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Biomes simulated by BIOME4 using CESM2 lig127k, midHolocene, and piControl climate data on a global 0.5-degree grid

Metadata Updated: July 6, 2024

This data set consists of simulated biomes for the last interglacial (127 ka), middle Holocene (6 ka), and preindustrial (1850 CE) time periods displayed in Figure 14 of Otto-Bliesner et al. (2020). Biomes were simulated with BIOME4 (ver. 4.2, https://pmip2.lsce.ipsl.fr/synth/biome4.shtml; Kaplan et al., 2003, https://doi.org/10.1029/2002JD002559), an equilibrium vegetation model, using CESM2 (ver. 2.1.0) simulated climate data produced under PMIP4/CMIP6 (Paleoclimate Modelling Intercomparison Project phase 4 / Coupled Model Intercomparison Project phase 6) lig127k, midHolocene, and piControl experiments (Otto-Bliesner et al., 2017, https://doi.org/10.5194/gmd-10-3979-2017; Otto-Bliesner et al., 2020, https://doi.org/10.1029/2020PA003957). To create input climate data for BIOME4, we used CESM2 reference-height temperature (tas), total precipitation rate (pr), and vertically integrated total cloud (clt), with tas converted from K to degrees C, pr converted to monthly total precipitation (mm) from precipitation rate (kg/m2/s), and clt converted from decimal fraction to %. The climate data were regridded to a 0.5-degree global grid using bilinear interpolation and bias-corrected by calculating long-term mean differences (lig127k minus piControl, midHolocene minus piControl, piControl minus historical 1961-1990 CE 30-year mean) and applying the differences to CRU CL 2.0 (1961-1990 CE 30-year mean) climate data (New et al., 2002, https://doi.org/10.3354/cr021001), also on a 0.5-degree grid. The lig127k and midHolocene data were calendar adjusted using PaleoCalAdjust (v1.0; Bartlein and Shafer, 2019, https://doi.org/10.5194/gmd-12-3889-2019). Cloud data were converted to sunshine (%) using the approach of Doorenbos and Pruitt (1977, http://www.fao.org/3/a-f2430e.pdf). This approach follows closely that described in more detail by Harrison et al. (2014, https://doi.org/10.1007/s00382-013-1922-6). Other BIOME4 input data included orbital eccentricity (ecc) and obliquity (obliq) values for each time period (Bartlein and Shafer, 2019). Atmospheric CO2 concentration was 275.0 ppm for 127 ka, 264.4 ppm for 6 ka, and 284.7 ppm for 1850 CE (Otto-Bliesner et al., 2020).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
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Identifier USGS:5fad7ca9d34eb413d5df46c8
Data Last Modified 20201202
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
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Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -180.0,-90.0,180.0,90.0
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash c9081e75945c5260f5c5861f13e5d48e27fda7ba7623eaabdf66c9ecdb2c4644
Source Schema Version 1.1
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