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http://dx.doi.org/10.5467/JKESS.2018.39.6.533

Accuracy Assessment of the Satellite-based IMERG's Monthly Rainfall Data in the Inland Region of Korea  

Ryu, Sumin (Department of Environment, Energy, and Geoinformatics, Sejong University)
Hong, Sungwook (Department of Environment, Energy, and Geoinformatics, Sejong University)
Publication Information
Journal of the Korean earth science society / v.39, no.6, 2018 , pp. 533-544 More about this Journal
Abstract
Rainfall is one of the most important meteorological variables in meteorology, agriculture, hydrology, natural disaster, construction, and architecture. Recently, satellite remote sensing is essential to the accurate detection, estimation, and prediction of rainfall. In this study, the accuracy of Integrated Multi-satellite Retrievals for GPM (IMERG) product, a composite rainfall information based on Global Precipitation Measurement (GPM) satellite was evaluated with ground observation data in the inland of Korea. The Automatic Weather Station (AWS)-based rainfall measurement data were used for validation. The IMERG and AWS rainfall data were collocated and compared during one year from January 1, 2016 to December 31, 2016. The coastal regions and islands were also evaluated irrespective of the well-known uncertainty of satellite-based rainfall data. Consequently, the IMERG data showed a high correlation (0.95) and low error statistics of Bias (15.08 mm/mon) and RMSE (30.32 mm/mon) in comparison to AWS observations. In coastal regions and islands, the IMERG data have a high correlation more than 0.7 as well as inland regions, and the reliability of IMERG data was verified as rainfall data.
Keywords
rainfall; IMERG; AWS; accuracy assessment;
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