US contributions to the CEOP

被引:11
作者
Lawford, Richard
Bosilovich, Mike
Eden, Susanna
Benedict, Sam
Brown, Constance
Gruber, Arnold
Houser, Paul
Hsu, Kuolin
Huang, Jin
Lau, William
Meyers, Tilden
Mitchell, Kenneth
Peters-Lidard, Christa
Roads, John
Rodell, Matt
Sorooshian, Soroosh
Tarpley, Dan
Williams, Steve
机构
[1] Int GEWEX Project Off, Silver Spring, MD USA
[2] NASA, Greenbelt, MD USA
[3] Univ Arizona, Tucson, AZ USA
[4] CEOP Int Project Off, San Diego, CA USA
[5] Indiana Univ, Bloomington, IN USA
[6] Univ Maryland, College Pk, MD 20742 USA
[7] George Mason Univ, Fairfax, VA 22030 USA
[8] NOAA, Silver Spring, MD USA
[9] NOAA, Oak Ridge, TN USA
[10] NOAA, Camp Springs, MD USA
[11] Scripps Inst Oceanog, La Jolla, CA USA
[12] NCAR, Boulder, CO USA
关键词
D O I
10.1175/BAMS-87-7-927
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
THE CEOP The Coordinated Enhanced Observing Period (CEOP) is an international project that was first proposed by the Global Energy and Water Cycle Experiment (GEWEX) in 1997 and was formally launched in 2001. Since that time it has been adopted by the World Climate Research Programme (WCRP), which views it as an essential part of its strategy for developing global datasets to evaluate global climate models, and by the Integrated Global Observing Strategy Partnership (IGOS-P), which views it as the first element of its global water cycle theme. The United States has been an active partner in all phases of CEOP. In particular, the United States has taken the lead in contributing data from a number of reference sites, providing data processing, and archiving capabilities and related research activities through the GEWEX Americas Prediction Project (GAPP). Other U.S. programs and agencies are providing components including model and data assimilation output, satellite data, and other services. The U.S. science community has also been using the CEOP database in model evaluation and phenomenological studies. This article summarizes the U.S. contributions during the first phase of CEOP and outlines opportunities for readers to become involved in the data analysis phase of the project.
引用
收藏
页码:927 / 939
页数:13
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