Result List

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                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Mace Head Atmospheric Research Facility, Ireland. These observations were taken as part of North Atlantic Marine Boundary Layer EXperiment (NAMBLEX) between 20020801 and 20020831.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington. These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20020926 and 20021202.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20030324 and 20030504.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20031008-20031130)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20031008 and 20031130.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20031205 and 20040418.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20040414 and 20040418.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20040805 and 20050519.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20050910-20060103)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20050910 and 20060103.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington, v8.0 (20060407-20060927)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington. These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20060407 and 20060927.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20061013-20061229)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20061013 and 20061229.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20070328-20070517)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20070328 and 20070517.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at Achern, Germany. These observations were taken as part of Convective and Orographically-induced Precipitation Study (COPS) between 20070613 and 20070807.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington, v8.0 (20070821-20071029)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington. These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20070821 and 20071029.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20080206-20080428)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20080206 and 20080428.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington, v8.0 (20080924-20090130)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington. These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20080924 and 20090130.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20090213-20090804)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20090213 and 20090804.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington. These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20120307 and 20130305.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20170215 and 20170410.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "Perdigão Double Hill Experiment: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Perdigao, Availade, Portugal field site, v8.0 (20170430-20170617)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Perdigao, Availade, Portugal field site. These observations were taken as part of Perdigão Double Hill Experiment between 20170430 and 20170617.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20171021-20180101)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20171021 and 20180101.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20180101-20181231)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20180101 and 20181231.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20190101-20191231)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20190101 and 20191231.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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            "observation": {
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                "short_code": "ob",
                "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20200101-20200702)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20200101 and 20200702.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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        {
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            "dataPath": "/badc/ncas-mobile/data/ncas-radar-wind-profiler-1/20230710_woest/v1.0",
            "numberOfFiles": 135,
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            "observation": {
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                "short_code": "ob",
                "title": "WOEST: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at Airfield Camp, Netheravon, v1.0 (20230710-20230911)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at Airfield Camp, Netheravon. These observations were taken as part of WesCon - Observing the Evolving Structures of Turbulence (WOEST) project between 20230710 and 20230911.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
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            "short_code": "result",
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            "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file",
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            "observation": {
                "ob_id": 43850,
                "uuid": "edc03d280dab4549a23b8da869460b94",
                "short_code": "ob",
                "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (VCR-02),Brazil, July 2019",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot VCR-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
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        {
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            "observation": {
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                "short_code": "ob",
                "title": "EOCIS:  University of Leicester GOSAT-2 Proxy XCH4, v1.0",
                "abstract": "The University of Leicester GOSAT-2 Proxy XCH4, v1.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT-2) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an Earth Observation Climate Information Service (EOCIS) funded version of the NCEO GOSAT-2 Proxy XCH4 v1.0 dataset. This dataset is consistent with the GOSAT-1 dataset (https://catalogue.ceda.ac.uk/uuid/54df57f3aaed4867bec35ebdb31f4a8b/) The latest version of the GOSAT-2 Level 1B files were processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. The data were processed through the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed, via the same methodology as used for the GOSAT-1 data. See process information and documentation for further details."
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        {
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            "dataPath": "/neodc/eocis/data/global_and_regional/methane/gosat/CH4_GOS_OCPR/L2/v9.0_eocis/",
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                "title": "EOCIS:  University of Leicester GOSAT Proxy XCH4, v9.0_eocis",
                "abstract": "The University of Leicester GOSAT Proxy XCH4, v9.0_eocis data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an Earth Observation Climate Information Service (EOCIS) funded version of the NCEO  GOSAT Proxy XCH4 v9.0 dataset which is itself an update/extension to the European Space Agency Climate Change Initiative (CCI) CH4_GOS_OCPR V7.0. and the Copernicus Climate Change Service (C3S)  CH_4 v7.2 datasets. It is a full reprocessing, based on different underlying L1B radiance data with additional changes.  The latest version of the GOSAT Level 1B files (version 210.210) was acquired directly from the National Institute for Environmental Studies (NIES) GOSAT Data Archive Service (GDAS) Data Server and are processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. These measured radiances have the recommended radiometric calibration and degradation corrections applied as per Yoshida et al., 2013 with an estimate of the spectral noise derived from the standard deviation of the out-of-band signal. The spectral data were then inputted into the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed. See process information and documentation for further details."
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                "title": "EOCIS: Lake Catchment Change Indicators V1.0",
                "abstract": "This dataset contains Lake Catchment Change Indicators data produced within the Earth Observation Climate Information Service (EOCIS) project by Plymouth Marine Laboratory.\r\n\r\nThe Product(s) can be used to map daily variations in the reflectance of water bodies contained in the target lake catchment. The derived quantities turbidity and chlorophyll-a can be used to determine variability in the optical and biochemical conditions of the lake and other included water bodies. \r\n\r\nA set of vegetation, built-up area, and water indices are included to aid users in selection data ranges and locations of interest. These include the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-Up Index (NDBI) Augmented Normalized Difference Water Index (ANDWI) and Modified Normalized Difference Water Index (MDNWI).\r\n\r\nThese data sets have been created following the specific format for climate data at high resolution for the UK (CHUK) within the EOCIS project. The CHUK grid consists of 100m x 100m cells in British National Grid (BNG) projection. The CHUK grid covers the whole area of the British Isles, an area approximately 1,000km x 1,500km, whereas the data sets presented here are limited to parts of this grid for the extent of each lake catchment."
