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Persistent Features of Drought Strength in North China and Its Prediction
作者姓名:WEI Fengying  HAN Xue
作者单位:Chinese Academy of Meteorological Sciences,Chinese Academy of Meteorological Sciences Beijing 100081,Beijing 100081
基金项目:This work is jointly supported by the President Foundation of Chinese Academy of Meteorological Sciences and the NationalNatural Science Foundation of China under Grant No. 40275020.
摘    要:1. Introduction Drought disasters occur frequently in North China, with droughty extension being the widest, droughty intensity the most serious and lasting time the longest. In particular, the serious drought has threatened agriculture extremely in recent years, as such has influenced economy, ecosystem, and even daily life of people. The drought in North China is not only the vital research subject for meteorologists, but also one of the issues concerned for government. Therefore, finding …

收稿时间:7/8/2004 12:00:00 AM
修稿时间:2004/11/10 0:00:00

Persistent Features of Drought Strength in North China and Its Prediction
WEI Fengying,HAN Xue.Persistent Features of Drought Strength in North China and Its Prediction[J].Acta Meteorologica Sinica,2005,19(3):381-388.
Authors:WEI Fengying HAN Xue
Institution:Chinese Academy of Meteorological Sciences, Beijing 100081 Chinese Academy of Meteorological Sciences, Beijing 100081
Abstract:Based on the analysis of persistent features of drought strength in North China, a new technique to predict the drought strength with an integration of both the droughty trend and the dynamic strong signal is proposed. Considering the prominent interdecadal and interannual variations of drought strength, which can be separated by means of a nonlinear dynamic reconstruction, the two models with different time scale to predict droughty trend are established respectively and integrated at last. In the course of model building, a concept of dynamic strong signal is introduced, and the strong signal of observable difference between previous fields of atmosphere and ocean and multi-year average values is introduced into the prediction model. It is indicated that the abnormal variations of atmosphere and ocean in the near future may influence the drought. The extraseasonal hindcasts from 1996 to 2002 show that the prediction model represents the droughty trend preferably and exhibits higher prediction skill.
Keywords:drought  interannual variation  interdecadal variation  lasting time  dynamic strong signal
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