GLACE: The Global Land–Atmosphere Coupling Experiment. Part I: Overview

Author:

Koster Randal D.1,Sud Y. C.1,Guo Zhichang2,Dirmeyer Paul A.2,Bonan Gordon3,Oleson Keith W.3,Chan Edmond4,Verseghy Diana4,Cox Peter5,Davies Harvey6,Kowalczyk Eva6,Gordon C. T.7,Kanae Shinjiro8,Lawrence David9,Liu Ping10,Mocko David10,Lu Cheng-Hsuan11,Mitchell Ken11,Malyshev Sergey12,McAvaney Bryant13,Oki Taikan14,Yamada Tomohito14,Pitman Andrew15,Taylor Christopher M.16,Vasic Ratko17,Xue Yongkang17

Affiliation:

1. NASA Goddard Space Flight Center, Greenbelt, Maryland

2. Center for Ocean–Land–Atmosphere Studies, Calverton, Maryland

3. National Center for Atmospheric Research, Boulder, Colorado

4. Meteorological Service of Canada, Toronto, Ontario, Canada

5. Centre for Ecology and Hydrology, Dorset, Dorset, United Kingdom

6. CSIRO Atmospheric Research, Aspendale, Victoria, Australia

7. Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

8. Research Institute for Humanity and Nature, Kyoto, Japan

9. University of Reading, Reading, Berkshire, United Kingdom

10. Science Applications International Corporation, Beltsville, Maryland

11. National Centers for Environmental Prediction, Camp Springs, Maryland

12. Princeton University, Princeton, New Jersey

13. Bureau of Meteorology Research Centre, Melbourne, Victoria, Australia

14. University of Tokyo, Tokyo, Japan

15. Macquarie University, North Ryde, New South Wales, Australia

16. Centre for Ecology and Hydrology, Wallingford, Oxfordshire, United Kingdom

17. University of California, Los Angeles, Los Angeles, California

Abstract

Abstract The Global Land–Atmosphere Coupling Experiment (GLACE) is a model intercomparison study focusing on a typically neglected yet critical element of numerical weather and climate modeling: land–atmosphere coupling strength, or the degree to which anomalies in land surface state (e.g., soil moisture) can affect rainfall generation and other atmospheric processes. The 12 AGCM groups participating in GLACE performed a series of simple numerical experiments that allow the objective quantification of this element for boreal summer. The derived coupling strengths vary widely. Some similarity, however, is found in the spatial patterns generated by the models, with enough similarity to pinpoint multimodel “hot spots” of land–atmosphere coupling. For boreal summer, such hot spots for precipitation and temperature are found over large regions of Africa, central North America, and India; a hot spot for temperature is also found over eastern China. The design of the GLACE simulations are described in full detail so that any interested modeling group can repeat them easily and thereby place their model’s coupling strength within the broad range of those documented here.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference57 articles.

1. Bacmeister, J., P. J.Pegion, S. D.Schubert, and M. J.Suarez, 2000: Atlas of seasonal means simulated by the NSIPP 1 atmospheric GCM. NASA Tech. Memo. 2000-104606, Vol. 17, 194 pp.

2. Greenhouse gas-induced climate change simulated with the CCC second-generation general circulation model.;Boer;J. Climate,1992

3. The land surface climatology of the Community Land Model coupled to the NCAR Community Climate Model.;Bonan;J. Climate,2002

4. Estimation of continental precipitation recycling.;Brubaker;J. Climate,1993

5. Comparative study of effects of albedo change on drought in semi-arid regions.;Charney;J. Atmos. Sci.,1977

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