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Title: Global land use for 2015-2100 at 0.05° resolution under diverse socioeconomic and climate scenarios (in EN)

Abstract

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 land use spatial downscaling model, named Demeter, under the five Shared Socioeconomic Pathways (SSPs) and four Representative Concentration Pathways (RCPs) scenarios. Compared to existing similar datasets, the presented dataset has a higher spatial resolution (0.05°×0.05°) and spreads under a more comprehensive set of SSP-RCP scenarios (in total 15 scenarios), and considers uncertainties from the forcing climates. We compared our dataset with the Land Use Harmonization version 2 (LUH2) dataset and found our results are in general spatially consistent with LUH2. 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.

Authors:
; ; ; ; ; ;
Publication Date:
Other Number(s):
Project ID: 68344; Instrument ID: 85000; Upload ID: 1357
DOE Contract Number:  
AC05-76RL01830
Product Type:
Dataset
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
SC-23
Subject:
54 ENVIRONMENTAL SCIENCES
OSTI Identifier:
1644253
DOI:
https://doi.org/10.25584/data.2020-07.1357/1644253

Citation Formats

Chen, Min, Vernon, Chris R, Graham, Neal T, Hejazi, Mohamad, Huang, Maoyi, Cheng, Yanyan, and Calvin, Katherine. Global land use for 2015-2100 at 0.05° resolution under diverse socioeconomic and climate scenarios. United States: N. p., 2020. Web. doi:10.25584/data.2020-07.1357/1644253.
Chen, Min, Vernon, Chris R, Graham, Neal T, Hejazi, Mohamad, Huang, Maoyi, Cheng, Yanyan, & Calvin, Katherine. Global land use for 2015-2100 at 0.05° resolution under diverse socioeconomic and climate scenarios. United States. doi:https://doi.org/10.25584/data.2020-07.1357/1644253
Chen, Min, Vernon, Chris R, Graham, Neal T, Hejazi, Mohamad, Huang, Maoyi, Cheng, Yanyan, and Calvin, Katherine. 2020. "Global land use for 2015-2100 at 0.05° resolution under diverse socioeconomic and climate scenarios". United States. doi:https://doi.org/10.25584/data.2020-07.1357/1644253. https://www.osti.gov/servlets/purl/1644253. Pub date:Sun Aug 02 00:00:00 EDT 2020
@article{osti_1644253,
title = {Global land use for 2015-2100 at 0.05° resolution under diverse socioeconomic and climate scenarios},
author = {Chen, Min and Vernon, Chris R and Graham, Neal T and Hejazi, Mohamad and Huang, Maoyi and Cheng, Yanyan and Calvin, Katherine},
abstractNote = {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 land use spatial downscaling model, named Demeter, under the five Shared Socioeconomic Pathways (SSPs) and four Representative Concentration Pathways (RCPs) scenarios. Compared to existing similar datasets, the presented dataset has a higher spatial resolution (0.05°×0.05°) and spreads under a more comprehensive set of SSP-RCP scenarios (in total 15 scenarios), and considers uncertainties from the forcing climates. We compared our dataset with the Land Use Harmonization version 2 (LUH2) dataset and found our results are in general spatially consistent with LUH2. 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.},
doi = {10.25584/data.2020-07.1357/1644253},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {8}
}

Works referenced in this record:

GCAM-Demeter-LU
dataset, January 2020