A UNIFIED MODELING APPROACH TO CLIMATE SYSTEM PREDICTION

被引:133
作者
Hurrell, James [1 ]
Meehl, Gerald A.
Bader, David [2 ]
Delworth, Thomas L. [3 ]
Kirtman, Ben [4 ,5 ]
Wielicki, Bruce [6 ]
机构
[1] Natl Ctr Atmospher Res, Climate Anal Sect, Boulder, CO 80307 USA
[2] Lawrence Livermore Natl Lab, Livermore, CA USA
[3] NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA
[4] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA
[5] Ctr Ocean Land Atmosphere Studies, Calverton, MD USA
[6] NASA, Langley Res Ctr, Hampton, VA 23665 USA
关键词
VARIABILITY; ENSEMBLE; ENSO; PREDICTABILITY; SIMULATION; ATMOSPHERE; MECHANISM;
D O I
10.1175/2009BAMS2752.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Some of the challenges involved in developing a unified modeling framework that provides for the hierarchical treatment of forecast and climate phenomena are discussed. The latest weather forecasting is carried out using atmospheric general circulation models (AGCMs) that have been traditionally forced with sea surface temperature (SST) anomalies observed at initial stages, creating significant challenges. The radiative forcings and coupled interactions and feedbacks among the climate system components are critical for decadal-to-centennial predictions. These coupled model integrations are initialized from an arbitrary and relatively stable climate state obtained from a several-century control integration. These atmosphere-ocean general circulation models (AOGCMs) include components of the atmosphere, ocean, land surface, and sea ice.
引用
收藏
页码:1819 / 1832
页数:14
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