GCAM-Demeter LU dataset
The dataset includes the projected global gridded land cover (excluding the Antarctic) for the period of 2015-2100 at 0.05-degree resolution and 5-year time step under fifteen SSP-RCP scenarios driven by five GCMs (i.e., gfdl, hadgem, ipsl, miroc, and noresm), using the Global Change Analysis Model...
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ftosti:oai:osti.gov:1614678 2023-07-30T03:57:01+02:00 GCAM-Demeter LU dataset Chen, Min Vernon, Chris 2023-03-10 application/pdf http://www.osti.gov/servlets/purl/1614678 https://www.osti.gov/biblio/1614678 https://doi.org/10.25584/data.2020-04.1188/1614678 unknown http://www.osti.gov/servlets/purl/1614678 https://www.osti.gov/biblio/1614678 https://doi.org/10.25584/data.2020-04.1188/1614678 doi:10.25584/data.2020-04.1188/1614678 54 ENVIRONMENTAL SCIENCES 2023 ftosti https://doi.org/10.25584/data.2020-04.1188/1614678 2023-07-11T09:41:28Z The dataset includes the projected global gridded land cover (excluding the Antarctic) for the period of 2015-2100 at 0.05-degree resolution and 5-year time step under fifteen SSP-RCP scenarios driven by five GCMs (i.e., gfdl, hadgem, ipsl, miroc, and noresm), using the Global Change Analysis Model (GCAM) and a geospatial downscaling model (Demeter). The data has been stored in self-describing NetCDF format. The dataset also includes the mean and standard deviation of the results driven by the five GCMs. More specifically, the data in each year includes grid-explicit fraction (in percent) of each of the 32 plant functional types that are widely used in current Earth system models. The NetCDF files are named as “GCAM_Demeter_LU_SSP_RCP_Model_Year.nc”, where “SSP” and “RCP” denote the SSP and RCP scenarios, including 'ssp1_rcp26', 'ssp1_rcp45', 'ssp1_rcp60', 'ssp2_rcp26', 'ssp2_rcp45', 'ssp2_rcp60', 'ssp3_rcp45', 'ssp3_rcp60', 'ssp4_rcp26', 'ssp4_rcp45', 'ssp4_rcp60', 'ssp5_rcp26', 'ssp5_rcp45', 'ssp5_rcp60', and 'ssp5_rcp85'. “Year” denotes the year of the land use data, and “GCM” denotes the source driving forcing data from five global climate models (gfdl, hadgem, ipsl, miroc, and noresm), or the mean (“modelmean”) and the standard deviation (“modelstd”) of the results from the five GCMs. Other/Unknown Material Antarc* Antarctic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Antarctic The Antarctic |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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54 ENVIRONMENTAL SCIENCES |
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54 ENVIRONMENTAL SCIENCES Chen, Min Vernon, Chris GCAM-Demeter LU dataset |
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54 ENVIRONMENTAL SCIENCES |
description |
The dataset includes the projected global gridded land cover (excluding the Antarctic) for the period of 2015-2100 at 0.05-degree resolution and 5-year time step under fifteen SSP-RCP scenarios driven by five GCMs (i.e., gfdl, hadgem, ipsl, miroc, and noresm), using the Global Change Analysis Model (GCAM) and a geospatial downscaling model (Demeter). The data has been stored in self-describing NetCDF format. The dataset also includes the mean and standard deviation of the results driven by the five GCMs. More specifically, the data in each year includes grid-explicit fraction (in percent) of each of the 32 plant functional types that are widely used in current Earth system models. The NetCDF files are named as “GCAM_Demeter_LU_SSP_RCP_Model_Year.nc”, where “SSP” and “RCP” denote the SSP and RCP scenarios, including 'ssp1_rcp26', 'ssp1_rcp45', 'ssp1_rcp60', 'ssp2_rcp26', 'ssp2_rcp45', 'ssp2_rcp60', 'ssp3_rcp45', 'ssp3_rcp60', 'ssp4_rcp26', 'ssp4_rcp45', 'ssp4_rcp60', 'ssp5_rcp26', 'ssp5_rcp45', 'ssp5_rcp60', and 'ssp5_rcp85'. “Year” denotes the year of the land use data, and “GCM” denotes the source driving forcing data from five global climate models (gfdl, hadgem, ipsl, miroc, and noresm), or the mean (“modelmean”) and the standard deviation (“modelstd”) of the results from the five GCMs. |
author |
Chen, Min Vernon, Chris |
author_facet |
Chen, Min Vernon, Chris |
author_sort |
Chen, Min |
title |
GCAM-Demeter LU dataset |
title_short |
GCAM-Demeter LU dataset |
title_full |
GCAM-Demeter LU dataset |
title_fullStr |
GCAM-Demeter LU dataset |
title_full_unstemmed |
GCAM-Demeter LU dataset |
title_sort |
gcam-demeter lu dataset |
publishDate |
2023 |
url |
http://www.osti.gov/servlets/purl/1614678 https://www.osti.gov/biblio/1614678 https://doi.org/10.25584/data.2020-04.1188/1614678 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
http://www.osti.gov/servlets/purl/1614678 https://www.osti.gov/biblio/1614678 https://doi.org/10.25584/data.2020-04.1188/1614678 doi:10.25584/data.2020-04.1188/1614678 |
op_doi |
https://doi.org/10.25584/data.2020-04.1188/1614678 |
_version_ |
1772815595542151168 |