Global Land Use under SSP-RCP scenarios

Chen, Min; Vernon, Chris

doi:10.25584/data.2020-04.1187/1609025

Title: Global Land Use under SSP-RCP scenarios (in EN)

Dataset
Other Related Research

Abstract

This dataset includes global land use projections at 0.05-degree resolution under 15 SSP-RCP scenarios in the 21st century, produced by GCAM and Demeter and forced by five global climate models.

Authors:

Chen, Min; Vernon, Chris

PNNL

Publication Date:: Fri Apr 10 00:00:00 EDT 2020

Other Number(s):: Project ID: 68344; Instrument ID: 85000; Upload ID: 1187

DOE Contract Number:: AC05-76RL01830

Research Org.:: Pacific Northwest National Laboratory 2; PNNL

Sponsoring Org.:: SC; SC-23

Subject:: 54 ENVIRONMENTAL SCIENCES

OSTI Identifier:: 1609025

DOI:: https://doi.org/10.25584/data.2020-04.1187/1609025

Citation Formats


                    Chen, Min, and Vernon, Chris. Global Land Use under SSP-RCP scenarios.  United States: N. p., 2020. 
        Web.  doi:10.25584/data.2020-04.1187/1609025.

Copy to clipboard


                    Chen, Min, & Vernon, Chris. Global Land Use under SSP-RCP scenarios.  United States.  doi:https://doi.org/10.25584/data.2020-04.1187/1609025

Copy to clipboard


                    Chen, Min, and Vernon, Chris. 2020.  
"Global Land Use under SSP-RCP scenarios".  United States.  doi:https://doi.org/10.25584/data.2020-04.1187/1609025.  https://www.osti.gov/servlets/purl/1609025. Pub date:Fri Apr 10 00:00:00 EDT 2020

Copy to clipboard


                    
@article{osti_1609025,

  title        = {Global Land Use under SSP-RCP scenarios},

  author       = {Chen, Min and Vernon, Chris},

  abstractNote = {This dataset includes global land use projections at 0.05-degree resolution under 15 SSP-RCP scenarios in the 21st century, produced by GCAM and Demeter and forced by five global climate models.},

  doi          = {10.25584/data.2020-04.1187/1609025},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Apr 10 00:00:00 EDT 2020},

  month        = {Fri Apr 10 00:00:00 EDT 2020}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.25584/data.2020-04.1187/1609025

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

GCAM v4.3 SSP-RCP-GCM Output Products (in EN)

Dataset Graham, Neal T.

Supplemental dataset to: Graham N.T., M.I. Hejazi, M. Chen, E. Davies, J.A. Edmonds, S.H. Kim, and S. Turner, et al. 2020. "Humans drive future water scarcity changes across all Shared Socioeconomic Pathways." Environmental Research Letters 15, no. 1:Article No. 014007. PNNL-SA-151297. doi:10.1088/1748-9326/ab639b This analysis makes deterministic classifications of how, when water resources are limited and constrained, the human and climate systems interact. The relative effects of both systems on water scarcity are quantified at global and basin scales across 15 global futures that include five different socioeconomic conditions (the Shared Socioeconomic Pathways, SSPs) and four different climatic conditions (the Representativemore »« less
Global land use for 2015-2100 at 0.05° resolution under diverse socioeconomic and climate scenarios (in EN)

Dataset Chen, Min ; Vernon, Chris R ; Graham, Neal T ; ...

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 frommore »« less
Global and Regional Land-Use Change Emissions

Dataset Smith, S.J. ; Rothwell, A.

Regional carbon stocks, assumed NPP, and net land-use change emissions by ecosystem as estimated using historical land-use data and a simple carbon model. Net land-use change emissions are defined here as net emissions from the terrestrial system estimated without considering the effects of climate changes (e.g. temperature, precipitation).
A Comprehensive Precipitation Data Set for Global Land Areas (TR-051)

Dataset Eischeid, J. K. ; Diaz, H. F. ; Bradley, R. S. ; ...

An expanded and updated compilation of long-term station precipitation data, together with a new set of gridded monthly mean fields for global land areas, are described. The present data set contains 5328 station records of monthly total precipitation, covering the period from the mid-1800s to the late 1980s. The station data were individually tested and visually inspected for the presence of spurious trends, jumps, and other measurement biases. The quality control procedure which was used to check the station records for nonclimatic discontinuities and other biases is detailed. We also discuss some of the problems which typically contribute to potentialmore »« less
Simulated tree recruitment at PA-BCI under four precipitation scenarios

Dataset Hanbury-Brown, Adam ; Powell, Thomas ; Muller-Landau, Helene ; ...

Simulated recruitment rates are provided for four tropical tree plant functional types (PFTs) which vary in drought and shade tolerance, at Barro Colorado Island, Panama (PA-BCI). Recruitment rates are predicted using the Tree Recruitment Scheme (TRS; Hanbury-Brown et al., 2022) and model data output from the Ecosystem Demography model version 2 with hydrodynamics (ED2; Medvigy et al., 2009, Powell et al., 2018). Predictions of recruitment are provided under four precipitation scenarios: “BASE” = recycled 2008-2014 observed meteorology (Faybishenko & Paton, 2021), “SYN-ENSO” = two exceptionally strong El Niño events within 30 years (Powell et al., 2018), “WET” = 30% increasemore »« less

Similar Records