{
  "creator": {
    "name": "Carbon Portal",
    "self": {
      "comments": [],
      "label": "CP",
      "uri": "http://meta.icos-cp.eu/resources/organizations/CP"
    }
  },
  "description": "The product is generated in 2021. LPJ-GUESS (revision 6562) forced with hourly ERA5 climate datasets to simulate global terrestrial NEE, GPP and total respiration in 0.5 degree.  LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations) as input to simulate the effects of environmental change on vegetation structure and composition in terms of plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).",
  "doi": "10.18160/AZ1G-QXXU",
  "hash": "6Th6SMeqvOONmLndUGELf-E9",
  "latestVersion": "https://meta.icos-cp.eu/collections/f6O_G0nGkC7Adz6uI3j96ibj",
  "members": [{
    "hash": "HRsZCwNLCPGTeA4hN2j-M_IJQKC1vAW4p-QrDvd855w",
    "name": "LPJ-GUESS global hourly GPP for 2017",
    "res": "https://meta.icos-cp.eu/objects/HRsZCwNLCPGTeA4hN2j-M_IJ"
  }, {
    "hash": "U_wAtQxm-w_3q3C6da3NIddSfMk2IExQREURhzcL2MQ",
    "name": "LPJ-GUESS global hourly GPP for 2018",
    "res": "https://meta.icos-cp.eu/objects/U_wAtQxm-w_3q3C6da3NIddS"
  }, {
    "hash": "lSflvkMxh9PeVghCFhrw7kt30OpQS0T1cxzAlW54Rcs",
    "name": "LPJ-GUESS global hourly GPP for 2019",
    "res": "https://meta.icos-cp.eu/objects/lSflvkMxh9PeVghCFhrw7kt3"
  }, {
    "hash": "OvTAVPJXS80fU4PoJhuQE32VbDMl_-a4Rtgci6eU26c",
    "name": "LPJ-GUESS global hourly GPP for 2020",
    "res": "https://meta.icos-cp.eu/objects/OvTAVPJXS80fU4PoJhuQE32V"
  }, {
    "hash": "yUsFQCX9GsEEW51xwleFE_0ghkDK8hRZr8lZu8BWh_w",
    "name": "LPJ-GUESS global hourly NEE for 2017",
    "res": "https://meta.icos-cp.eu/objects/yUsFQCX9GsEEW51xwleFE_0g"
  }, {
    "hash": "kv2-2LjgnrZg6gqYp8ysKvQ57IItDsV4yTsYTuyeD3I",
    "name": "LPJ-GUESS global hourly NEE for 2018",
    "res": "https://meta.icos-cp.eu/objects/kv2-2LjgnrZg6gqYp8ysKvQ5"
  }, {
    "hash": "Nx0wIUbM4ZP1xaRx2Ak9VRK6qPtYKV2pfyAvghyn1EE",
    "name": "LPJ-GUESS global hourly NEE for 2019",
    "res": "https://meta.icos-cp.eu/objects/Nx0wIUbM4ZP1xaRx2Ak9VRK6"
  }, {
    "hash": "Gw4PwkdLVyqBWxeP2L2nyOXV-EojTnGag8poTTyoN5w",
    "name": "LPJ-GUESS global hourly NEE for 2020",
    "res": "https://meta.icos-cp.eu/objects/Gw4PwkdLVyqBWxeP2L2nyOXV"
  }, {
    "hash": "PR2VAvb7d02zX4PMJz8RJS8eHubIb9mE3FShSPq8pO4",
    "name": "LPJ-GUESS global hourly RTOT for 2017",
    "res": "https://meta.icos-cp.eu/objects/PR2VAvb7d02zX4PMJz8RJS8e"
  }, {
    "hash": "wlKTe4dwT6XoAzM1wv7qRKKbDArA2ntG9EfZu4k75u0",
    "name": "LPJ-GUESS global hourly RTOT for 2018",
    "res": "https://meta.icos-cp.eu/objects/wlKTe4dwT6XoAzM1wv7qRKKb"
  }, {
    "hash": "4wmAI8EE9bf7tzPA2wyR7rJUBL9ll42wVZ-8nDoXKdM",
    "name": "LPJ-GUESS global hourly RTOT for 2019",
    "res": "https://meta.icos-cp.eu/objects/4wmAI8EE9bf7tzPA2wyR7rJU"
  }, {
    "hash": "wiYzpmXW4n8PrM1u_F-Fm8Z442vJyLPPRRw647NJI2I",
    "name": "LPJ-GUESS global hourly RTOT for 2020",
    "res": "https://meta.icos-cp.eu/objects/wiYzpmXW4n8PrM1u_F-Fm8Z4"
  }],
  "nextVersion": "https://meta.icos-cp.eu/collections/GDNkG_i3n6BlK9UaGNF5gb2D",
  "parentCollections": [],
  "references": {
    "citationBibTex": "@misc{https://doi.org/10.18160/az1g-qxxu,\n  doi = {10.18160/AZ1G-QXXU},\n  url = {https://meta.icos-cp.eu/collections/6Th6SMeqvOONmLndUGELf-E9},\n  author = {Wu, Zhendong},\n  keywords = {Terrestrial Ecosystems, Land Biogeochemistry, Land Surface, Carbon cycle},\n  title = {Global hourly NEE, GPP and total respiration for 2017-2020 based on LPJ-GUESS (generated in 2021)},\n  publisher = {ICOS ERIC - Carbon Portal},\n  year = {2022},\n  copyright = {Creative Commons Attribution 4.0 International}\n}",
