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다중 위성영상 기반 강우자료를 활용한 동아시아 지역의 기상학적 가뭄지수 비교 분석

Evaluation and Comparison of Meteorological Drought Index using Multi-satellite Based Precipitation Products in East Asia

김태곤|남원호|홍은미|문영식|서찬양
한국농공학회 (The Korean Society Of Agricultural Engineers)|2020.01|한국농공학회논문집 (Journal of the Korean Society of Agricultural Engineers)|제62권 제1호|pp. 83-93|DOI https://doi.org/10.5389/KSAE.2020.62.1.083

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참고문헌

키워드

East AsiaCHIRPSprecipitationStandardized Precipitation Index (SPI)meteorological droughtSatellite image
주제분류농학

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.

Abstract

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.

참고문헌 (37)

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위성기반 Climate Hazards Group InfraRed Precipitation with Station (CHIRPS)를 활용한한반도 지역의 기상학적 가뭄지수 적용김태곤, 남원호, 문영식, 전민기, 홍은미, Michael J. Hayes, Tsegaye Tadesse한국농공학회 · 한국농공학회논문집2019 · 제61권 제2호전지구 강수관측위성 기반 격자형 강우자료를 활용한 2022년 국내 가뭄 분석남원호, 도종원, 문영식, 이광야, 전민기한국농공학회 · 한국농공학회논문집2024 · 제66권 제4호전지구 격자형 CHIRPS 위성 강우자료의 한반도 적용성 분석김한중, 남원호, 문영식, 전민기한국농공학회 · 한국농공학회논문집2020 · 제62권 제2호위성기반 가뭄지수의 상호비교를 통한 한반도 농업가뭄 분석김나리, 박성욱, 손은하, 윤예슬, 이수진, 이양원, 장재동기후연구소 · 기후연구2018 · 제13권 제4호인공위성 기반 TRMM/GPM 강우 이미지를 이용한 농업 가뭄 평가: 충청북도 지역을 중심으로김상우, 신용철, 이태화, 정영훈한국농공학회 · 한국농공학회논문집2018 · 제60권 제4호미계측지역의 위성강우 기반 가뭄감시 평가박경원, 윤선권, 이성규, 이태화, 장상민한국농공학회 · 한국농공학회논문집2018 · 제60권 제2호

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