            },
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            "curationCategory": "A",
            "dataPath": "/neodc/eocis/data/global_and_regional/land_ice/ice_sheet_mass_balance/antarctica",
            "numberOfFiles": 328,
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                "ob_id": 43338,
                "uuid": "6ccd55eedabf49fcbcdda3332460e67f",
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                "title": "EOCIS: Antarctica Mass Balance, v1.0",
                "abstract": "This dataset contains Rates of Mass Change for the Antarctic Ice Sheet produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nMass change is provided as a 5x5 km grid over the land ice for the Antarctic Ice Sheet (excluding peripheral ice caps and glaciers) and includes drainage basins (Rignot et al., 2016), delivered as NetCDF files. EOCIS land ice products are generated monthly by CPOM from the satellite radar altimetry record, ERS-1 to CryoSat-2. Future product versions for this dataset will be hosted at the Centre for Polar Observation and Modelling (CPOM).\r\n\r\nFor future updates to this dataset, see the EOCIS CPOM page in the related documents section."
            },
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        {
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            "short_code": "result",
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            "numberOfFiles": 337,
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            "observation": {
                "ob_id": 43337,
                "uuid": "afa4296dd881415eb522eafe7d8116ac",
                "short_code": "ob",
                "title": "EOCIS: Antarctica Ice Sheet Surface Elevation Change, v1.0",
                "abstract": "This dataset contains Rates of Surface Elevation Change for the Antarctic Ice Sheet produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nSurface elevation change is provided as a 5x5 km grid over the land ice for the Antarctic Ice Sheet (excluding peripheral ice caps and glaciers) and includes drainage basins (Rignot et al., 2016), delivered as NetCDF files.\r\n\r\nFor future updates to this dataset, see the EOCIS CPOM page in the related documents section."
            },
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        {
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            "uuid": "2a13cf7153784af4a7c5f0a2dc728e3f",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/eocis/data/global_and_regional/land_ice/ice_sheet_surface_elevation_change/greenland",
            "numberOfFiles": 328,
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            "observation": {
                "ob_id": 43203,
                "uuid": "debc301e309a45c68fe2e6f41329cd3b",
                "short_code": "ob",
                "title": "EOCIS: Greenland Ice Sheet Surface Elevation Change, v1.0",
                "abstract": "This dataset contains Rates of Surface Elevation Change for the Greenland Ice Sheet produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nSurface elevation change is provided as a 5x5 km grid over the land ice for the Greenland Ice Sheet (excluding peripheral ice caps and glaciers) and includes drainage basins (Mouginot et al 2019), delivered as NetCDF files.\r\n\r\nFor future updates to this dataset, see the EOCIS CPOM page in the related documents section."
            },
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        {
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            "uuid": "e9bcdaafbefa4b0ca1aa2e510a5b1bd9",
            "short_code": "result",
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            "dataPath": "/badc/deposited2025/particle_velocity_data",
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            "volume": 0,
            "fileFormat": "BADC-CSV",
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        {
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/woest/data/stfc-radar-wind-profiler-1/20230601_woest/v1.0",
            "numberOfFiles": 212,
            "volume": 211006659,
            "fileFormat": "NetCDF",
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            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43882,
                "uuid": "257e911489484af7881c81a36e76789b",
                "short_code": "ob",
                "title": "WOEST: SNR winds from the STFC Radar Wind Profiler unit 1 deployed at Chilbolton Atmospheric Observatory, v1.0 (202360110-20230928)",
                "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the STFC Radar Wind Profiler unit 1 deployed at Chilbolton Atmospheric Observatory. These observations were taken as part of the Wessex convection (WesCon) experiment - Observing the Evolving Structures of Turbulence (WOEST)between 202360110 to 20230928.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of STFC and NCAS as the data provider is required whenever and wherever these data are used."
            },
            "onlineresource_set": []
        },
        {
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            "uuid": "041665d028a847c59350c25c17532c2d",
            "short_code": "result",
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            "dataPath": "/badc/deposited2025/SynthHAPPE",
            "numberOfFiles": 4034,
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            "observation": {
                "ob_id": 43733,
                "uuid": "4cbd9c53ab07497ba42de5043d1f414b",
                "short_code": "ob",
                "title": "Synthetic Hourly Air Pollution Prediction Averages for England (SynthHAPPE)",
                "abstract": "This dataset contains synthetic estimates of ambient air pollution concentrations across England, provided as hourly averages representing typical conditions. The data cover major pollutants, including Nitrogen Dioxide (NO2), Nitric Oxide (NO), Nitrogen Oxides (NOx), Ozone (O3), Particulate Matter smaller than 10 micrometres (PM10) and smaller than 2.5 micrometres (PM2.5), and Sulphur Dioxide (SO2). Each pollutant's concentrations are predicted not only as average (mean) values but also include estimates at lower (5th percentile), median (50th percentile), and upper (95th percentile) levels to highlight typical and potential extreme pollution scenarios.\r\n\r\nThe spatial coverage of the dataset includes the entire area of England, structured as an evenly spaced grid, with each grid square covering an area of 1 square kilometre (1 km^2). Data points correspond to the centre of these grid squares. Temporally, the dataset does not represent actual hourly measurements from specific dates; instead, it provides aggregated \"typical day\" profiles constructed by averaging observations collected from multiple years (2014-2018) for each month, weekday, and hour. This method offers representative insights into typical air pollution patterns, avoiding the complexity of handling large-scale raw datasets.\r\n\r\nThese pollution estimates were produced using a supervised machine learning method, which is a computational approach where algorithms are trained to identify patterns in historical data and apply these learned patterns to predict new data points. The predictions incorporated various environmental factors including weather conditions (e.g., temperature, wind, precipitation), human activities (traffic patterns), satellite measurements, land-use types (urban, rural, industrial areas), and emission inventories (datasets detailing pollutants released into the atmosphere). Additionally, the dataset provides uncertainty intervals through percentile-based estimates, giving users insights into the reliability of the predictions.\r\n\r\nThe dataset was developed to facilitate easier access to high-quality air pollution information for diverse stakeholders, such as researchers, policymakers, urban planners, and health professionals. By providing clear, simplified air quality scenarios, it helps users make informed decisions in urban planning, public health, environmental management, and policy development, as well as to assess potential impacts and interventions related to air pollution.\r\n\r\nThe dataset was created by Liam J. Berrisford at the University of Exeter during his PhD studies, supported by the UK Research and Innovation (UKRI) Centre for Doctoral Training in Environmental Intelligence. Full methodological details and data validation information are available in the associated open-access scientific publication. For more information about the data, see the README.md archived alongside this dataset.\r\n\r\nIn terms of completeness, this dataset intentionally provides representative hourly pollution estimates rather than exact historical measurements or specific pollution events. While it extensively covers typical pollution scenarios across England, direct measurements from specific air quality monitoring stations are not included. Users requiring detailed historical observations or data about specific events should refer to original monitoring station datasets."
