Number of months with mean temperature < 0°C, 2046-2065, MIROC A2, 4 km resolution

Jun 1, 2012
Description:
: Number of months/year with mean temperature < 0°C (averaged over 2046-2065) simulated by the MC1 dynamic global vegetation model (Bachelet et al. 2001) at a 4 km x 4 km spatial resolution using future climate projections provided through CMIP3 (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php).

Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections, in this case MIROC 3.2 medres (Hasumi and Emori 2004) under the A2 emission scenario (Naki?enovi? et al. 2000). The deltas (differences for temperatures and ratios for precipitation) were used to modify PRISM 4km historical baseline (Daly et al. 1994).

Note: The MC1 model is described in data basin (http://databasin.org/climate-center/features/mc1-dynamic-global-vegetation-model).

References:

Bachelet D., R.P. Neilson, J. M. Lenihan, and R.J. Drapek. 2001. Climate change effects on vegetation distribution and carbon budget in the U.S. Ecosystems 4:164-185.

Daly, C., R.P. Neilson, and D.L. Phillips. 1994. A statistical topographic model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology 33:140–158.

Hasumi, H., and S. Emori, Eds. 2004. K?1 Coupled GCM (MIROC) Description, K?1 Tech. Rep. 1, 34 pp., Cent. for Clim. Syst. Res., Tokyo, Japan. Available online at http://www.ccsr.u?tokyo.ac.jp/kyosei/hasumi/MIROC/tech?repo.pdf

Naki?enovi?, N. and R. Swart, Eds.  2000. Emissions Scenarios: A Special Report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge Univ. Press, Cambridge, U. K.
Data Provided By:
Conservation Biology Institute
Content date:
2046-2065
Citation:
Unpublished data
Spatial Resolution:
4291.900511642935 (meter)
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not specified
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Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 3.0 License.
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Conservation Biology Institute

The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.