{
  "context": "https://hydroshare.org/schema",
  "type": "ScientificDataset",
  "additionalType": "CompositeResource",
  "name": "Terrestrial Water Storage Forecasts",
  "description": "The terrestrial water storage (TWS) forecasts are produced using the Catchment Land Surface Model (CLSM) forced with NASA\u2019s Goddard Earth Observing System (GEOS), and is a part of NASA\u2019s Hydrological Forecast and Analysis System (NHyFAS). The initial conditions in this system do not use data assimilation. The TWS forecast data is over continental Africa and the Middle East at 25km or 0.25deg spatial resolution and monthly temporal resolution. It covers the period between 1982 to 2019, the forecasts are initialized on the first of every month from 1982 through 2018 and the forecast leads extend out to 6 months. The TWS forecasts are included as monthly files with the following coordinates: 37years(1982-2018) x 6leads x 4ensembles x 320latitudes x 320longitudes.",
  "url": "http://www.hydroshare.org/resource/508fc30c230149d8b97977bea9c0f49b",
  "identifier": [
    "http://www.hydroshare.org/resource/508fc30c230149d8b97977bea9c0f49b"
  ],
  "creator": [
    {
      "type": "Person",
      "email": "hazra.abheera@gmail.com",
      "identifier": null,
      "affiliation": {
        "type": "Organization",
        "url": null,
        "address": null,
        "name": "NASA;ESSIC;UMD"
      },
      "name": "Hazra, Abheera"
    }
  ],
  "dateCreated": "2021-11-01 17:00:08.522191+00:00",
  "keywords": [
    "GEOS",
    "Forecasts",
    "Catchment Land Surface Model (CLSM)",
    "Africa",
    "TWS",
    "Middle East",
    "Terrestrial Water Storage"
  ],
  "license": {
    "type": "CreativeWork",
    "name": "This resource is shared under the Creative Commons Attribution CC BY.",
    "description": null,
    "url": "http://creativecommons.org/licenses/by/4.0/"
  },
  "provider": {
    "type": "Organization",
    "url": "https://www.hydroshare.org/",
    "address": null,
    "name": "HydroShare"
  },
  "contributor": [],
  "publisher": {
    "name": "Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI)",
    "url": "https://www.cuahsi.org/"
  },
  "datePublished": "2021-11-04 16:15:46.266975+00:00",
  "subjectOf": null,
  "version": null,
  "inLanguage": "eng",
  "creativeWorkStatus": {
    "type": "DefinedTerm",
    "name": "Published",
    "description": "The resource has been permanently published and should be considered final and complete"
  },
  "dateModified": "2021-11-04 16:15:53.294255+00:00",
  "funding": [
    {
      "type": "Grant",
      "description": null,
      "identifier": "PAPA AID-FFP-T-17-00001",
      "funder": {
        "type": "Organization",
        "url": null,
        "address": null,
        "name": "U.S. Agency for International Development, Bureau of Humanitarian Assistance"
      },
      "name": "NA"
    },
    {
      "type": "Grant",
      "description": null,
      "identifier": "80NSSC18M0039",
      "funder": {
        "type": "Organization",
        "url": null,
        "address": null,
        "name": "NASA Earth Science Applications: Food Security and Agriculture"
      },
      "name": "NASA Food Security and Agriculture Consortium (FSAC)"
    }
  ],
  "temporalCoverage": {
    "endDate": "2019-05-31 00:00:00",
    "startDate": "1982-01-01 00:00:00"
  },
  "spatialCoverage": {
    "type": "Place",
    "name": "Continental Africa and the Middle East",
    "geo": {
      "type": "GeoShape",
      "box": "40.0 60.0 -40.0 -20.0"
    },
    "additionalProperty": null,
    "srs": null
  },
  "hasPart": [
    {
      "type": "CreativeWork",
      "name": "This resource is referenced by",
      "description": "Cook, B. I., Slinski, K., Peters-Lidard, C., McNally, A., Arsenault, K., & Hazra, A. (2021). The efficacy of seasonal terrestrial water storage forecasts for predicting vegetation activity over Africa",
      "url": "Journal of Hydrometeorology.   https://doi.org/10.1175/JHM-D-21-0046.1"
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "NASA's Hydrological Forecast and Analysis System (NHyFAS); Arsenault, K.R., and Coauthors, 2020: The NASA hydrological forecast system for food and water security applications. Bull. Amer. Meteor. Soc., 101, E1007\u2013E1025",
      "url": "https://doi.org/10.1175/BAMS-D-18-0264.1."
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "NASA\u2019s Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA2); Gelaro, R., and Coauthors, 2017: The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2). J. Climate, 30, 5419\u20135454",
      "url": "https://doi.org/10.1175/JCLI-D-16-0758.1 ."
