Research on Applicability of GPM Retrieved Precipitation Data IMERG in Zhejiang Province
To study the applicability of Global Precipitation Measurement Program(GPM)integrated multi-satellite Retrieval of Precipitation Product(IMERG)in Zhejiang Province,this article analyzes the applicability of GPM on the yearly,seasonal,monthly,daily and hourly scales in Zhejiang Province by using the correlation coefficient,root mean square error,relative deviation and classification index statistical methods as well as the precipitation data of the automatic weather stations in Zhejiang Province.The results show that:(1)The corresponding effects of GPM and automatic weather station data in spring,autumn and winter are far better than that in summer.The corresponding results of GPM and automatic station precipitation data on the monthly,daily and hourly scales are relatively better,but overall the high-value areas are slightly underestimated and the low-value areas are slightly overestimated.(2)On the yearly and seasonal scales,the variation trends of GPM and automatic station average precipitation are consistent,but the GPM precipitation average is higher,with the value for autumn is the best.(3)On the three scales of year,month and day,the finer the scale,the higher the correlation coefficient,the smaller the relative deviation,and the smaller the root mean square error.On the three scales of hour,day and month,the lower the precipitation threshold,the rougher the product scale,and the higher the estimation ability;the lower the precipitation threshold,the finer the product scale,and the lower the false alarm rate;the lower the precipitation threshold,the higher the comprehensive detection capability.(4)On the hourly scale,in the range of 0.5～1 mm·hi-1,the GPM slightly overestimates the precipitation events,but the fitting effect is better.In summary,the GPM daily precipitation data has a bigger application potential in Zhejiang Province.
global precipitation measurement(GPM)retrieved precipitation dataapplicabilityZhejiang Provinceintegrated multi-satellite retrieval of precipitation products(IMERG)
NETL
NSTL
万方数据
