How much do different land models matter for climate simulation? Part II: A decomposed view of the land-atmosphere coupling strength

Journal of Climate

Volumn 23, Issue 11, 2010, Pages 3135-3145

  Wei, Jiangfeng ^a   Dirmeyer, Paul A ^a   Guo, Zhichang ^a  

^a CENTER FOR OCEAN LAND ATMOSPHERE STUDIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC MODEL; CLIMATE SIMULATION; COUPLING STRENGTHS; EXTERNAL FORCING; GLOBAL PATTERNS; LAND MODEL; LOW FREQUENCY; LOW-FREQUENCY COMPONENTS; PRECIPITATION TIME SERIES; PRECIPITATION VARIABILITY; REGIONAL IMPACTS; SUBSURFACE SOIL; THREE MODELS;

COMPUTER SIMULATION; FREQUENCY BANDS; GEOLOGIC MODELS; MOISTURE DETERMINATION; PRECIPITATION (METEOROLOGY); SOIL MOISTURE; TIME SERIES;

CLIMATE MODELS;

ACCURACY ASSESSMENT; ATMOSPHERE-BIOSPHERE INTERACTION; CALIBRATION; CLIMATE MODELING; COMPUTER SIMULATION; COUPLING; ENERGY FLUX; EXPERIMENTAL STUDY; LAND SURFACE; MOISTURE FLUX; PRECIPITATION ASSESSMENT; PREDICTION; SOIL MOISTURE;

EID: 77954350627     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JCLI3178.1     Document Type: Article

References (38)

