CAJ | 학술논문

利用云南122个测站1961-2008年秋季（9-11月）降水量和同期NOAA提供的月平均再分析资料，分析了秋季各月降水与水汽通量、水汽通量散度的分布，以及环流异常对降水的影响。结果表明：11月降水场与水汽通量场和水汽通量散度场耦合程度最高，10月次之，9月最小。在降水的空间分布型上，云南秋季降水与水汽通量输送、水汽通量散度的相关基本为一致的正相关；秋季降水量场与水汽通量场的时间变化趋势一致，水汽输送通量、水汽通量散度的变化直接影响降水的变化。云南秋季降水的多少主要是环流异常引起，当云南9月降水正异常时孟加拉湾季风偏强，副热带高压偏弱偏东，冷空气活跃，反之则出现负异常；当10月降水正异常时南支槽和西南季风活跃，影响云南的偏南暖湿气流强盛，反之则降水偏少；当11月南支槽和影响云南的冷空气活跃，云南降水偏多，反之则出现负异常。在水汽净收支方面，9月纬向的净收入最大，而10月纬向的净收入减弱，11月在西风带的控制之下，纬向净收支非常小。而经向上的水汽收支在9-11月有从支出到流入的转换。从云南正负异常年整层和低层水汽净收支看，除11月负异常年为水汽源外，其他都为水汽汇。用ERA-Interim再分析资料与20 CR再分析资料计算的水汽误差较小，并且正负异常年水汽净收支变化一致。
이용운남122개측참1961-2008년추계（9-11월）강수량화동기NOAA제공적월평균재분석자료，분석료추계각월강수여수기통량、수기통량산도적분포，이급배류이상대강수적영향。결과표명：11월강수장여수기통량장화수기통량산도장우합정도최고，10월차지，9월최소。재강수적공간분포형상，운남추계강수여수기통량수송、수기통량산도적상관기본위일치적정상관；추계강수량장여수기통량장적시간변화추세일치，수기수송통량、수기통량산도적변화직접영향강수적변화。운남추계강수적다소주요시배류이상인기，당운남9월강수정이상시맹가랍만계풍편강，부열대고압편약편동，랭공기활약，반지칙출현부이상；당10월강수정이상시남지조화서남계풍활약，영향운남적편남난습기류강성，반지칙강수편소；당11월남지조화영향운남적랭공기활약，운남강수편다，반지칙출현부이상。재수기정수지방면，9월위향적정수입최대，이10월위향적정수입감약，11월재서풍대적공제지하，위향정수지비상소。이경향상적수기수지재9-11월유종지출도류입적전환。종운남정부이상년정층화저층수기정수지간，제11월부이상년위수기원외，기타도위수기회。용ERA-Interim재분석자료여20 CR재분석자료계산적수기오차교소，병차정부이상년수기정수지변화일치。
Using the monthly autumn precipitation data of 122 observation stations over Yunnan Province from 1961 to 2008 and the NOAA monthly mean reanalysis data,distributions of monthly precipitation and water vapor fluxes and water vapor flux divergence in autumn,as well as the effect of atmospheric circula-tion anomaly on precipitation are analyzed.The results show that,there exists the best coupling relation-ship of rainfall and water vapor flux,water vapor flux divergence in November,while in October it is the second,and in September it is the worst.There is a positive correlation between autumn precipitation distribution,and water vapor flux and the divergence of water vapor flux in Yunnan.The autumn precipi-tation field is consistent with the time variation trend of water vapor flow field.The changes of water va-por flux and water vapor flux divergence directly affect the change of precipitation.The autumn precipita-tion amount is largely influenced by the atmospheric circulation anomaly.When September precipitation in Yunnan is abnormal,the monsoon in Bay of Bengal blows strongly,the subtropical high is by east and weak,and the cold air is active.Otherwise appears the negative anomaly.When rainfall in October is ab-normal,southern trough and southwest monsoon are active,strengthening Yunnan’s southerly warm and humid air flows,otherwise,precipitation is less.When in November the southern trough and the cold airs that influence Yunnan are active,more precipitation produces,otherwise,negative anomaly appears.Re-garding the vapor net budget,the zonal net income in September is the largest,while zonal net income in October weakens.In November,under the control of the westerlies,the net income becomes very small. However,meridional water vapor income during September to November transfers from expenditure to in-flows.Thinking from the whole-layer and low-level vapor net budget in positive and negative anomaly years in Yunnan,except for the November in negative anomaly years it is water vapor source,in all the other times it is moisture convergence.When calculating with ERA-Interim reanalysis data and 20CR rean-alysis data,the water vapor error is found small,and the vapor net budget variations in positive and nega-tive anomaly years are consistent.