            },
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        },
        {
            "ob_id": 43896,
            "uuid": "b151653ce5384cecbe158291e7800911",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/deposited2025/Abrasion_Chamber_Particle_Velocity",
            "numberOfFiles": 31,
            "volume": 157481720,
            "fileFormat": "badc-csv",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43652,
                "uuid": "67ed591ff81f4d5c88df631faf1c9c7a",
                "short_code": "ob",
                "title": "Abrasion chamber particle velocity data (mineral grain particle sizes D50 157-681 microns)",
                "abstract": "Data relate to the velocities of mineral particles achieved within a glass test-tube abrasion chamber. Particles are agitated by airflow in to the chamber. Particle median grain size (D50) ranged from 157 to 681 microns. Particle mass varied from 10 g to 100 g. Particle velocities were measured over a 2D vertical grid aligned through the long-axis of the chamber using a Dantec(TM) 2D Laser Doppler Anemometer mounted on a 2D programmable traverse. Data were collected to determine how mineral particle velocities achieved within the chamber compared to those in natural saltation clouds.\r\n\r\nThis data is part of the project NE/X00015X/1: Microplastic entrainment, transport and fragmentation in atmospheric boundary-layer flows. The overall aim of this research is to understand the processes of microplastic entrainment and transport by wind and how these processes affect the material properties of microplastics. The knowledge gained will inform models for predicting land-atmosphere microplastic flux and distribution"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43897,
            "uuid": "0a15dffb357e4deeb168e2c1e03da3bc",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-eas126aer/",
            "numberOfFiles": 1327,
            "volume": 1205436847692,
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            "storageStatus": "online",
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            "observation": {
                "ob_id": 43895,
                "uuid": "75154cb17fa145baae459e13af7777d2",
                "short_code": "ob",
                "title": "SSP370-EAS126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over East Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. East Asia is the region bounded by 95 and 133E and 20 and 53N. \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43899,
            "uuid": "2919ce0649864d8f88cb141c67eaa859",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-sas126aer/",
            "numberOfFiles": 1326,
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            "observation": {
                "ob_id": 43898,
                "uuid": "93f964d370104d5c9c5b1c0d82f8b846",
                "short_code": "ob",
                "title": "SSP370-SAS126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over South Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
            },
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        },
        {
            "ob_id": 43901,
            "uuid": "37422f1616784daa8ee9aeeb491279d9",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-nae126aer/",
            "numberOfFiles": 1327,
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            "observation": {
                "ob_id": 43900,
                "uuid": "ec6e5980a74a4c69a8fde0b4d81a658d",
                "short_code": "ob",
                "title": "SSP370-NAE126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over North America and Europe. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
            },
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        {
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            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-afr126aer/",
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            "observation": {
                "ob_id": 43902,
                "uuid": "13b310fc41f04792ad7f84ad8d80f1c3",
                "short_code": "ob",
                "title": "SSP370-AFR126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over Africa and the Middle East. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
            },
            "onlineresource_set": []
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                "ob_id": 43904,
                "uuid": "5e2588d9fcc2409bb572402108622b3e",
                "short_code": "ob",
                "title": "SSP370-126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
            },
            "onlineresource_set": []
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            "curationCategory": "",
            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-afr126aer/",
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                "ob_id": 43906,
                "uuid": "2140af6da1b44861a74e66333ed277c9",
                "short_code": "ob",
                "title": "piClim-370-AFR126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the piClim-370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe piClim-370-AFR126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over Africa and the Middle East are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N. \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project."
