Exploring spatiotemporal variations and driving factors of extreme precipitation in Guangdong-Hong Kong-Macao Greater Bay Area
Based on the China Regional Ground Surface Meteorological Element Driving Dataset from 1979 to 2018 and multiple atmospheric circulation mode indices,the spatiotemporal distribution characteristics of extreme precipitation in the Guangdong-Hong Kong-Macao Greater Bay Area and their relationships with atmospheric circulation modes were explored using improved Mann Kendall trend test method,Pearson correlation analysis,wavelet analysis and other methods.The results show that extreme precipitation in the Greater Bay Area shows an overall increasing trend,with the most significant increasing trend spatially distributed in the central and northern regions,and extreme precipitation is concentrated in June mostly.The atmospheric circulation mode which is most strongly correlated with extreme precipitation in the Greater Bay Area is EAM(East Asian Monsoon),followed by PDO(Pacific Decadal Oscillation)and ENSO(El Nino-Southern Oscillation).The EAM has a stable 8～16 month cyclic impact on different extreme precipitation indices in this region,while ENSO and the PDO show more complex correlations,with some coupling effects existing between them and the EAM.
extreme precipitationatmospheric circulation modewavelet analysisGuangdong-Hong Kong-Macao Greater Bay Area
万方数据
维普
