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Abstract
pheric general circulation model of the Institute of Atmospheric Physics, Chinese Academy of Sciences, to
perform a 20-yr (1982-2001) hindcast experiment on extraseaonal short-term prediction of China summer
climate. The nested prediction system is referred to as RegCM3_IAP9L-AGCM in this paper. The results
show that hindcasted climate fields such as 500-hPa geopotential height, 200- and 850-hPa zonal winds from
RegCM3_IAP9L-AGCM have positive anomaly correlation coe±cients (ACCs) with the observations, and
are better than those from the stand-alone IAP9L-AGCM. Except for the 850-hPa wind field, the positive
ACCs of the other two fields with observations both pass the 90% confidence level and display a zonal
distribution. The results indicate that the positive correlation of summer precipitation anomaly percentage
between the nested prediction system and observations covers most parts of China except for downstream
of the Yangtze River and north of Northeast and Northwest China. The nested prediction system and the
IAP9L-AGCM exhibit di?erent hindcast skills over di?erent regions of China, and the former demonstrates
a higher skill over South China than the latter in predicting the summer precipitation.
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Citation
JU Lixia, LANG Xianmei. 2011: Hindcast Experiment of Extraseasonal Short-Term Summer Climate Prediction over China with RegCM3_IAP9L-AGCM. Journal of Meteorological Research, 25(3): 376-385. DOI: 10.1007/s13351-011-0312-4
JU Lixia, LANG Xianmei. 2011: Hindcast Experiment of Extraseasonal Short-Term Summer Climate Prediction over China with RegCM3_IAP9L-AGCM. Journal of Meteorological Research, 25(3): 376-385. DOI: 10.1007/s13351-011-0312-4
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JU Lixia, LANG Xianmei. 2011: Hindcast Experiment of Extraseasonal Short-Term Summer Climate Prediction over China with RegCM3_IAP9L-AGCM. Journal of Meteorological Research, 25(3): 376-385. DOI: 10.1007/s13351-011-0312-4
JU Lixia, LANG Xianmei. 2011: Hindcast Experiment of Extraseasonal Short-Term Summer Climate Prediction over China with RegCM3_IAP9L-AGCM. Journal of Meteorological Research, 25(3): 376-385. DOI: 10.1007/s13351-011-0312-4
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