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http://dx.doi.org/10.3741/JKWRA.2006.39.10.823

Investigating Remotely Sensed Precipitation from Different Sources and Their Nonlinear Responses in a Physically Based Hydrologic Model  

Oh, Nam-Sun (Dept. of Ocean Civil Eng., Mokpo National Maritime University)
Lee, Khil-Ha (GIS Research Institute, Kyungwon University)
Kim, Sang-Jun (Dept. of Civil Eng., Kyungwon University)
Publication Information
Journal of Korea Water Resources Association / v.39, no.10, 2006 , pp. 823-832 More about this Journal
Abstract
Precipitation is the most important component to the study of water and energy cycle in hydrology. In this study we investigate rainfall retrieval uncertainty from different sources of remotely sensed precipitation field and then probable error propagation in the simulation of hydrologic variables especially, runoff on different vegetation cover. Two remotely sensed rainfall retrievals (space-borne IR-only and ground radar rainfall) are explored and compared visually and statistically. Then, an offline Community Land Model (CLM) is forced with in situ meteorological data to simulate the amount of runoff and determine their impact on model predictions. A fundamental assumption made in this study is that CLM can adequately represent the physical land surface processes. Results show there are big differences between different sources of precipitation fields in terms of the magnitude and temporal variability. The study provides some intuitions on the uncertainty of hydrologic prediction via the interaction between the land surface and near atmosphere fluxes in the modelling approach. Eventually it will contribute to the understanding of water resources redistribution to the climate change in Korean Peninsula.
Keywords
precipitation; radar; IR; CLM;
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연도 인용수 순위
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