1. Adler, R. F., and Coauthors, 2003: The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-present). J. Hydrometeor., 4, 1147-1167.
2. Charney, J. G., and J. Shukla, 1981: Predictability of monsoons. Monsoon Dynamics, Sir J. Lighthill and R. P. Pearce, Eds., Cambridge University Press, 99-109.
3. Dirmeyer, P. A., 2006: The hydrologic feedback pathway for land- climate coupling. J. Hydrometeor., 7, 857-867.
4. Dirmeyer, P. A., M. J. Fennessy, and L. Marx, 2003: Low skill in dynamical prediction of boreal summer climate: Grounds for looking beyond sea surface temperature. J. Climate, 16, 995-1002.
5. Gebremichael,M., W. F. Krajewski,M. L.Morrissey,G. J.Huffman, and R. F. Adler, 2005: A detailed evaluation of GPCP 18 daily rainfall estimates over the Mississippi River basin. J. Appl. Meteor., 44, 665-681.
6. Graham,N.E., T. P. Barnett, R. Wilde,M. Ponater, and S. Schubert, 1994: On the roles of tropical and midlatitude SSTs in forcing interannual to interdecadal variability in the winter Northern Hemisphere circulation. J. Climate, 7, 1416-1441.
7. Guo, Z., and Coauthors, 2006: GLACE: The Global Land- Atmosphere Coupling Experiment. Part II: Analysis. J. Hydrometeor., 7, 611-625.
8. Huffman, G. J., and Coauthors, 1997: The Global Precipitation Climatology Project (GPCP) combined precipitation dataset. Bull. Amer. Meteor. Soc., 78, 5-20.
9. Huffman, G. J., R. F. Adler, M. Morrissey, D. T. Bolvin, S. Curtis, R. Joyce, B. McGavock, and J. Susskind, 2001: Global precipitation at one-degree daily resolution from multisatellite observations. J. Hydrometeor., 2, 36-50.
10. Huffman, G. J., and Coauthors, 2007: The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combinedsensor precipitation estimates at fine scales. J. Hydrometeor., 8, 38-55.
11. Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. Xie, 2004: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydrometeor., 5, 487-503.
12. Koster, R. D., M. J. Suarez, and M. Heiser, 2000: Variance and predictability of precipitation at seasonal-to-interannual time scales. J. Hydrometeor., 1, 26-46.
13. Koster, R. D.,and Coauthors, 2004: Regions of strong coupling between soil moisture and precipitation. Science, 305, 1138-1140.
14. Koster, R. D., and Coauthors, 2006: GLACE: The Global Land-Atmosphere Coupling Experiment. Part I: Overview. J. Hydrometeor., 7, 590-610.
15. Lawrence, D. M., and J. M. Slingo, 2005: Weak land-atmosphere coupling strength in HadAM3: The role of soil moisture variability. J. Hydrometeor., 6, 670-680.
16. McPhee, J., and S. A. Margulis, 2005: Validation and error characterization of the GPCP-1DD precipitation product over the contiguous United States. J. Hydrometeor., 6, 441-459.
17. Pegion, K., and B. P. Kirtman, 2008a: The impact of air-sea interactions on the predictability of the tropical intraseasonal oscillation. J. Climate, 21, 5870-5886.
18. Pegion, K., and B. P. Kirtman, 2008b: The impact of air-sea interactions on the simulation of tropical intraseasonal variability. J. Climate, 21, 6616-6635.
19. Quan, X. W., P. J. Webster, A. M. Moore, and H. R. Chang, 2004: Seasonality in SST-forced atmospheric short-term climate predictability. J. Climate, 17, 3090-3108.
20. Ruane, A. C., and J. O. Roads, 2007: 6-hour to 1-year variance of five global precipitation sets. Earth Interactions, 11. [Available online at http://EarthInteractions.org.]
21. Ruane, A. C., and J. O. Roads, 2008: Diurnal to annual precipitation sensitivity to convective and land surface schemes. Earth Interactions, 12. [Available online at http://EarthInteractions.org.]
22. Ruiz-Barradas, A., and S. Nigam, 2005: Warm season rainfall variability over the U.S. Great Plains in observations, NCEP and ERA-40 reanalyses, and NCAR and NASA atmospheric model simulations. J. Climate, 18, 1808-1830.
23. Ruiz-Barradas, A., and S. Nigam, 2006: Great Plains hydroclimate variability: The view from North American Regional Reanalysis. J. Climate, 19, 3004-3010.
24. Shukla, J., 1993: Predictability of short-term climate variations. Prediction of Interannual Climate Variations, J. Shukla, Ed., NATO ASI Series I: Global Environmental Change, Vol. 6, Springer-Verlag, 217-232.
25. Shukla, J.,1998: Predictability in the midst of chaos:Ascientific basis for climate forecasting. Science, 282, 728-731.
26. Shukla, J., and Coauthors, 2000: Dynamical seasonal prediction. Bull. Amer. Meteor. Soc., 81, 2593-2606.
27. Skomorowski, P., F. Rubel, and B. Rudolf, 2001: Verification of GPCP-1DD global satellite precipitation products usingMAP surface observations. Phys. Chem. Earth, 26, 403-409.
28. Su, F., Y. Hong, and D. P. Lettenmaier, 2008: Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) and its utility in hydrologic prediction in the La Plata basin. J. Hydrometeor., 9, 622-640.
29. Sun, Y., S. Solomon, A. Dai, and R. W. Portmann, 2006: How often does it rain? J. Climate, 19, 916-934.
30. Trenberth, K. E., A. Dai, R. M. Rasmussen, and D. B. Parsons, 2003: The changing character of precipitation. Bull. Amer. Meteor. Soc., 84, 1205-1217.
31. Wang, G., Y. Kim, and D. Wang, 2007: Quantifying the strength of soil moisture-precipitation coupling and its sensitivity to changes in surface water budget. J. Hydrometeor., 8, 551-570.
32. Wei, J., R. E. Dickinson, and N. Zeng, 2006: Climate variability in a simple model of warm climate land-atmosphere interaction. J. Geophys. Res., 111, G03009, doi:10.1029/2005JG000096.
33. Wei, J., R. E. Dickinson, and H. Chen, 2008:Anegative soilmoisture precipitation relationship and its causes. J. Hydrometeor., 9, 1364-1376.
34. Wei, J., P. A. Dirmeyer, Z. Guo, L. Zhang, and V. Misra, 2010: How much do different land models matter for climate simulation? Part I: Climatology and variability. J. Climate, 23, 3120-3134.
35. Wilcox, E. M., and L. J. Donner, 2007: The frequency of extreme rain events in satellite rain-rate estimates and an atmospheric general circulation model. J. Climate, 20, 53-69.
36. Yamada, T. J., R. D. Koster, S. Kanae, and T. Oki, 2007: Estimation of predictability with a newly derived index to quantify similarity among ensemble members. Mon. Wea. Rev., 135, 2674-2687.
37. Zeweldi, D. A., and M. Gebremichael, 2009: Evaluation of CMORPH precipitation products at fine space-time scales. J. Hydrometeor., 10, 300-307.
38. Zhang, J.,W.-C.Wang, and J.Wei, 2008: Assessing land-atmosphere coupling using soil moisture from the Global Land Data Assimilation System and observational precipitation. J. Geophys. Res., 113, D17119, doi:10.1029/2008JD009807.