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http://dx.doi.org/10.17663/JWR.2018.20.4.345

Performance Evaluation of Rainfall Disaggregation according to Temporal Scale of Rainfall Data  

Lee, Jeonghoon (Institute of Environmental Research, Pukyong National University)
Jang, Juhyoung (Water Quality Assessment Research Department, National Institute of Environmental Research)
Kim, Sangdan (Department of Environmental Engineering, Pukyong National University)
Publication Information
Journal of Wetlands Research / v.20, no.4, 2018 , pp. 345-352 More about this Journal
Abstract
In this study, rainfall data with various temporal scales (3-, 6-, 12-, 24-hr) are disaggregated into 1-hourly rainfall data to evaluate the performance of rainfall disaggregation technique. The rainfall disaggregation technique is based on a database generated by the stochastic point rainfall model, the Neyman-Scott Rectangular Pulse Model (NSRPM). Performance evaluation is carried out using July rainfall data of Ulsan, Changwon, Busan and Milyang weather stations in Korea. As a result, the rainfall disaggregation technique showed excellent performance that can consider not only the major statistics of rainfall but also the spatial correlation. It also indirectly shows the uncertainty of future climate change scenarios with daily temporal scale. The rainfall disaggregation technique is expected to disaggregate the future climate change scenarios, and to be effective in the future watershed management.
Keywords
Climate Change; Rainfall Disaggregation; Downscaling; Stochastic Rainfall Model;
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Times Cited By KSCI : 3  (Citation Analysis)
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