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Comparison of pre- and post-processors for ensemble streamflow prediction

Cited 24 time in Web of Science Cited 26 time in Scopus
Authors
Kang, Tae-Ho; Kim, Young-Oh; Hong, Il-Pyo
Issue Date
2010
Publisher
Royal Meteorological Society
Citation
Atmospheric Science Letters 11: 153-159
Keywords
ensemble streamflow predictionprobabilistic climate forecasthydrologic modelpre-processorpost-processoruncertainty
Abstract
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.
ISSN
1530-261X
Language
English
URI
http://hdl.handle.net/10371/67750
DOI
https://doi.org/10.1002/asl.276
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Civil & Environmental Engineering (건설환경공학부)Journal Papers (저널논문_건설환경공학부)
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