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            "uuid": "ad9199352ce14bccb4e1b50784387946",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370/",
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            "observation": {
                "ob_id": 43909,
                "uuid": "cf87f3ebcaa04c03b9f7079d9aa270cd",
                "short_code": "ob",
                "title": "SSP370 data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in greenhouse gas emissions, near constant global sulphur dioxide emissions, and small global increases in carbonaceous aerosol. \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
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            "short_code": "result",
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            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-sas126ca",
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                "ob_id": 43912,
                "uuid": "f5cf862872d240dcab86a0d67eb16699",
                "short_code": "ob",
                "title": "SSP370-SAS126ca data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-SAS126ca experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional carbonaceous aerosol reductions over South Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-SAS126ca coupled transient experiment runs from January 2015 to at least February 2051. Carbonaceous aerosol emissions (black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
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        {
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            "uuid": "876ac05da7454de9a837a3e94b164294",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-asia126aer",
            "numberOfFiles": 1486,
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            "observation": {
                "ob_id": 43914,
                "uuid": "e83f26cb113544db8db274a194b49977",
                "short_code": "ob",
                "title": "SSP370-ASIA126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-ASIA126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-ASIA126aer coupled transient experiment from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Asia is comprised of East Asia (the region bounded by 95 and 133E and 20 and 53N) and South Asia (the region bounded by 65 and 95E and 5 and 35N). \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
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            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-saf126ca",
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                "ob_id": 43916,
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                "short_code": "ob",
                "title": "SSP370-SAF126ca data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-SAF126ca experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over sub-Saharan Africa. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-SAF126ca coupled transient experiment from January 2015 to at least February 2051. Carbonaceous aerosol emissions (black carbon and organic carbon) over sub-Saharan Africa are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Sub-Saharan Africa is the region bounded by 20W and 50E and 35S and 12N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/australia/AEP-02/2018-08-31.001.riproject",
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                "short_code": "ob",
                "title": "TLS-ARCH terrestrial laser scanner data; Downfall Creek (AEP-02), North Queensland, Australia, July 2018",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full-waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot (A)EP-02 (Downfall Creek) is part of the CSIRO Rainforest Permanent Plots of North Queensland (Graham et al. 2006)\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans.  In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
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            "curationCategory": "A",
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            "numberOfFiles": 1180,
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                "ob_id": 43919,
                "uuid": "826c4184a49640659558eeb03f796414",
                "short_code": "ob",
                "title": "TLS-ARCH terrestrial laser scanner data; Curtain Fig (AEP-33), North Queensland, Australia, August 2018",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot (AEP-33) Curtain Fig is part of the CSIRO Rainforest Permanent Plots of North Queensland (Graham et al. 2006)\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans.  In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
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            "short_code": "result",
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            "observation": {
                "ob_id": 43923,
                "uuid": "ca9eca7c830e49b29c88650db0a4aab1",
                "short_code": "ob",
                "title": "South Asian Nitrogen Hub Regional Marine Biogeochemistry Model under baseline scenario conditions (1993-2020)",
                "abstract": "This dataset contains outputs of a simulation from an ocean-biogeochemistry (NEMO v.4.0.4 - ERSEM) model over the South East Asia region. Atmospheric forcing is provided by ERA5, with lateral ocean boundaries from the CMEMS global forecast. Biogeochemical tracers are initialised and forced by a combination of world ocean atlas, GloDAP, and OC-CCI data. Outputs are provided as daily and monthly files on a {t,u,v,w}-grid. Additional monthly output used in the construction of a nitrogen budget is also provided. For this simulation, riverine input and nitrogen deposition is input into the marine environment under baseline conditions using 2015 as a reference. The model configuration is named SAsia. The outputs were generated under the South Asian Nitrogen Hub (SANH; NE/S009019/1) project."
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            "uuid": "9e10f0929bb5492eb8a8a9ab8053df40",
            "short_code": "result",
            "curationCategory": "A",
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            "observation": {
                "ob_id": 43925,
                "uuid": "0ca0d19dee134284ba9a888321c022a1",
                "short_code": "ob",
                "title": "South Asian Nitrogen Hub Regional Marine Biogeochemistry Model hindcast runs under three nitrogen production scenarios (2004-2020)",
                "abstract": "This dataset contains outputs of three simulations from an ocean-biogeochemistry (NEMO v.4.0.4 - ERSEM) model over the South East Asia region. Atmospheric forcing is provided by ERA5, with lateral ocean boundaries from the CMEMS global forecast. Biogeochemical tracers are initialised and forced by a combination of world ocean atlas, GloDAP, and OC-CCI data. The output is provided as daily and monthly files on a {t,u,v,w}-grid. Additional monthly output used in the construction of a nitrogen budget is also provided. Three different simulations were run with varying river input and nitrogen deposition: 1) under current legislation conditions (at the time of publication), which include projected trends of activity and change in environmental factors to include the impact of recent legislation (for example the mandatory use of Neem Coated Urea); 2) under maximum technically feasible reduction in overall nitrogen production conditions, including the projected trends of activity, the impact of current legislation (e.g. neem coated urea), along with further reductions such as the amount of permissible nitrogen pollution from fertilizer use and reduced emissions from housing; 3) under maximum technically feasible reduction in overall nitrogen production plus a change in human diet conditions, including the projected trends of activity, the impact of current legislation, along with further reductions such as the amount of permissible nitrogen pollution from fertilizer use and reduced emissions from housing, and the additional assumption of an overall change in human diet towards foods that produce less nitrogen during their production. The simulations are performed as hindcasts but are used to assess future behaviour under a given scenario. The model configuration is named SAsia. The outputs were generated under the South Asian Nitrogen Hub (SANH; NE/S009019/1) project."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43930,
            "uuid": "11da1572a3854067952951fe8c8e78ee",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/malaysia/CBN-02/2018-07-30.001.riproject",
            "numberOfFiles": 995,
            "volume": 54626333849,
            "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43929,
                "uuid": "1377e1c5100b4ceba84d077c4166b4ef",
                "short_code": "ob",
                "title": "TLS-ARCH terrestrial laser scanner data; Plot CBN-02, Malaysian Borneo, July 2018",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot CBN-02 is part of the Global Ecosystem Monitoring (GEM) and is located in the rainforests of Malaysian Borneo. Please note that this data is not registered and therefore there are no rotation matrices.\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43934,
