Applicability evaluation of GPM IMERG satellite precipitation data in Qinghai
In order to explore the applicability of GPM IMERG satellite precipitation data in Qinghai,the applicability is evaluated by using correlation coefficient(CC),root mean square error(RMSE)and relative bias(RB)based on the precipitation observation data from 31 meteorological stations in the area from 2001 to 2017.The results are as follows:(1)At annual and monthly scales,GPM IME-RG satellite precipitation data has high consistency with ground station precipitation data measured from station(CCyear=0.741,CCmonth=0.768).The monthly RMSE is 30.878 mm.GPM IMERG pre-cipitation is generally underestimated(RB=-17.77％).(2)At spatial scale,there is a significant spatial difference in accuracy verification between GPM IMERG satellite precipitation data and pre-cipitation data from a single station.The accuracy of GPM IMERG satellite precipitation data in the southern Qinghai is significantly higher than that in the northern region.However,the precipitation of GPM IMERG at most stations is underestimated,while overestimation mainly concentrated in the Qai-dam Basin.(3)As the altitude and precipitation data measured by terrain fluctuation change,GPM IMERG satellite precipitation data and precipitation data measured by meteorological stations have the same variation trend.As the altitude gradient increases,the monitoring of precipitation by GPM IMERG gradually shifts from low to high.(4)Based on the Köppen climate classification,the accu-racy evaluation results show that GPM IMERG has the highest accuracy in the Bwk(arid desert-cold climate)and ET(cold tundra climate)climate type areas,followed by the Dwc(dry winter-cold summer climate)climate type areas,and the lowest accuracy in the Bsk(dry grassland-cold climate)and Dwb(dry winter-warm summer climate)climate.
GPM IMERGapplicability analysisevaluation indexQinghai region
NETL
NSTL
万方数据
