Effect of Station Density Changes on Variability Monitoring of Extreme Precipitation Events in Mainland China
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Abstract:
Based on the daily precipitation data from 196 to 2011 in China, a comparative analysis is made of the changes of the numbers of moderate rain days and heavy rain days, strong precipitation, and extreme precipitation under different station networks to assess the representativeness of different station networks for extreme precipitation events. The results show that the monitoring precision in time and spatial distribution of the station networks for extreme precipitation events changes are in the following order: the basic & reference station network, basic networks, reference station network, and GCOS station network. The influences of spatial distributions of the GCOS station network and the reference station network on the precipitation index differ from the standard station network greatly. The space distributions of various indexes under the basic & reference and basic station networks are the closest to that of the standard station network, but the monitoring precisions in the northern Southwest China, the eastern and central Northeast China, and some areas of the northern Yangtze River are still unsatisfactory.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.