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2020 Vol.62, Issue 1 Preview Page
Evaluation and Comparison of Meteorological Drought Index using Multi-satellite Based Precipitation Products in East Asia

다중 위성영상 기반 강우자료를 활용한 동아시아 지역의 기상학적 가뭄지수 비교 분석

Young-Sik Muna
,
Won-Ho Namb†
,
Taegon Kimc
,
Eun-Mi Hongd
,
Chanyang Sure
문 영식a
,
남 원호b†
,
김 태곤c
,
홍 은미d
,
서 찬양e
aGraduate Student, Department of Bioresources and Rural Systems Engineering, Hankyong National University, Anseong, Republic of Korea
bAssistant Professor, Department of Bioresources and Rural Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University, Anseong, Republic of Korea
cResearcher Associate, Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, USA
dAssistant Professor, School of Natural Resources and Environmental Science, Kangwon National University, Chuncheon, Republic of Korea
eVisiting Research Scholar, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
a한경 대학교 생명 자원 및 농촌 시스템 공학과 대학원생
b한경 대학교 국립 농업 수자원 연구 센터 농업 환경 과학원 생물 자원 농촌 공학과 조교수
c미국 미네소타 주 세인트 폴에있는 미네소타 대학교 바이오 제품 및 바이오 시스템 공학부 연구원
d강원 대학교 춘천 천연 자원 환경 과학부 조교수
e강원 대학교 춘천 천연 자원 환경 과학부 조교수
† Corresponding author Tel.: +82-31-670-5137, Fax: +82-31-670-5139 E-mail: wonho.nam@hknu.ac.kr
2020. pp. 83-93
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Abstract

East Asia, which includes China, Japan, Korea, and Mongolia, is highly impacted by hydroclimate extremes such drought, flood, and typhoon recent year. 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 severe drought. Satellite-derived rainfall products are becoming more accurate as space and time resolution become increasingly higher, and provide an alternative means of estimating ground-based rainfall. In this study, we verified the availability of rainfall products by comparing widely used satellite images such as Climate Hazards Groups InfraRed Precipitation with Station (CHIRPS), Global Precipitation Climatology Centre (GPCC), and Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) with ground stations in East Asia. Also, the satellite-based rainfall products were used to calculate the Standardized Precipitation Index (SPI). The temporal resolution is based on monthly images and compared with the past 30 years data from 1989 to 2018. The comparison between rainfall data based on each satellite image products and the data from weather station-based weather data was shown by the coefficient of determination and showed more than 0.9. Each satellite-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 of CHIRPS 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 rainfall estimates offers important advantages in terms of spatial coverage, timeliness and cost efficiency compared to analysis for drought assessment with ground stations.

Keywords
Satellite image
precipitation
meteorological drought
Standardized Precipitation Index (SPI)
East Asia
CHIRPS
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Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 62
  • No :1
  • Pages :83-93
  • Received Date : 2019-11-04
  • Revised Date : 2019-12-19
  • Accepted Date : 2019-12-19
  • DOI :https://doi.org/10.5389/KSAE.2020.62.1.083
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