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Response of global subtropical highs to the equatorial eastern Pacific SST anomaly
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作者 Gong Daoyi and Wang Shaowu 1. Department of Geophysics, Peking University, Beijing 100871, China (Received August 31, 1997 accepted March 30, 1998) 《Acta Oceanologica Sinica》 SCIE CAS CSCD 1999年第2期203-214,共12页
Based on the reanalysis data of global 500hPa geopotential height (NCEP NCAR CDAS-1) and tropical Pacific SSTs, the characteristics of global subtropical highs and their response to tropical eastern Pacific SST are i... Based on the reanalysis data of global 500hPa geopotential height (NCEP NCAR CDAS-1) and tropical Pacific SSTs, the characteristics of global subtropical highs and their response to tropical eastern Pacific SST are investigated. Results show that global subtropical highs respond to SST consistently. Subtropical high intensity correlates to the 3 months leading SST maximally. The relationship between SST and 500hPa height stands out in low latitudes. The time for 500hPa height reaching maximuxn correlation to SST is 2 months later in latitude of 10 degree and 9 months in latitude of 30 degree than equatorial zone. And the response of atmospheric circulation over extratropic performs as wave train, and the response is more significant in the condition of warmer SST. Persistence of SSTs and subtropical highs changes obviously from season to season. Minimum persistence of subtropical highs in September and October may relate to the low persistence of SSTs in August and September. 展开更多
关键词 Global subtropical highs equatorial eastern pacific sst
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NEURAL NETWORK BP MODEL APPROXIMATION AND PREDICTION OF COMPLICATED WEATHER SYSTEMS 被引量:5
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作者 张韧 余志豪 蒋全荣 《Acta meteorologica Sinica》 SCIE 2001年第1期105-115,共11页
An artificial neural network BP model and its revised algorithm are used to approximate quite successfully a Lorenz chaotic dynamic system and the mapping relation is established between the indices of Southern Oscill... An artificial neural network BP model and its revised algorithm are used to approximate quite successfully a Lorenz chaotic dynamic system and the mapping relation is established between the indices of Southern Oscillation and equatorial zonal wind and lagged equatorial eastern Pacific sea surface temperature(SST) in the context of NCEP/NCAR data,and thereby a model is prepared. The constructed net model shows fairly high fit precision and feasible prediction accuracy,thus making itself of some usefulness to the prognosis of intricate weather systems. 展开更多
关键词 neural network BP model Lorenz system equatorial eastern pacific sst
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