Regional Climate Information—Evaluation and Projections

著者: Filippo Giorgi, Jens Hesselbjerg Christensen, Mike Hulme, Hans von Storch, P. H. Whetton, Richard Jones, Linda Mearns, Congbin Fu, R. W. Arritt, B. C. Bates, Rasmus Benestad, G. J. Boer, A. Buishand, M. Castro, Dongdong Chen, Wolfgang Crämer, Robert G. Crane, J. Crossly, Martin Dehn, Klaus Dethloff, Joachim W. Dippner, Seita Emori, R Francisco, John C. Fyfe, Friedrich‐Wilhelm Gerstengarbe, William J. Gutowski, Dimitrios Gyalistras, Inger Hanssen‐Bauer, Michael Hantel, David Hassell, Dietrich Heimann, Christopher Jack, Jucundus Jacobeit, Hisashi Kato‐Noguchi, Richard W. Katz, Frank Kauker, Thomas R. Knutson, Murari Lal, Christopher W. Landsea, René Laprise, L. Ruby Leung, Amanda H. Lynch, Wilhelm May, John L. McGregor, Norman L. Miller, James M. Murphy, Jaime Ribalaygua, Annette Rinke, Markku Rummukainen, Fredrick H. M. Semazzi, Kevin Walsh, P. Werner, Martin Widmann, Robert L. Wilby, Martin Wild, Y. Xue - Iowa State University 2001 被引用: 442

This chapter assesses regional climate information from Atmosphere-Ocean General Circulation Models (AOGCMs) and techniques used to enhance regional detail. These techniques have been substantially improved since the IPCC WGI Second Assessment Report (IPCC, 1996) (hereafter SAR) and have become more widely applied. They fall into three categories: high and variable resolution Atmosphere General Circulation Models (AGCMs); regional (or nested limited area) climate models (RCMs); and empirical/statistical and statistical/dynamical methods. The techniques exhibit different strengths and weaknesses and their use depends on the needs of specific applications.