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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Bibliographic Details
Main Authors: Chen, Min, Vernon, Chris
Format: Dataset
Language:English
Published: Pacific Northwest National Laboratory 2; PNNL 2020
Subjects:
Online Access:https://dx.doi.org/10.25584/data.2020-04.1188/1614678
https://www.osti.gov/servlets/purl/1614678/
id ftdatacite:10.25584/data.2020-04.1188/1614678
record_format openpolar
spelling ftdatacite:10.25584/data.2020-04.1188/1614678 2023-05-15T13:56:56+02:00 GCAM-Demeter LU dataset ... Chen, Min Vernon, Chris 2020 https://dx.doi.org/10.25584/data.2020-04.1188/1614678 https://www.osti.gov/servlets/purl/1614678/ en eng Pacific Northwest National Laboratory 2; PNNL 54 ENVIRONMENTAL SCIENCES dataset Specialized Mix Dataset 2020 ftdatacite https://doi.org/10.25584/data.2020-04.1188/1614678 2023-04-03T13:08:57Z 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', ... Dataset Antarc* Antarctic DataCite Metadata Store (German National Library of Science and Technology) Antarctic The Antarctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Chen, Min
Vernon, Chris
GCAM-Demeter LU dataset ...
topic_facet 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', ...
format Dataset
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 ...
publisher Pacific Northwest National Laboratory 2; PNNL
publishDate 2020
url https://dx.doi.org/10.25584/data.2020-04.1188/1614678
https://www.osti.gov/servlets/purl/1614678/
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_doi https://doi.org/10.25584/data.2020-04.1188/1614678
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