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

被引：29

作者：

Kang, Tae-Ho ^{[2
]}

Kim, Young-Oh ^{[1
]}

Hong, Il-Pyo ^{[2
]}

机构：

[1] Seoul Natl Univ, Dept Civil & Environm Engn, Seoul 151742, South Korea

[2] Korea Inst Construct Technol, Water Resources Res Div, Goyang Si 411712, Gyeonggi Do, South Korea

来源：

ATMOSPHERIC SCIENCE LETTERS | 2010年 / 11卷 / 02期

关键词：

ensemble streamflow prediction; probabilistic climate forecast; hydrologic model; pre-processor; post-processor; uncertainty;

D O I：

10.1002/asl.276

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

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

引用

页码：153 / 159

页数：7

共 11 条

[1]

[Anonymous], 1971, APPL EC FORECASTING

[2]

Clark M, 2004, J HYDROMETEOROL, V5, P243, DOI 10.1175/1525-7541(2004)005<0243:TSSAMF>2.0.CO

[3]

[4]

DAY GN, 1985, J WATER RES PL-ASCE, V111, P147

[5]

KANG BS, 2007, KOREAN SOC CIVIL ENG, V27, P183

[6]

Schaake J., 2007, Hydrology and Earth System Sciences Discussions Discussions, V4, P655, DOI [DOI 10.5194/HESSD-4-655-2007, 10.5194/hessd-4-655-2007]

[7]

Seo D.-J., 2006, Hydrol. Earth Syst. Sci. Discuss., V3, DOI [10.5194/hessd-3-1987-2006, DOI 10.5194/HESSD-3-1987-2006]

[8] How Essential is Hydrologic Model Calibration to Seasonal Streamflow Forecasting? [J].

Shi, Xiaogang ;

Wood, Andrew W. ;

Lettenmaier, Dennis P. .

JOURNAL OF HYDROMETEOROLOGY, 2008, 9 (06) :1350-1363

[9] NONPARAMETRIC FRAMEWORK FOR LONG-RANGE STREAMFLOW FORECASTING [J].

SMITH, JA ;

DAY, GN ;

KANE, MD .

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 1992, 118 (01) :82-92

[10]

STEDINGER JR, 2002, C WAT RES PLANN MAN

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