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

Chen, Min; Vernon, Chris R.; Graham, Neal T.; Hejazi, Mohamad; Huang, Maoyi; Cheng, Yanyan; Calvin, Katherine

doi:10.1038/s41597-020-00669-x

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

Journal Article · Fri Oct 02 00:00:00 EDT 2020 · Scientific Data

DOI:https://doi.org/10.1038/s41597-020-00669-x· OSTI ID:1669718

; Vernon, Chris R.; Graham, Neal T.; Hejazi, Mohamad; ; Cheng, Yanyan;

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.

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Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1669718

Alternate ID(s):: OSTI ID: 1674957

Journal Information:: Scientific Data, Journal Name: Scientific Data Journal Issue: 1 Vol. 7; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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