Utility of Ten-Day Climate Model Ensemble Simulations for Water Resources Applications in Korean Watersheds

Konstantine Georgakakos (), Deg-Hyo Bae and Chang-Sam Jeong

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2005, vol. 19, issue 6, 849-872

Abstract: We demonstrate the use of a quantitative measure of the effectiveness of using climate model simulations of surface precipitation and temperature for water resources applications involving extremes of watershed average precipitation and temperature, and watershed discharge. This diagnostic measure is considered in association with the use of climate information to condition ensemble seasonal predictions of watershed variables. Seven watersheds in the Korean peninsula constitute the application sites. The climate model effectiveness is expressed by a utility index E P that measures the ability of the climate model simulations of an indicator variable (i.e., nodal precipitation or temperature) to discriminate observed distributions of the highs and lows of a watershed target variable (i.e., mean areal precipitation and temperature as well as outlet discharge). Monte Carlo simulations provide estimates of the significance of the E p values. For apparently the first time, ten-member ensemble simulations of daily surface precipitation and temperature from the Korean Meteorological Agency climate model are used to evaluate the climate-model utility index E P for a temporal interval of 10 days for each application watershed. The results show that, in spite of the high uncertainty of climate simulations, there are several Korean watersheds that can benefit from the use of climate model simulations of high temporal resolution for planning and management studies that involve precipitation, temperature and discharge. In particular, seasonal ensemble prediction of watershed variables stands to gain from conditioning on high-temporal resolution climate forecasts. Copyright Springer Science + Business Media, Inc. 2005

Keywords: climate prediction; uncertainty analysis; water resource planning and management (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s11269-005-5605-x

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