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Proceedings Paper

Sensitivity of CWRF simulations of the China 1998 summer flood to cumulus parameterizations
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Paper Abstract

Better understanding the dynamics of the East Asian monsoon system is essential to address its climate variability and predictability. Regional climate models are useful tools for this endeavor, but require a rigorous evaluation to first establish a suite of physical parameterizations that best simulate observations. To this end, the present study focuses on the CWRF (Climate extension of WRF) simulation of the 1998 summer flood over east China and its sensitivity to cumulus parameterizations on CWRF performance. The CWRF using the Kain-Fritsch and Grell-Devenyi cumulus schemes both capture the observed major characteristics of geographic distributions and daily variations of precipitation, indicating a high credibility in downscaling the monsoon. Important regional differences, however, are simulated by the two schemes. The Kain-Fritsch scheme produces the better precipitation patterns with smaller root-mean-square errors and higher temporal correlation coefficients, while overestimating the magnitude and coverage. In contrast, the Grell-Devenyi ensemble scheme, using equal weights on all closure members, overall underestimates rainfall amount, suggesting for future improvement with varying weights depending on climate regimes.

Paper Details

Date Published: 27 September 2006
PDF: 7 pages
Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 62981I (27 September 2006); doi: 10.1117/12.676216
Show Author Affiliations
Shuyan Liu, Beijing Normal Univ. (China)
Nanjing Univ. of Science and Technology (China)
China Meteorological Administration (China)
Wei Gao, Nanjing Univ. of Science and Technology (China)
Colorado State Univ. (United States)
Xin-Zhong Liang, Univ. of Illinois at Urbana-Champaign (United States)
Hua Zhang, China Meteorological Administration (China)
James Slusser, Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 6298:
Remote Sensing and Modeling of Ecosystems for Sustainability III
Wei Gao; Susan L. Ustin, Editor(s)

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