Do Global Models Properly Represent the Feedback between Land and Atmosphere

作者: Paul A. Dirmeyer , Randal D. Koster , Zhichang Guo

DOI: 10.1175/JHM532.1

关键词: Water cyclePredictabilityPrecipitationRange (statistics)Weather and climateEnvironmental scienceAtmospheric sciencesClimatologyGlobal Energy and Water Cycle ExperimentCoupling (computer programming)Atmosphere

摘要: Abstract The Global Energy and Water Cycle Experiment/Climate Variability Predictability (GEWEX/CLIVAR) Land–Atmosphere Coupling Experiment (GLACE) has provided an estimate of the global distribution land–atmosphere coupling strength during boreal summer based on results from a dozen weather climate models. However, there is great deal variation among models, attributable to range sensitivities in simulation both terrestrial atmospheric branches hydrologic cycle. It remains open question whether any or multimodel estimate, reflects actual pattern earth’s authors attempt diagnose this by examining local covariability key land surface variables models those few locations where comparable, relatively complete, long-term measurements exist. Most do not encompass well observed relationships between a...

参考文章(28)
Alan K. Betts, John H. Ball, Anton C. M. Beljaars, Martin J. Miller, Pedro A. Viterbo, The land surface‐atmosphere interaction: A review based on observational and global modeling perspectives Journal of Geophysical Research. ,vol. 101, pp. 7209- 7225 ,(1996) , 10.1029/95JD02135
Randal D. Koster, Max J. Suarez, Impact of Land Surface Initialization on Seasonal Precipitation and Temperature Prediction Journal of Hydrometeorology. ,vol. 4, pp. 408- 423 ,(2003) , 10.1175/1525-7541(2003)4<408:IOLSIO>2.0.CO;2
Bryant McAvaney, Gordon Bonan, Y. C. Sud, Sergey Malyshev, Diana Verseghy, David Mocko, Taikan Oki, Keith W. Oleson, Peter M. Cox, Yongkang Xue, Tomohito Yamada, David Lawrence, Christopher M. Taylor, Randal D. Koster, Zhichang Guo, Ken Mitchell, Cheng-Hsuan Lu, Eva Kowalczyk, Andrew Pitman, Paul A. Dirmeyer, Ratko Vasic, Shinjiro Kanae, Ping Liu, C. T. Gordon, J. L. McGregor, Edmond Chan, Glace: The Global Land-Atmosphere Coupling Experiment Part 2: Analysis ,(2013)
George J. Huffman, Robert F. Adler, Philip Arkin, Alfred Chang, Ralph Ferraro, Arnold Gruber, John Janowiak, Alan McNab, Bruno Rudolf, Udo Schneider, The Global Precipitation Climatology Project (GPCP) combined precipitation dataset Bulletin of the American Meteorological Society. ,vol. 78, pp. 5- 20 ,(1997) , 10.1175/1520-0477(1997)078<0005:TGPCPG>2.0.CO;2
M. J. Fennessy, Y. Xue, IMPACT OF USGS VEGETATION MAP ON GCM SIMULATIONS OVER THE UNITED STATES Ecological Applications. ,vol. 7, pp. 22- 33 ,(1997) , 10.1890/1051-0761(1997)007[0022:IOUVMO]2.0.CO;2
Guido D Salvucci, Jennifer A Saleem, Robert Kaufmann, Investigating soil moisture feedbacks on precipitation with tests of Granger causality Advances in Water Resources. ,vol. 25, pp. 1305- 1312 ,(2002) , 10.1016/S0309-1708(02)00057-X
Yuqiong Liu, Hoshin V Gupta, Soroosh Sorooshian, Luis A Bastidas, William J Shuttleworth, None, Constraining Land Surface and Atmospheric Parameters of a Locally Coupled Model Using Observational Data Journal of Hydrometeorology. ,vol. 6, pp. 156- 172 ,(2005) , 10.1175/JHM407.1
Randal D. Koster, Y. C. Sud, Zhichang Guo, Paul A. Dirmeyer, Gordon Bonan, Keith W. Oleson, Edmond Chan, Diana Verseghy, Peter Cox, Harvey Davies, Eva Kowalczyk, C. T. Gordon, Shinjiro Kanae, David Lawrence, Ping Liu, David Mocko, Cheng-Hsuan Lu, Ken Mitchell, Sergey Malyshev, Bryant McAvaney, Taikan Oki, Tomohito Yamada, Andrew Pitman, Christopher M. Taylor, Ratko Vasic, Yongkang Xue, GLACE: The Global Land-Atmosphere Coupling Experiment. Part I: Overview Journal of Hydrometeorology. ,vol. 7, pp. 590- 610 ,(2006) , 10.1175/JHM510.1
Alan K. Betts, Understanding Hydrometeorology Using Global Models Bulletin of the American Meteorological Society. ,vol. 85, pp. 1673- 1688 ,(2004) , 10.1175/BAMS-85-11-1673
Thomas P. Ackerman, Gerald M. Stokes, The Atmospheric Radiation Measurement Program Physics Today. ,vol. 56, pp. 38- 44 ,(2003) , 10.1063/1.1554135