Download links for CMIP3-based climate data (subsampled at 4km)
This dataset below was created by Diana Stralberg, Xianli Wang, and Andreas Hamann. It is based on the Coupled Model Intercomparison Project phase 3 (CMIP3) database corresponding to the 4th IPCC Assessment Report (2009). Cite Stralberg et al 2015 Ecol Appl 25: 52-69 for usage.
The database was generated from a 1km digital elevation model, but sub-sampled at 4km vertical and horizontal intervals for a managable database size. This preserves the full range of climate values (as opposed to a 4km average), and captures elevational gradients, temperature inversions, and rain shadows in the mountenous landscape of western North America.
Two sets of variables are available for download in standard ESRI ASCII format. One comprises 20 biologically relevant variables, including seasonal and annual means, extremes, growing and chilling degree days, snow fall, potential evapotranspiration, and a number of drought indices. The second dataset consists of 36 monthly temperature and precipitation variables.
Note that these are older datasets hosted on a non-encrypted server, which triggers a security warning. The Chrome browser blocks the download links entirely, but you can use Microsoft Edge or Firefox to still download these files if you wish. Follow the > or ... link next to the security warning, then choose "allow download" or "download anyway".
20 Bioclimate variables (1961-1990 normal period) |
36 Monthly variables (1961-1990 normal period) |
Reference files:
Elev, ID, Boundary |
Meta data: Projection, Variables |
ASCII: |
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ASCII, Shape: |
Readme: , ESRI: |
AOGCM name, country of origin,
validation rank (lower is better)1 |
Emission scenario2 |
20 Bioclimate variables |
36 Monthly variables |
BCCR-BCM2.0, Norway, 17 |
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CCSM3, USA, 4 |
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CGCM 3.1 (T47), Canada, 7 |
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CGCM 3.1 (T63), Canada, 7 |
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CSIRO-Mk3.0, Australia, 6 |
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ECHO-G/MIUB, Germany/Korea, 6 |
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FGOALS-g1.0, China, 12 |
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GFDL-CM2.0, USA, 6 |
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GFDL-CM2.1, USA, 6 |
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GISS-AOM, USA, 13 |
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GISS-EH, USA, 19 |
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GISS-ER, USA, 12 |
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INM-CM3.0, Russia, 10 |
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IPSL-CM4, France, 10 |
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MIROC3.2 (hires), Japan, 6 |
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MIROC3.2 (medres), Japan, 7 |
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PCM, USA, 9 |
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UKMO-HadCM3, UK, 5 |
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1) Validation rank according to Stralberg et al 2015 Ecol Appl 25: 52-69, Appendix 1 (view PDF).
2) B1: low emission scenario, A1B: moderate emission scenario, A2: high emission scenario.
3) 2020s: average for years 2011-2040, 2050s: 2041-2070, 2080s: 2071-2100.