Articles | Volume 22, issue 6
Hydrol. Earth Syst. Sci., 22, 3435–3452, 2018
https://doi.org/10.5194/hess-22-3435-2018
Hydrol. Earth Syst. Sci., 22, 3435–3452, 2018
https://doi.org/10.5194/hess-22-3435-2018

Research article 27 Jun 2018

Research article | 27 Jun 2018

Geostatistical assessment of warm-season precipitation observations in Korea based on the composite precipitation and satellite water vapor data

Sojung Park et al.

Data sets

An introduction to Himawari-8/9 - Japan's new-generation geostationary meteorological satellites K. Bessho, K. Date, M. Hayashi, A. Ikeda, T. Imai, H. Inoue, Y. Kumagai, T. Miyakawa, H. Murata, T. Ohno, A. Okuyama, R. Oyama, Y. Sasaki, Y. Shimazu, K. Shimoji, Y. Sumida, K. Shimoji, Y. Sumida, M. Suzuki, H. Taniguchi, H. Tsuchiyama, D. Uesawa, H. Yokota, and R. Yoshida https://doi.org/10.2151/jmsj.2016-009

Prediction system using extrapolation-based nowcasting techniques for very short-range forecasting and improvement of 1 hr accumulated precipitation forecasts D.-I. Hwang, J. W. Lee, D.-I. Seo, H. Na, and Y.-K. Seo http://203.247.66.28/

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Short summary
Understanding the precipitation characteristics is essential to design an optimal observation network. We studied the spatial and temporal characteristics of summertime precipitation systems in Korea via geostatistical analyses on the ground-based precipitation and satellite water vapor data. We found that, under a strict standard, an observation network with higher resolution is required in local areas with frequent heavy rainfalls, depending on directional features of precipitation systems.