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

Park, Sojung; Park, Seon Ki; Lee, Jeung Whan; Park, Yunho

doi:https://doi.org/10.5194/hess-22-3435-2018

Articles | Volume 22, issue 6

https://doi.org/10.5194/hess-22-3435-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-3435-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 6

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, Seon Ki Park, Jeung Whan Lee, and Yunho Park

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/

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.