            "uuid": "e04f13a4cb5345be92a52df4ecd37604",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/malaysia/SAF-03/2018-06-30.001.riproject",
            "numberOfFiles": 1875,
            "volume": 101249235715,
            "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43932,
                "uuid": "e83501ef28ce4839916621857fdd9a88",
                "short_code": "ob",
                "title": "TLS-ARCH terrestrial laser scanner data; SAFE project Plot SAF-03, Malaysian Borneo, June 2018",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot SAF-03 is part of the Stability of Altered Forest Ecosystem (SAFE) Project located in the rainforests of Malaysian Borneo.\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43936,
            "uuid": "66b8523001c042aaa3b5a2b63f4b46fe",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/malaysia/SAF-05/",
            "numberOfFiles": 1371,
            "volume": 61955585905,
            "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43935,
                "uuid": "839eff8c0ef44c23840c1c13ebe78d17",
                "short_code": "ob",
                "title": "TLS-ARCH terrestrial laser scanner data; SAFE project Plot SAF-05, Malaysian Borneo, June 2018",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot SAF-05 is part of the Stability of Altered Forest Ecosystem (SAFE) Project located in the rainforests of Malaysian Borneo.\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43939,
            "uuid": "3cffb1e11403450fb7e4dab1fc15670c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/brazil/NXV-02/2019-07-09.001.riproject",
            "numberOfFiles": 1397,
            "volume": 54003932377,
            "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43938,
                "uuid": "26bd74cc70c84bcea4e0726a3342d839",
                "short_code": "ob",
                "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (NXV-02),Brazil, July 2019",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot NXV-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43941,
            "uuid": "7fc2fd49739f4c7393c1bde8f0086e30",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/brazil/NXV-01/2019-07-24.004.riproject",
            "numberOfFiles": 1898,
            "volume": 57419261071,
            "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43940,
                "uuid": "a9d4d3398f49427ba214ca37f0782e68",
                "short_code": "ob",
                "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (NXV-01),Brazil, July 2019",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot NXV-01 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43943,
            "uuid": "dd70183ac7c54bd48fe6eb594c71f0fa",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/brazil/CRP-01/2019-07-27.001.PROJ",
            "numberOfFiles": 39,
            "volume": 651043066,
            "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg fo\\\r\nrmat and matrix data in text file.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43942,
                "uuid": "cfa35fbf01014a649544ecff779a89d3",
                "short_code": "ob",
                "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (CRP-01),Brazil, August 2019",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot CRP-01 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43945,
            "uuid": "16f7c421a89b4eed9cd8ee0f50b1b8b5",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/brazil/CRP-02/2019-08-28.001.PROJ/",
            "numberOfFiles": 707,
            "volume": 12752177054,
            "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43944,
                "uuid": "6bc486defec1422fbef729ff84cb3ff3",
                "short_code": "ob",
                "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (CRP-02),Brazil, August 2019",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot CRP-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43951,
            "uuid": "a82caadeed38472eba5f94dd741c9ca6",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/branches-tls",
            "numberOfFiles": 5424,
            "volume": 206588777176,
            "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43949,
                "uuid": "1586484320b24ce887290468dafb8b28",
                "short_code": "ob",
                "title": "TLS-ARCH terrestrial laser scanner data; branch scan projects from Australia, Brazil and Malaysia, June 2018 - July 2019",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Approximately 600 branches were harvested, had their leaves removed and were scanned in a controlled environment. More information can be found in Wilkes et al. 2021. Terrestrial laser scanning to reconstruct branch architecture from harvested branches in the documentation section. \r\n\r\nA RIEGL VZ-400 terrestrial laser scanner (RIEGL Laser Measurement Systems GmbH) was used for all scans. In all, 1–6 branches (dependent on branch size) were arranged in a group, orientated so that they would not touch each other or the ground, and scanned simultaneously. Branches were secured in the end of metal tubing and placed in buckets of sand to minimise movement. Fiducial markers (akin to QR codes) were placed on the floor to allow identification of each branch in post-processing. The markers include a pattern of four retroreflective stickers (10 mm ∅) which were used to co-register scans. Between four and six scan positions (collectively known as a project), located around the branches, were used to capture each set of branches. At each position, a single scan was performed where the scanner rotation axis was approximately perpendicular to the ground plane. A 100 degrees × 80 degrees field of view was captured at an angular resolution of 0.02 degrees ; each scan took 2:45 min where ∼20M laser pulses were fired. \r\n\r\nThe VZ-400 beam has an exit diameter of 0.007 m and a beam divergence of 0.35 mrad; branches were at a maximum distance of 5 m from the scanner, and at this distance maximum cross-sectional beam diameter is ∼0.01 m. The scanning area needed to be large enough to allow easy movement around the branches and minimum distance between the scanner and target (for the RIEGL VZ-400, this is 0.5 m). It should be noted,  owing to the restricted scanning field of view, large or featureless areas required additional ‘features’ (e.g. furniture in the scanning field of view) to assist with registration. Initially, scanning was performed outside but it became clear that branch tips would oscillate even with very low wind speeds; therefore, scanning was moved to an indoor space. Co-registration of scans in a project is a two-step process (coarse- and fine-registration) that produces a 4 × 4 roto-transformation matrix for each scan position. When applied, a scan is rotated into a common, arbitrary coordinate system (nominally referenced to the first scan position). \r\n\r\nCo-registration of a project was done using RiSCAN Pro (version 2.5.1; RIEGL Laser Measurement Systems GmbH). Coarse registration was achieved using the retro-reflective stickers on the corners of the fiducial markers. Fine registration was computed using RiSCAN Pro’s Multi-Station Adjustment (MSA) method (RIEGL Laser Measurement Systems GmbH, 2019). MSA fits a set of planes to a point cloud by iteratively voxelising the point cloud, with each iteration voxel edge length decreases until plane fit error is below a specified threshold (or no plane is fit if voxel edge of minimum number of point thresholds are exceeded). Here voxel edge length decreased from 1.024 to 0.064 m, minimum points were 10 and maximum plane error was 0.006 m; this resulted in 7,000– 20,000 planes per scan position. MSA then uses a least square solution to iteratively adjust scan position to minimise positional error between overlapping planes."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43953,
            "uuid": "111e834991a443af9574f7c87262aba2",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/caliop/data/l2_vfm/v4-51",
            "numberOfFiles": 161825,
            "volume": 7431238114943,
            "fileFormat": "Data are HDF4 formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43952,
                "uuid": "9cbc9b1875474d65ad1e4697007e88b7",
                "short_code": "ob",
                "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 Vertical Feature Mask Version 4-51 Product (CAL_LID_L2_VFM-Standard-V4-51)",
                "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objective of the mission was to supply a unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 vertical feature mask version 4-51 data product describes the horizontal and vertical distribution of the cloud and the aerosol layers observed by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP). CAL_LID_L2_VFM-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 Vertical Feature Mask (VFM), Version 4-51 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The version of this product was changed from 4-20 to 4-21 to account for a change in the operating system of the CALIPSO production cluster."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43956,
