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http://dx.doi.org/10.3741/JKWRA.2017.50.1.17

Generation of radar rainfall data for hydrological and meteorological application (II) : radar rainfall ensemble  

Kim, Tae-Jeong (Department of Civil Engineering, Chonbuk National University)
Lee, Dong-Ryul (Water Resources Research Division, Korea Institute of Civil Engineering and Building Technology)
Jang, Sang-Min (Climate Application Team, APEC Climate Center)
Kwon, Hyun-Han (Department of Civil Engineering, Chonbuk National University)
Publication Information
Journal of Korea Water Resources Association / v.50, no.1, 2017 , pp. 17-28 More about this Journal
Abstract
A recent increase in extreme weather events and flash floods associated with the enhanced climate variability results in an increase in climate-related disasters. For these reasons, various studies based on a high resolution weather radar system have been carried out. The weather radar can provide estimates of precipitation in real-time over a wide area, while ground-based rain gauges only provides a point estimate in space. Weather radar is thus capable of identifying changes in rainfall structure as it moves through an ungauged basin. However, the advantage of the weather radar rainfall estimates has been limited by a variety of sources of uncertainty in the radar reflectivity process, including systematic and random errors. In this study, we developed an ensemble radar rainfall estimation scheme using the multivariate copula method. The results presented in this study confirmed that the proposed ensemble technique can effectively reproduce the rainfall statistics such as mean, variance and skewness (more importantly the extremes) as well as the spatio-temporal structure of rainfall fields.
Keywords
Weather Radar; Radar Rainfall; Copula; Rainfall Ensemble;
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Times Cited By KSCI : 1  (Citation Analysis)
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