High-resolution BIOCLIM and ENVIREM grids for Europe in consecutive 100-year bins spanning the last 21,000 years
Authors/Creators
- 1. Department of Botany and Zoology, Masaryk University, Brno 611 37, Czech Republic
Description
Here, I provide a dataset of gridded climatic variables at a spatial resolution of 30 arc-seconds for 210 consecutive 100-year bins spanning the period from 21,000 to 0 BP. The dataset includes 19 bioclimatic and 16 ENVIREM variables (described by Title & Bemmels, 2018) commonly used in species distribution modelling. It covers the European continent and adjacent regions within the following boundaries: 32.5°W–70°E and 32.5°N–82.5°N.
For each 100-year bin, bioclimatic and ENVIREM variables were calculated based on the downscaled and debiased monthly temperature and precipitation simulations of the Community Climate System Model version 3 (CCSM3; Collins et al., 2006) as provided by the PaleoView software (Fordham et al., 2017). The downscaling procedure was based on the delta-change method (Ramirez Villejas & Jarvis, 2010). As a baseline climatic data, I used monthly temperature and precipitation grids from the CHELSA database for 1940–1989 (Karger et al., 2017).
A detailed description of the dataset, including the downscaling method applied, can be found in the Technical specification attached to this dataset.
Files
annualPET_Holocene_v1.0.zip
Files
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Additional details
Related works
- Is source of
- Journal article: 10.1016/j.quascirev.2020.106367 (DOI)
References
- Collins, W. D., Bitz, C. M., Blackmon, M. L., Bonan, G. B., Bretherton, C. S., Carton, J. A., Chang, P., Doney, S. C., Hack, J. J., Henderson, T. B., Kiehl, J. T., Large, W. G., McKenna, D. S., Santer, B. D., & Smith, R. D. (2006). The Community Climate System Model Version 3 (CCSM3). Journal of Climate, 19(11), 2122–2143. https://doi.org/10.1175/JCLI3761.1
- Fordham, D. A., Saltré, F., Haythorne, S., Wigley, T. M. L., Otto‐Bliesner, B. L., Chan, K. C., & Brook, B. W. (2017). PaleoView: A tool for generating continuous climate projections spanning the last 21 000 years at regional and global scales. Ecography, 40(11), 1348–1358. https://doi.org/10.1111/ecog.03031
- Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., & Kessler, M. (2017). Climatologies at high resolution for the earth's land surface areas. Scientific Data, 4, 170122. https://doi.org/10.1038/sdata.2017.122
- Ramirez Villejas, J., & Jarvis, A. (2010). Downscaling global circulation model outputs: The delta method. Decision and Policy Analysis Working Paper No. 1. International Center for Tropical Agriculture (CIAT). Cali. CO.
- Title, P. O., & Bemmels, J. B. (2018). ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. Ecography, 41(2), 291–307. https://doi.org/10.1111/ecog.02880