Detecting the relationship between summer rainfall anomalies in eastern china and the SSTA in the global domain with a new significance test method |
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| Authors: | Chuhan Lu Zhaoyong Guan Panxing Wang Mingkeng Duan |
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| Institution: | Department of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China |
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| Abstract: | It is suggested that the multiple samples in a correlation map or a set of correlation maps should be examined with sig-nificance tests as per the Bernoulli probability, model. Therefore, both the contemporaneous and lag correlations of summertime pre-cipitation R in any one of the three regions of Northern China (NC), the Changjiang-Huaihe River Valley (CHRV), and Southern China (SC) with the SSTA in the global domain have been tested in the present article, using our significance test method and the method proposed by Livezey and Chen (1983) respectively. Our results demonstrate that the contemporaneous correlations of sum-mer R in CHRV with the SSTA are larger than those in NC. Significant correlations of SSTA with CHRV R are found to be in some warm SST regions in the tropics, whereas those of SSTA with NC R, which are opposite in sign as compared to the SSTA-CHRV R correlations, are found to be in some regions where the mean SSTs are low. In comparison with the patterns of the contemporaneous correlations, the 1 to 12 month lag correlations between NC R and SSTA, and those between CHRV summer R and SSTA show simi-lar patterns, including the magnitudes and signs, and the spatial distributions of the coefficients. However, the summer rainfall in SC is not well correlated with the SSTA, no matter how long the lag interval is. The results derived from the observations have set up a relationship frame connecting the precipitation anomalies in NC, CHRV, and SC with the SSTA in the global domain, which is criti-cally useful for our understanding and predicting the climate variabilities in different parts of China Both NC and CHRV summer R are connected with El Nino events, showing a'--'pattern in an El Nino year and a'+ +'pattern in the subsequent year. |
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| Keywords: | summer precipitation eastern China global sea surface temperature contemporaneous correlation time lag correla-tion significance test for multiple correlation maps |
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