            "uuid": "c91aece2323b44a1b01ca6c7c04127e6",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/CMIP/EC-Earth-Consortium/EC-Earth3/amip",
            "numberOfFiles": 2625,
            "volume": 982315440599,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43955,
                "uuid": "75a1511105fd49ddb591340bdb783fd7",
                "short_code": "ob",
                "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"amip\" 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 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, Eday, Emon, LImon, Lmon, day and fx. The runs included the ensemble members: r1i1p1f1 and r4i1p1f1.\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": 43959,
            "uuid": "18bfea226756458ab94f09b1f3f08d47",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/CMIP/UA/MCM-UA-1-0/1pctCO2",
            "numberOfFiles": 30,
            "volume": 7744280409,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43958,
                "uuid": "1cae7f7113034d4da2aeebf9b985b18a",
                "short_code": "ob",
                "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"1pctCO2\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Ofx, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43961,
            "uuid": "0046f1173d744a29b1b5d5bf0a36a72d",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ccmi/data/post-cmip6/ccmi-2022/ECCC/CMAM/senD2-ssp370/",
            "numberOfFiles": 379,
            "volume": 118323075095,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43957,
                "uuid": "755e708951b1452aa93d06a3b717e955",
                "short_code": "ob",
                "title": "CCMI-2022: senD2-ssp370 data produced by the CMAM model at CCCma",
                "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-ssp370 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\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\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": 43963,
            "uuid": "850220a928884a53aec6738e175f6d62",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/UKMO/GloSea6/control-full",
            "numberOfFiles": 8701,
            "volume": 5686200125962,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43962,
                "uuid": "9384f4944d574fefb4a88f16ceba0a19",
                "short_code": "ob",
                "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control-full data produced by the GloSea6 model at UKMO",
                "abstract": "This dataset contains model data for SNAPSI experiment 'control-full' produced by scientists at UKMO (UK Met Office, Exeter, UK). It is generated with the coupled climate ensemble prediction system GloSea6. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n-  Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. 605 J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014"
            },
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            "numberOfFiles": 2664,
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                "short_code": "ob",
                "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-01), Gabon, pre-logging, August 2019",
                "abstract": "This dataset is comprised of raw data from the EC-funded project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plot FGC-01 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo. \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively.  In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to trasnform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
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                "ob_id": 43970,
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                "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-01), Gabon, post-logging, February 2020",
                "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plot FGC-01 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo. \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively.  In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
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                "ob_id": 43972,
                "uuid": "40b7bc2b97344de2955aea24a2703d4e",
                "short_code": "ob",
                "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-02), Gabon, pre-logging, August 2019",
                "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-02 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo.  \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively.  In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
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                "ob_id": 43974,
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                "short_code": "ob",
                "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-02), Gabon, post-logging, January 2020",
                "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-02 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo.  \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively.  In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
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            "observation": {
                "ob_id": 43976,
                "uuid": "1f433c233fdc4ab29418123f802280fc",
                "short_code": "ob",
                "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-03), Gabon, pre-logging, January 2020",
                "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-03 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo.  \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively.  In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
            "onlineresource_set": []
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        {
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            "dataPath": "/neodc/tls/data/raw/gabon/FGC-03/2020-02-07.001.riproject",
            "numberOfFiles": 2327,
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            "fileFormat": "Point cloud data in RIEGL proprietary .rxp format, image data in .jpg format and matrix data in text file.",
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                "ob_id": 43978,
                "uuid": "288b49fd2a1e43d2a8dc7a05b12726b5",
                "short_code": "ob",
                "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-03), Gabon, post-logging, February 2020",
                "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-03 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo.  \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively.  In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
            "onlineresource_set": []
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        {
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            "short_code": "result",
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            "dataPath": "/neodc/tls/data/raw/gabon/FGC-04/2020-01-23.001.riproject",
            "numberOfFiles": 2762,
            "volume": 66458056004,
            "fileFormat": "Point cloud data in RIEGL proprietary .rxp format, image data in .jpg format and matrix data in text file.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 43980,
                "uuid": "e0cb25ef2dff4a1f8bfd7222a9f7f870",
                "short_code": "ob",
                "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-04), Gabon, pre-logging, January 2020",
                "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-04 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo.  \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively.  In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
            "onlineresource_set": []
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        {
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            "short_code": "result",
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            "dataPath": "/neodc/tls/data/raw/gabon/FGC-04/2020-01-31.001.riproject",
            "numberOfFiles": 1955,
            "volume": 51698558966,
            "fileFormat": "Point cloud data in RIEGL proprietary .rxp format, image data in .jpg format and matrix data in text file.",
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            "observation": {
                "ob_id": 43982,
                "uuid": "84ef8642085747edaa589f3b0b8f2973",
                "short_code": "ob",
                "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-04), Gabon, post-logging, January 2020",
                "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plots FGC-04 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo.  \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively.  In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory."
