Demeter Input Files for 0.05 degree LULCC from GCAM SSP/RCP/GCM Scenario Runs
Global future land use (LU) is an important input for Earth system models for projecting Earth system dynamics and is critical for many modeling studies on future global change. Here we generated a new global gridded LU dataset using the Global Change Analysis Model (GCAM ) and a geospatial downscal...
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ftdatacite:10.5281/zenodo.3750004 2023-05-15T13:53:29+02:00 Demeter Input Files for 0.05 degree LULCC from GCAM SSP/RCP/GCM Scenario Runs Chen, Min Vernon, Chris R. 2020 https://dx.doi.org/10.5281/zenodo.3750004 https://zenodo.org/record/3750004 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3713378 https://dx.doi.org/10.5281/zenodo.3750003 Open Access BSD 2-Clause "Simplified" License https://opensource.org/licenses/BSD-2-Clause bsd-2-clause info:eu-repo/semantics/openAccess BSD Demeter LULCC GCAM SSP dataset Dataset 2020 ftdatacite https://doi.org/10.5281/zenodo.3750004 https://doi.org/10.5281/zenodo.3713378 https://doi.org/10.5281/zenodo.3750003 2021-11-05T12:55:41Z Global future land use (LU) is an important input for Earth system models for projecting Earth system dynamics and is critical for many modeling studies on future global change. Here we generated a new global gridded LU dataset using the Global Change Analysis Model (GCAM ) and a geospatial downscaling model (Demeter) under diverse Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs) scenarios. Compared to existing similar datasets, the presented dataset has a higher spatial resolution (0.05°×0.05°) and is spread under more diverse SSP-RCP scenarios (in total 15 scenarios), and considers uncertainties from the forcing climates. The presented dataset will be useful for global Earth system modeling studies, especially for the analysis of the impacts of land use and land cover change and socioeconomics, as well as the characterizing the uncertainties associated with these impacts. The dataset includes the inputs for Demeter to produce 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). See https://github.com/JGCRI/chen_et_al_2020a for details on how to reproduce this experiment. Dataset Antarc* Antarctic DataCite Metadata Store (German National Library of Science and Technology) Antarctic The Antarctic |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
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language |
unknown |
topic |
Demeter LULCC GCAM SSP |
spellingShingle |
Demeter LULCC GCAM SSP Chen, Min Vernon, Chris R. Demeter Input Files for 0.05 degree LULCC from GCAM SSP/RCP/GCM Scenario Runs |
topic_facet |
Demeter LULCC GCAM SSP |
description |
Global future land use (LU) is an important input for Earth system models for projecting Earth system dynamics and is critical for many modeling studies on future global change. Here we generated a new global gridded LU dataset using the Global Change Analysis Model (GCAM ) and a geospatial downscaling model (Demeter) under diverse Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs) scenarios. Compared to existing similar datasets, the presented dataset has a higher spatial resolution (0.05°×0.05°) and is spread under more diverse SSP-RCP scenarios (in total 15 scenarios), and considers uncertainties from the forcing climates. The presented dataset will be useful for global Earth system modeling studies, especially for the analysis of the impacts of land use and land cover change and socioeconomics, as well as the characterizing the uncertainties associated with these impacts. The dataset includes the inputs for Demeter to produce 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). See https://github.com/JGCRI/chen_et_al_2020a for details on how to reproduce this experiment. |
format |
Dataset |
author |
Chen, Min Vernon, Chris R. |
author_facet |
Chen, Min Vernon, Chris R. |
author_sort |
Chen, Min |
title |
Demeter Input Files for 0.05 degree LULCC from GCAM SSP/RCP/GCM Scenario Runs |
title_short |
Demeter Input Files for 0.05 degree LULCC from GCAM SSP/RCP/GCM Scenario Runs |
title_full |
Demeter Input Files for 0.05 degree LULCC from GCAM SSP/RCP/GCM Scenario Runs |
title_fullStr |
Demeter Input Files for 0.05 degree LULCC from GCAM SSP/RCP/GCM Scenario Runs |
title_full_unstemmed |
Demeter Input Files for 0.05 degree LULCC from GCAM SSP/RCP/GCM Scenario Runs |
title_sort |
demeter input files for 0.05 degree lulcc from gcam ssp/rcp/gcm scenario runs |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://dx.doi.org/10.5281/zenodo.3750004 https://zenodo.org/record/3750004 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
https://dx.doi.org/10.5281/zenodo.3713378 https://dx.doi.org/10.5281/zenodo.3750003 |
op_rights |
Open Access BSD 2-Clause "Simplified" License https://opensource.org/licenses/BSD-2-Clause bsd-2-clause info:eu-repo/semantics/openAccess |
op_rightsnorm |
BSD |
op_doi |
https://doi.org/10.5281/zenodo.3750004 https://doi.org/10.5281/zenodo.3713378 https://doi.org/10.5281/zenodo.3750003 |
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1766258638498824192 |