Projection of Forest Vegetation Change by Applying Future Climate Change Scenario MIROC3.2 A1B
نویسندگان
چکیده
منابع مشابه
A flood risk projection for Soleimantangeh Dam against future climate change
A sensitivity analysis of the flood safety of Solaimantangeh dam using a regional climate change simulation is presented. Based on the output of the CCSM (Community Climate Change System Model) general circulation model, the NIRCM (North of Iran Regional Climate Model) computes regional scale output with 50 km spatial resolution and 21 vertical layers. Using the SRES (Special Report Emission Sc...
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Probabilistic projection of climate change consists of formulating the climate change information in a probabilistic manner at either global or regional scale. This can produce useful results for studies of the impact of climate change impact and change mitigation. In the present study, a simple yet effective approach is proposed with the purpose of producing probabilistic results of climate ch...
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این مقاله فاقد چکیده میباشد.
متن کاملClimate change and forest diseases
R. N. Sturrock*, S. J. Frankel, A. V. Brown, P. E. Hennon, J. T. Kliejunas, K. J. Lewis, J. J. Worrall and A. J. Woods Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 506 West Burnside Road, Victoria, British Columbia, V8Z 1M5, Canada; USDA-Forest Service, Pacific Southwest Research Station, 800 Buchanan Street, Albany, California 94710, USA; UK Forestry Commission, ...
متن کاملa flood risk projection for soleimantangeh dam against future climate change
a sensitivity analysis of the flood safety of solaimantangeh dam using a regional climate change simulation is presented. based on the output of the ccsm (community climate change system model) general circulation model, the nircm (north of iran regional climate model) computes regional scale output with 50 km spatial resolution and 21 vertical layers. using the sres (special report emission sc...
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ژورنال
عنوان ژورنال: Journal of the Korean Association of Geographic Information Studies
سال: 2012
ISSN: 1226-9719
DOI: 10.11108/kagis.2012.15.1.064