            },
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        {
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            "uuid": "d801d18f86fe4971b8e2076d68ad594a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/CMIP/UA/MCM-UA-1-0/abrupt-4xCO2",
            "numberOfFiles": 58,
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            "observation": {
                "ob_id": 43984,
                "uuid": "a8245ce716304241abeb547b51a64409",
                "short_code": "ob",
                "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"abrupt-4xCO2\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Ofx, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
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        },
        {
            "ob_id": 43988,
            "uuid": "1a64224af5084ef99146d6337b285868",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/CMIP/UA/MCM-UA-1-0/piControl",
            "numberOfFiles": 156,
            "volume": 38906319631,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 43987,
                "uuid": "d646eaa80bc94961b722c2b6e57de823",
                "short_code": "ob",
                "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"piControl\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 43991,
            "uuid": "11eca505390247e19eb0469ca32709ce",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/CMIP/CAS/FGOALS-g3/amip",
            "numberOfFiles": 591,
            "volume": 35867107342,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43990,
                "uuid": "b4af77bfb2b64c498d9b30b5cfefa9ad",
                "short_code": "ob",
                "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"amip\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrPlev, Amon, LImon, Lmon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\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": 43997,
            "uuid": "7935b01e124341469c5c37d3cd130c1b",
            "short_code": "result",
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            "dataPath": "/neodc/caliop/data/l2_01kmclay/v4-51",
            "numberOfFiles": 161830,
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            "observation": {
                "ob_id": 43996,
                "uuid": "ff5c7123668044be9876d6e690517990",
                "short_code": "ob",
                "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 1km Cloud Layer Version 4-51 Product (CAL_LID_L2_01kmCLay-V4-51)",
                "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 1km cloud layer version 4-51 data product, which provides cloud data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product at 1 km horizontal resolution, with full complement of diagnostic and quality assurance parameters. The data provides range of parameters including vertical profile of cloud layers, optical depth. \r\n\r\nCAL_LID_L2_01kmCLay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 1 km Cloud Layer, Version 4-51 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.\r\n\r\nWithin this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products contain column descriptors associated with several layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.\r\n\r\nThe CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).\r\n\r\nCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train."
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        {
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/soc250827",
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            "volume": 0,
            "fileFormat": "JPG",
            "storageStatus": "online",
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                "ob_id": 44000,
                "uuid": "446b1380fbd54a5ab9eb5244b3d5c2ac",
                "short_code": "ob",
                "title": "Benthic images collected by Autonomous Underwater Vehicle during expedition JC257, 100 km south from the northern border of the UK-1 area of the Clarion-Clipperton Zone, Pacific Ocean, 2024",
                "abstract": "A collection of 2276 benthic still images was obtained using a downward-looking camera mounted on the UK Autosub5 Autonomous Underwater Vehicle (AUV), deployed from RRS James Cook during cruise JC257 in the abyssal plain (~4130 m depth) of the UK-1 exploration area of the Clarion-Clipperton Zone, Pacific Ocean, in 2024. During mission AS5M094, the AUV was programmed to replicate 22 parallel 2 km long transect lines in a site located 100 km South from the northern border of the UK-1 exploration area. The Grasshopper2 GS2-GE-50S5C camera mounted on the AUV collected vertically orientated still images at a target altitude of 3 m above the seabed, with one image being captured per second. Images within similar terrain feature (slope < 1.5°) were randomly subsampled. These images were colour corrected to enhance visual fidelity and converted from original 8-bit RAW to JPG images. The final image set was inspected for overlap, which was non-existent. The image set was subsequently annotated using the online platform BIIGLE to derive seabed community composition. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1)."
            },
            "onlineresource_set": []
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        {
            "ob_id": 44001,
            "uuid": "08f935849adb475ebdca8afc0816950c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/pol250716",
            "numberOfFiles": 732,
            "volume": 15710031960546,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44002,
                "uuid": "56c26ec4b90e455788e4724d22fd5d92",
                "short_code": "ob",
                "title": "PyLag particle tracking model of retrospective particles in the North Sea during two contrasting years (2014 and 2017)",
                "abstract": "This dataset uses the PyLag particle tracking model to simulate the ecological connectivity of benthic species in the northern North Sea during two contrasting years (2014 and 2017) to highlight seasonal to annual variability. The particles were released each day and run for 90 days. In the Retrospective Particle Tracks dataset a methodology of releasing an extensive set of particles over a wide area was used. This means the sets of particle tracks can be interrogated to understand connectivity between any two locations in the domain. This could be useful to understand if new human-made structures placed in any locations in the northern North Sea could potentially affect the ecological connectivity or different species with a maturity window up to 90 days. The particle tracks include location, time, age and water temperature. The data were generated under the Natural Environment Research Council (NERC) project CHASANS (Connectivity of Hard Substrate Assemblages in the North Sea) grant reference: NE/T010886/1."
            },
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                "ob_id": 44006,
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                "title": "High-resolution bathymetry, seafloor texture maps, and colour corrected images from the Greater Haig Fras Marine Protected Area (MPA) and the South West Deeps (East) MPA collected during RRS Discovery cruise DY152 with BioCam",
                "abstract": "The dataset contains BioCam visual seafloor mapping device data collected between 12th to 21st July 2022 in the Greater Haig Fras Marine Protected Area (MPA) and the South West Deeps (East) MPA collected by the University of Southampton and the National Oceanography Centre (NOC) on RRS Discovery cruise DY152, as part of the NERC Oceanids Marine Sensor Capital program (grant reference NE/P020887/1, BioCam - Mapping of Benthic Biology, Geology and Ecology with Essential Ocean Variables). These data were collected using the BioCam seafloor mapping device mounted to the 6000 m rated Autosub Long Range (ALR) Autonomous Underwater Vehicle (AUV). This includes colour corrected strobed images, cm-resolution bathymetry maps and texture maps. To collect colour imagery, a strobe was mounted at the front and another one at the back of the Autonomous Underwater Vehicle (AUV) and were used to illuminate the seafloor when the colour camera of BioCam, mounted at the centre of the AUV, acquired those images once every 3s. The strobed colour images were stored in raw format along with their timestamps. A line laser mounted at the front and another one mounted at the back of the AUV projected lines onto the seafloor at the same time. The lasers were permanently on, except when the strobes were triggered, when they were briefly turned off to avoid projecting the laser lines onto the strobed colour photos. Images of the laser line projection were acquired at 10 Hz and saved along with their timestamps. Post mission, the strobed images were colour corrected with an algorithm implemented in oplab-pipeline in post processing. Bathymetric data were computed using the laser line images that were processed with a light-sectioning algorithm published by Bodenmann, Thornton and Ura (2016). Texture maps were generated by projecting the colour-corrected images onto the 3D reconstructed bathymetry as detailed by Bodenmann, Thornton and Ura (2016)."
