다중 위성영상 기반 강우자료를 활용한 동아시아 지역의 기상학적 가뭄지수 비교 분석

초록

East Asia, which includes China, Japan, Korea, and Mongolia, is highly impacted by hydroclimate extremes such drought, flood, and typhoon recentyear. In 2017, more than 18.5 million hectares of crops have been damaged in China, and Korea has suffered economic losses as a result of severedrought. Satellite-derived rainfall products are becoming more accurate as space and time resolution become increasingly higher, and provide analternative means of estimating ground-based rainfall. In this study, we verified the availability of rainfall products by comparing widely used satelliteimages such as Climate Hazards Groups InfraRed Precipitation with Station (CHIRPS), Global Precipitation Climatology Centre (GPCC), andPrecipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) with groundstations in East Asia. Also, the satellite-based rainfall products were used to calculate the Standardized Precipitation Index (SPI). The temporal resolutionis based on monthly images and compared with the past 30 years data from 1989 to 2018. The comparison between rainfall data based on each satelliteimage products and the data from weather station-based weather data was shown by the coefficient of determination and showed more than 0.9. Eachsatellite-based rainfall data was used for each grid and applied to East Asia and South Korea. As a result of SPI analysis, the RMSE values ofCHIRPS were 0.57, 0.53 and 0.47, and the MAE values of 0.46, 0.43 and 0.37 were better than other satellite products. This satellite-derived rainfallestimates offers important advantages in terms of spatial coverage, timeliness and cost efficiency compared to analysis for drought assessment withground stations.

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