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Dynamic-Analogue Correction of the Decadal Change of east asian summer precipitation in the Late 1990s

Journal of Meteorological Research 2016年第3期30卷 341-355页

作者：龚志强李尚峰胡泊沈柏竹封国林 Laboratory for Climate Studies and Climate Prediction National Climate CenterChina Meteorological Administration Laboratory of Research for Middle-High Latitude Circulation and east asian Monsoon Jilin Meteorological Science Institute Department of Physics Yangzhou University

This paper systematically evaluates the deviations that appear in the hindcasts of the east asian summer precipitation（EASP） decadal change in the late 1990 s in two global coupled models（BCC-CGCM and BCC-CSM）.The possible causes for the deviations between the model hindcasts and observations are *** results show that the hindcasts of EASP by BCC-CGCM and BCC-CSM deviate from observations,with the anomaly correlation coefficient（ACC） being-0.01 and-0.09 for the two models,*** SST anomalies in North and West Pacific and the SST index values predicted by the two models also deviate from the observations,indicating that inconsistent SST fields may be the key factor leading to the deviation in the prediction of the EASP decadal ***,a dynamic-analogue scheme is proposed to correct the precipitation hindcasts by using SSTs,where SST and EASP are highly correlated,to select historical analogue *** validations show that the average ACC of the temporal-latitude distribution of the EASP between the corrected hindcasts and observations is 0.18 for BCC-CGCM and0.02 for BCC-CSM;both are much higher than the uncorrected *** the dynamic-analogue correction scheme in both models successfully improves prediction of the EASP decadal change in the late1990 s.

关键词： dynamic-analogue correction scheme east asian summer precipitation ocean-atmospherecoupled model decadal change

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The Relationship between Melt Season Sea Ice over the Bering Sea and summer precipitation over Mid-Latitude east Asia

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Advances in Atmospheric Sciences 2021年第6期38卷 918-930页

作者： Yurun TIAN Yongqi GAO Dong GUO Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China Nansen Environmental and Remote Sensing Centre/Bjerknes Centre for Climate Research Bergen N-5006Norway Climate Change Research Centre Chinese Academy of SciencesBeijing100029China

Independent datasets consistently indicate a significant correlation between the sea ice variability in the Bering Sea during melt season and the summer rainfall variability in the Lake Baikal area and Northeastern *** this study,four sea ice datasets(HadISST1,HadISST2.2,ERA-Interim and NOAA/NSIDC)and two global precipitation datasets(CRU V4.01 and GPCP V2.3)are used to investigate co-variations between melt season(March−April−May−June,MAMJ)Bering Sea ice cover(BSIC)and summer(June−July−August,JJA)east asian *** datasets demonstrate a significant correlation between the MAMJ BSIC and the JJA rainfall in Lake Baikal−Northeastern China(Baikal−NEC).Based on the reanalysis datasets and the numerical sensitivity experiments performed in this study using Community Atmospheric Model version 5(CAM5),a mechanism to understand how the MAMJ BSIC influences the JJA Baikal−NEC rainfall is *** MAMJ BSIC triggers a wave train and causes a positive sea level pressure(SLP)anomaly over the North Atlantic during *** high SLP anomaly,associated with an anti-cyclonic wind stress circulation anomaly,favors the appearance of sea surface temperature(SST)anomalies in a zonal dipole-pattern in the North Atlantic during *** dipole SST anomaly drives a zonally orientated wave train,which causes a high anomaly geopotential height at 500 hPa over the Sea of *** a result,the mean east asian trough moves westward and a low geopotential height anomaly occurs over Baikal−*** prevailing regional low pressure anomaly together with enhanced moisture transport from the western North Pacific and convergence over Baikal−NEC,positively influences the increased rainfall in summer.

关键词： Bering Sea ice North Atlantic SST east asian summer precipitation wave train

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Impacts of Spectral Nudging on the Sensitivity of a Regional Climate Model to Convective Parameterizations in east Asia

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Acta meteorologica Sinica 2011年第1期25卷 63-77页

作者：宋寔汤剑平陈星 School of Atmospheric Sciences Nanjing University

The sensitivity of a regional climate model （RCM） to cumulus parameterization （CUPA） schemes in modeling summer precipitation over east Asia has been investigated by using the fifth-generation Pennsylvania State University-National Center for Atmospheric Research Mesoscale Model （PSU-NCAR MM5）. The feasibility of physical ensemble and the effect of interior （spectral） nudging are also assessed. The RCM simulations are evaluated against the NCEP/NCAR reanalysis data and NCEP/CPC precipitation data for three summers （JJA） in 1991, 1998, and 2003. The results show that the RCM is highly sensitive to CUPA schemes. Different CUPA schemes cause distinctive characteristics in the modeling of JJA precipitation and the intraseasonal （daily） variability of regional precipitation. The sensitivity of the RCM simulations to the CUPA schemes is reduced by adopting the spectral nudging technique, which enables the RCM to reproduce more realistic large-scale circulations at the upper levels of the atmosphere as well as near the surface, and better precipitation simulation in the selected experiments. The ensemble simulations using different CUPA schemes show higher skills than individual members for both control runs and spectral nudging runs. The physical ensemble adopting the spectral nudging technique shows the highest downscaling skill in capturing the general circulation patterns for all experiments and improved temporal distributions of precipitation in some regions.

关键词： regional climate model (RCM) cumulus parameterizations spectral nudging ensemble east asian summer precipitation

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