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关于东亚夏季风指数的比较 被引量:32
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作者 高辉 张芳华 《热带气象学报》 CSCD 北大核心 2003年第1期79-86,共8页
Four typical East Asia Summer Monsoon Indexes (EASMI) are enumerated and comparted here.Results show that they are good at reflecting the abnormality of rainfall and temperature of China as lower level wind fields of ... Four typical East Asia Summer Monsoon Indexes (EASMI) are enumerated and comparted here.Results show that they are good at reflecting the abnormality of rainfall and temperature of China as lower level wind fields of East Asia in summer,and the SCHI is the best comparatively.Further discussion indicates that high temperature will be seen almost all over China and there will be flood in north/south China in summer,but drought in Changjiang-Huaihe Valley in case that summer monsoon is strong,and vice verse. 展开更多
关键词 东亚大陆地区 夏季风强度指数 气温 降水 中国
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Predicting June Mean Rainfall in the Middle/Lower Yangtze River Basin 被引量:9
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作者 Gill M.MARTIN Nick J.DUNSTONE +1 位作者 Adam A.SCAIFE Philip E.BETT 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2020年第1期29-41,共13页
We demonstrate that there is significant skill in the GloSea5 operational seasonal forecasting system for predicting June mean rainfall in the middle/lower Yangtze River basin up to four months in advance.Much of the ... We demonstrate that there is significant skill in the GloSea5 operational seasonal forecasting system for predicting June mean rainfall in the middle/lower Yangtze River basin up to four months in advance.Much of the rainfall in this region during June is contributed by the mei-yu rain band.We find that similar skill exists for predicting the East Asian summer monsoon index(EASMI)on monthly time scales,and that the latter could be used as a proxy to predict the regional rainfall.However,there appears to be little to be gained from using the predicted EASMI as a proxy for regional rainfall on monthly time scales compared with predicting the rainfall directly.Although interannual variability of the June mean rainfall is affected by synoptic and intraseasonal variations,which may be inherently unpredictable on the seasonal forecasting time scale,the major influence of equatorial Pacific sea surface temperatures from the preceding winter on the June mean rainfall is captured by the model through their influence on the western North Pacific subtropical high.The ability to predict the June mean rainfall in the middle and lower Yangtze River basin at a lead time of up to 4 months suggests the potential for providing early information to contingency planners on the availability of water during the summer season. 展开更多
关键词 forecast skill easmi monthly mean rainfall East Asian summer monsoon Yangtze River basin
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