Physics
Scientific paper
Oct 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004eostr..85..417b&link_type=abstract
EOS Transactions, AGU, Volume 85, Issue 42, p. 417-422
Physics
16
Meteorology And Atmospheric Dynamics: Climatology (1620), Meteorology And Atmospheric Dynamics: General Or Miscellaneous, Meteorology And Atmospheric Dynamics: Instruments And Techniques
Scientific paper
Research into possible impacts of a climate change requires descriptions of local and regional descriptions of climate. For instance, the local and regional aspect of a climate change is stressed in the U.S. Strategic Plan for the Climate Change Science Program (CCSP) (http://www.climatescience.gov/Library/stratplan2003/default.htm). Global climate models (GCMs) are important tools for studying climate change and making projections for the future. Although GCMs provide realistic representations of large-scale aspects of climate, they generally do not give good descriptions of the local and regional scales. It is nevertheless possible to relate large-scale climatic features to smaller spatial scales. There are two main approaches for deriving information on local or regional scales from the global climate scenarios generated by GCMs: (1) numerical downscaling (also known as ``dynamical downscaling'') involving a nested regional climate model (RCM) or (2) empirical-statistical downscaling employing statistical relationships between the large-scale climatic state and local variations derived from historical data records.
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