            },
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        {
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                "ob_id": 44008,
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                "title": "High-resolution bathymetry, seafloor texture maps, and colour corrected images from two sites in the North Sea collected during the INSITE ATSEA shore-launched Autonomous Underwater Vehicle (AUV) campaign with BioCam",
                "abstract": "The dataset contains BioCam visual seafloor mapping device from data collected between 23rd September to 5th October 2022. These data were collected by the University of Southampton and the National Oceanography Centre (NOC) as part of the INSITE (Influence of man-made structures in the ecosystem) AT-SEA (Autonomous Techniques for anthropogenic Structure Ecological Assessment NE/T010649/1) project. Two shore-launched Autonomous Underwater Vehicles (AUVs) deployments were conducted in the North Sea, at the site of the decommissioned North West Hutton oil platform and Miller platform. These data include colour corrected strobed images, and cm-resolution bathymetry maps and texture maps. These data were collected using the BioCam seafloor mapping device mounted to the 6000 m rated Autosub Long Range (ALR). To collect colour imagery, a strobe was mounted at the front and another one at the back of the Autonomous Underwater Vehicle (AUV) and were used to illuminate the seafloor when the colour camera of BioCam, mounted at the centre of the AUV, acquired those images once every 3s. The strobed colour images were stored in raw format along with their timestamps. A line laser mounted at the front and another one mounted at the back of the AUV projected lines onto the seafloor at the same time. The lasers were permanently on, except when the strobes were triggered, when they were briefly turned off to avoid projecting the laser lines onto the strobed colour photos. Images of the laser line projection were acquired at 10 Hz and saved along with their timestamps. Post mission, the strobed images were colour corrected with an algorithm implemented in oplab-pipeline in post processing. Bathymetric data were computed using the laser line images that were processed with a light-sectioning algorithm published by Bodenmann, Thornton and Ura (2016). Texture maps were generated by projecting the colour-corrected images onto the 3D reconstructed bathymetry as detailed by Bodenmann, Thornton and Ura (2016)."
            },
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        {
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            "curationCategory": "A",
            "dataPath": "/neodc/eocis/data/global_and_regional/land_ice/ice_sheet_velocity",
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                "ob_id": 43475,
                "uuid": "c0b464b3da9845758cd33591e57c4abf",
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                "title": "EOCIS: Ice Sheet Velocity, V1",
                "abstract": "This dataset contains Ice Sheet Velocity data produced within the Earth Observation Climate Information Service (EOCIS) project by the Satellite Ice Dynamics Group at the University of Leeds. The Antarctic Ice Sheet Ice Velocity product provides annual means of ice speed (ice velocity magnitude) at 250 m resolution for the Antarctic Ice Sheet from 2015 to 2024. This dataset contains the key variables ice speed (annual mean of ice velocity magnitude for the Antarctic Ice Sheet), and ice speed uncertainty (mean uncertainty corresponding to the ice speed measurement). \r\n\r\nThese data are derived from ESA Sentinel-1 SAR Interferometric Wide (IW) mode data and match the spatial footprint of this source. These data cover the margin of the Antarctic Ice Sheet, including ice shelves, north of approximately 78°S.\r\n\r\nAcronyms and/or abbreviations:\r\nAIS - Antarctic Ice Sheet\r\nEOCIS - Earth Observation Climate Information Service\r\nESA - European Space Agency\r\nGIS - Geographic information system\r\nIV - Ice velocity\r\nSAR - Synthetic aperture radar"
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        {
            "ob_id": 44011,
            "uuid": "287246dc1e8841fc80537477d7f9bd3d",
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            "curationCategory": "",
            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-eas126aer/",
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            "observation": {
                "ob_id": 44010,
                "uuid": "f334697aa6f24a11a29229c3fedf4746",
                "short_code": "ob",
                "title": "piClim-370-EAS126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the piClim-370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe piClim-370-EAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project."
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            "curationCategory": "",
            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-sas126aer/",
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                "ob_id": 44012,
                "uuid": "83a36308185b4fcb9c4198f5f69b03c1",
                "short_code": "ob",
                "title": "piClim-370-SAS126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the piClim-370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe piClim-370-SAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over South Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project."
            },
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        {
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            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-nae126aer/",
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            "observation": {
                "ob_id": 44014,
                "uuid": "b34e5509dc594d4b84bcd9420d6fd1dd",
                "short_code": "ob",
                "title": "piClim-370-NAE126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the piClim-370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe piClim-370-NAE126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over North America and Europe are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N and 20W, 45E, 35N, and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project."
            },
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        {
            "ob_id": 44017,
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            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-126aer/",
            "numberOfFiles": 88,
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            "observation": {
                "ob_id": 44016,
                "uuid": "f01914a2763641619ac637eb27ad409d",
                "short_code": "ob",
                "title": "piClim-370-126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the piClim-370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe piClim-370-126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project."
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        {
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            "uuid": "9873e7b7c32d49fc828b74bb7d616e04",
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            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370",
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                "ob_id": 44018,
                "uuid": "2dc9d53fa44e41c1b25f06c3a1be2374",
                "short_code": "ob",
                "title": "piClim-370 data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the piClim-370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe piClim-370 experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global anthropogenic forcing is taken from year 2050 of the ScenarioMIP SSP3-7.0 experiment. At least 30 years are requested. \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request:  https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project."
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            "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NCAR/CESM2/ssp370",
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                "ob_id": 43443,
                "uuid": "3e3daa268f1c49b4a50e030c4c50a461",
                "short_code": "ob",
                "title": "SSP370 data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in greenhouse gas emissions, near constant global sulphur dioxide emissions, and small global increases in carbonaceous aerosol.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Un-CMORized ocean variables are provided as a separate dataset linked to this dataset in native CESM2 format. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nCESM2 ocean variables are archived separately as raw model output (uncmorised) and linked in the Details/Docs section of this catalogue record.\r\n\r\nAcronyms\r\n------------\r\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
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            "curationCategory": "",
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