Journal
ATMOSPHERIC SCIENCE LETTERS
Volume 11, Issue 2, Pages 153-159Publisher
WILEY
DOI: 10.1002/asl.276
Keywords
ensemble streamflow prediction; probabilistic climate forecast; hydrologic model; pre-processor; post-processor; uncertainty
Funding
- Ministry of Land, Transport and Maritime Affairs
- Research Center of Flood Defense Technology for Next Generation in Korea Institute of Construction and Transportation Technology Evaluation and Planning
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This study conducted a broad review of the pre- and post-processor methods for ensemble streamflow prediction using a Korean case study. Categorical forecasts offered by the Korea Meteorogical Administration and deterministic forecasts of a regional climate model called Seoul National University Regional Climate Model(SNURCM) were selected as climate forecast information for the pre-processors and incorporated into Ensemble Streamflow Prediction(ESP) runs with the TANK hydrologic model. The post-processors were then used to minimize a possible error propagated through the streamflow generation. The application results show that use of the post-processor more effectively reduced the uncertainty of the no-processor ESP than use of the pre-processor, especially in dry season. Copyright (C) 2010 Royal Meteorological Society
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