uuid": "f5ff8034082e454c9d59837c3e1772fe", "short_code": "ob", "title": "FAAM C321 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, "onlineresource_set": [] }, { "ob_id": 39415, "uuid": "1f6725d364824cf3ba3e2cb3a68a62f7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c322-oct-24", "numberOfFiles": 63, "volume": 5783168837, "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": 39416, "uuid": "7569dbd04216467db6fc2529a7bc2a6f", "short_code": "ob", "title": "FAAM C322 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, "onlineresource_set": [] }, { "ob_id": 39419, "uuid": "a0199b32e6fc460ab230d22dd6fa89a5", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c323-oct-24", "numberOfFiles": 58, "volume": 5451612209, "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": 39420, "uuid": "586d4691756c4a91b5ad2d0b14bf10c7", "short_code": "ob", "title": "FAAM C323 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, "onlineresource_set": [] }, { "ob_id": 39423, "uuid": "dc2cee44b101492696092b31a56d6f60", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c324-oct-25", "numberOfFiles": 64, "volume": 7183243413, "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": 39424, "uuid": "7e5dcac890dc4892bf4286ff7042f6f8", "short_code": "ob", "title": "FAAM C324 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, "onlineresource_set": [] }, { "ob_id": 39427, "uuid": "543bec73d3d4422e9edb41de73f52632", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c325-oct-28", "numberOfFiles": 51, "volume": 5913657630, "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": 39428, "uuid": "c74da9061602412c9d2244bce83cbdc7", "short_code": "ob", "title": "FAAM C325 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, "onlineresource_set": [] }, { "ob_id": 39431, "uuid": "13f5db3822a84274994c3c384892c190", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c326-oct-28", "numberOfFiles": 58, "volume": 6014961916, "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": 39432, "uuid": "81f984ef33f74337bf6320eef3412ced", "short_code": "ob", "title": "FAAM C326 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, "onlineresource_set": [] }, { "ob_id": 39435, "uuid": "45363214334e45538254f5a2cc945680", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c327-oct-29", "numberOfFiles": 58, "volume": 6160326650, "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": 39436, "uuid": "81dfd25076674aa8b0cbc0c2c46071ff", "short_code": "ob", "title": "FAAM C327 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, "onlineresource_set": [] }, { "ob_id": 39439, "uuid": "27cb94a6a70f436fb4786d94aed72add", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c328-oct-31", "numberOfFiles": 59, "volume": 6441454535, "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": 39440, "uuid": "82f0e1d492384dd0a785b499fd6c7511", "short_code": "ob", "title": "FAAM C328 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, "onlineresource_set": [] }, { "ob_id": 39443, "uuid": "b527847d18094daeb4dfbedfe753d6d4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2022/c329-nov-01", "numberOfFiles": 56, "volume": 6485224872, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. 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