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Using Wavelet Analyses to Determine Drought Characteristics: A Cause Study of Western Jilin Province, China

並列摘要


Drought characteristics vary substantially among different climatic regions. Here in this study, wavelet analyses are used to characterize drought from monthly precipitation. The precipitation data are obtained from 6 fairly distributed stations across Western Jilin province (in China) for the period from 1957 to 2010. The calculated monthly Standardized Precipitation Index (SPI) is used as a drought index. Morlet wavelet analysis shows multiple time-scales and significant cycles of drought exist in the study area. The cross wavelet approach was applied to see if there was a connection between monthly SPI time series and large scale climate indices, such as NINO3. The result shows that drought occurrence in the region is mainly influenced by medium and long-time climatic factors. However, different factors have degrees of influence at different stations.

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