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "NASA\u2019s Goddard Earth Observing System version 2 (GEOS); Borovikov, A., R. Cullather, R. Kovach, J. Marshak, G. Vernieres, Y. Vikhliaev, B. Zhao, and Z. Li, 2019: GEOS-5 seasonal forecast system. Climate Dyn., 53, 7335\u20137361",
      "url": "https://doi.org/10.1007/S00382-017-3835-2"
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "Climate Hazards Group InfraRed Precipitation with Station data, version 2.0 (CHIRPS); Funk, C., and Coauthors, 2015: The climate hazards infrared precipitation with stations\u2014A new environmental record for monitoring extremes. Sci. Data, 2, 150066",
      "url": "https://doi.org/10.1038/sdata.2015.66"
    }
  ],
  "isPartOf": [
    {
      "type": "CreativeWork",
      "name": "This resource is referenced by",
      "description": "Cook, B. I., Slinski, K., Peters-Lidard, C., McNally, A., Arsenault, K., & Hazra, A. (2021). The efficacy of seasonal terrestrial water storage forecasts for predicting vegetation activity over Africa",
      "url": "Journal of Hydrometeorology.   https://doi.org/10.1175/JHM-D-21-0046.1"
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "NASA's Hydrological Forecast and Analysis System (NHyFAS); Arsenault, K.R., and Coauthors, 2020: The NASA hydrological forecast system for food and water security applications. Bull. Amer. Meteor. Soc., 101, E1007\u2013E1025",
      "url": "https://doi.org/10.1175/BAMS-D-18-0264.1."
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "NASA\u2019s Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA2); Gelaro, R., and Coauthors, 2017: The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2). J. Climate, 30, 5419\u20135454",
      "url": "https://doi.org/10.1175/JCLI-D-16-0758.1 ."
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "NASA\u2019s Goddard Earth Observing System version 2 (GEOS); Borovikov, A., R. Cullather, R. Kovach, J. Marshak, G. Vernieres, Y. Vikhliaev, B. Zhao, and Z. Li, 2019: GEOS-5 seasonal forecast system. Climate Dyn., 53, 7335\u20137361",
      "url": "https://doi.org/10.1007/S00382-017-3835-2"
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "Climate Hazards Group InfraRed Precipitation with Station data, version 2.0 (CHIRPS); Funk, C., and Coauthors, 2015: The climate hazards infrared precipitation with stations\u2014A new environmental record for monitoring extremes. Sci. Data, 2, 150066",
      "url": "https://doi.org/10.1038/sdata.2015.66"
    }
  ],
  "relation": [
    "annotation=NoneType required=False default=None title='Relation' description='All other types of relations'"
  ],
  "additionalProperty": null,
  "associatedMedia": [],
  "citation": [
    "Hazra, A. (2021). Terrestrial Water Storage Forecasts, HydroShare, https://doi.org/10.4211/hs.508fc30c230149d8b97977bea9c0f49b"
  ],
  "coordinates": null,
  "includedInDataCatalog": null,
  "sourceOrganization": null,
  "sharing_status": null,
  "additional_metadata": {},
  "viewCount": 2457,
  "content_types": [
    "NetCDFLogicalFile",
    "CompositeResource"
  ],
  "relations": [
    {
      "type": "CreativeWork",
      "name": "This resource is referenced by",
      "description": "Cook, B. I., Slinski, K., Peters-Lidard, C., McNally, A., Arsenault, K., & Hazra, A. (2021). The efficacy of seasonal terrestrial water storage forecasts for predicting vegetation activity over Africa",
      "url": "Journal of Hydrometeorology.   https://doi.org/10.1175/JHM-D-21-0046.1"
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "NASA's Hydrological Forecast and Analysis System (NHyFAS); Arsenault, K.R., and Coauthors, 2020: The NASA hydrological forecast system for food and water security applications. Bull. Amer. Meteor. Soc., 101, E1007\u2013E1025",
      "url": "https://doi.org/10.1175/BAMS-D-18-0264.1."
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "NASA\u2019s Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA2); Gelaro, R., and Coauthors, 2017: The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2). J. Climate, 30, 5419\u20135454",
      "url": "https://doi.org/10.1175/JCLI-D-16-0758.1 ."
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "NASA\u2019s Goddard Earth Observing System version 2 (GEOS); Borovikov, A., R. Cullather, R. Kovach, J. Marshak, G. Vernieres, Y. Vikhliaev, B. Zhao, and Z. Li, 2019: GEOS-5 seasonal forecast system. Climate Dyn., 53, 7335\u20137361",
      "url": "https://doi.org/10.1007/S00382-017-3835-2"
    },
    {
      "type": "CreativeWork",
      "name": "The content of this resource is derived from",
      "description": "Climate Hazards Group InfraRed Precipitation with Station data, version 2.0 (CHIRPS); Funk, C., and Coauthors, 2015: The climate hazards infrared precipitation with stations\u2014A new environmental record for monitoring extremes. Sci. Data, 2, 150066",
      "url": "https://doi.org/10.1038/sdata.2015.66"
    }
  ]
}