Unraveling the Characteristics of the Inter-Station Daily Rainfall Field in the Plain Regions of Eastern China Under Monsoon Climate
2025
Zhongyue Yan | Changyan Li | Yangcheng Hu
This study examined the characteristics of rainfall fields in a monsoon climate using seven years of daily rainfall data from 95 stations in eastern China. The stations were located in a region with a flat, low-lying topography, covering approximately 250 km by 150 km. The spatial and temporal properties of the rainfall fields were analyzed from three perspectives: time scales, spatial distance, and direction. Multiple linear regression was applied to explore linear relationships and predict rainfall amounts at selected sites, considering four time scales: 1 day, 3 days, 7 days, and 15 days. The analysis assumed isotropy when examining the distance&ndash:decay in the correlation field. The results showed that the distance&ndash:decay of the correlation coefficient followed an exponential pattern, with decay rates decreasing as time scales increased. Spatially, north&ndash:south variations were more pronounced than east&ndash:west variations, and the correlation extended further in latitude than in longitude, highlighting spatial heterogeneity. The correlation coefficient in the wet season was smaller than for the entire year due to dry days and rainfall variability. Additionally, a multi-site linear model was used to interpolate missing rainfall data. The analysis revealed that the goodness of fit improved over longer time scales. Nevertheless, it was also observed that the error ratio simultaneously increased. This implies that when applying distance-weighted interpolation methods, one must exercise due caution.
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