    "citationRis": "TY  - DATA\r\nT1  - Global hourly NEE, GPP and total respiration for 2017-2020 based on LPJ-GUESS (generated in 2021)\r\nAU  - Wu, Zhendong\r\nDO  - 10.18160/AZ1G-QXXU\r\nUR  - https://meta.icos-cp.eu/collections/6Th6SMeqvOONmLndUGELf-E9\r\nAB  - The product is generated in 2021. LPJ-GUESS (revision 6562) forced with hourly ERA5 climate datasets to simulate global terrestrial NEE, GPP and total respiration in 0.5 degree.  LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations) as input to simulate the effects of environmental change on vegetation structure and composition in terms of plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).\r\nKW  - Terrestrial Ecosystems\r\nKW  - Land Biogeochemistry\r\nKW  - Land Surface\r\nKW  - Carbon cycle\r\nPY  - 2022\r\nPB  - ICOS ERIC - Carbon Portal\r\nER  -",
    "citationString": "Wu, Z., 2022. Global hourly NEE, GPP and total respiration for 2017-2020 based on LPJ-GUESS (generated in 2021). https://doi.org/10.18160/AZ1G-QXXU",
    "doi": {
      "contributors": [{
        "affiliation": [{
          "name": "Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden"
        }],
        "contributorType": "Researcher",
        "familyName": "Michurow",
        "givenName": "Michael",
        "nameIdentifiers": [],
        "nameType": "Personal"
      }, {
        "affiliation": [{
          "name": "Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden"
        }],
        "contributorType": "Researcher",
        "familyName": "Miller",
        "givenName": "Paul",
        "nameIdentifiers": [],
        "nameType": "Personal"
      }],
      "creators": [{
        "affiliation": [{
          "name": "ICOS ERIC Carbon Portal at Lund University"
        }],
        "familyName": "Wu",
        "givenName": "Zhendong",
        "nameIdentifiers": [{
          "nameIdentifier": "0000-0003-1435-9105",
          "nameIdentifierScheme": "ORCID",
          "schemeUri": "http://orcid.org/"
        }],
        "nameType": "Personal"
      }],
      "dates": [{
        "date": "2021-10-20",
        "dateType": "Created"
      }],
      "descriptions": [{
        "description": "The product is generated in 2021. LPJ-GUESS (revision 6562) forced with hourly ERA5 climate datasets to simulate global terrestrial NEE, GPP and total respiration in 0.5 degree.  LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations) as input to simulate the effects of environmental change on vegetation structure and composition in terms of plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).",
        "descriptionType": "Abstract",
        "lang": "en-uk"
      }],
      "doi": "10.18160/AZ1G-QXXU",
      "formats": ["NetCDF"],
      "fundingReferences": [],
      "geoLocations": [],
      "publicationYear": 2022,
      "publisher": "ICOS ERIC - Carbon Portal",
      "rightsList": [{
        "rights": "Creative Commons Attribution 4.0 International",
        "rightsUri": "https://creativecommons.org/licenses/by/4.0/legalcode"
      }],
      "state": "findable",
      "subjects": [{
        "subject": "Terrestrial Ecosystems"
      }, {
        "subject": "Land Biogeochemistry"
      }, {
        "subject": "Land Surface"
      }, {
        "subject": "Carbon cycle"
      }],
      "titles": [{
        "lang": "en-uk",
        "title": "Global hourly NEE, GPP and total respiration for 2017-2020 based on LPJ-GUESS (generated in 2021)"
      }],
      "types": {
        "resourceType": "Digital",
        "resourceTypeGeneral": "Dataset"
      },
      "url": "https://meta.icos-cp.eu/collections/6Th6SMeqvOONmLndUGELf-E9",
      "version": "1.0"
    },
    "title": "Global hourly NEE, GPP and total respiration for 2017-2020 based on LPJ-GUESS (generated in 2021)"
  },
  "res": "https://meta.icos-cp.eu/collections/6Th6SMeqvOONmLndUGELf-E9",
  "title": "Global hourly NEE, GPP and total respiration for 2017-2020 based on LPJ-GUESS (generated in 2021)"
}