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Title: Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios

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:
ORCiD logo; ; ; ; ORCiD logo; ; ORCiD logo
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1669718
Alternate Identifier(s):
OSTI ID: 1674957
Report Number(s):
PNNL-SA-155943
Journal ID: ISSN 2052-4463; 320; PII: 669
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article: Published Article
Journal Name:
Scientific Data
Additional Journal Information:
Journal Name: Scientific Data Journal Volume: 7 Journal Issue: 1; Journal ID: ISSN 2052-4463
Publisher:
Nature Publishing Group
Country of Publication:
United Kingdom
Language:
English
Subject:
GCAM; MSD; Demeter; land use and land cover change; SSP; RCP; climate; climate and earth system modelling; projection and prediction

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 Kingdom: N. p., 2020. Web. doi:10.1038/s41597-020-00669-x.
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 Kingdom. doi:10.1038/s41597-020-00669-x.
Chen, Min, Vernon, Chris R., Graham, Neal T., Hejazi, Mohamad, Huang, Maoyi, Cheng, Yanyan, and Calvin, Katherine. Fri . "Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios". United Kingdom. doi:10.1038/s41597-020-00669-x.
@article{osti_1669718,
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 = {10.1038/s41597-020-00669-x},
journal = {Scientific Data},
issn = {2052-4463},
number = 1,
volume = 7,
place = {United Kingdom},
year = {2020},
month = {10}
}

Journal Article:
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