A Multistep Automatic Calibration Scheme for River Forecasting Models
| Autor: | Hoshin V. Gupta, Dean Braatz, Terri S. Hogue, Soroosh Sorooshian, Andrea Holz |
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| Rok vydání: | 2000 |
| Předmět: | |
| Zdroj: | Scopus-Elsevier |
| ISSN: | 1525-7541 1525-755X |
| DOI: | 10.1175/1525-7541(2000)001<0524:amacsf>2.0.co;2 |
| Popis: | Operational flood forecasting models vary in complexity, but nearly all have parameters for which values must be estimated. The traditional and widespread manual calibration approach requires considerable training and experience and is typically laborious and time consuming. Under the Advanced Hydrologic Prediction System modernization program, National Weather Service (NWS) hydrologists must produce rapid calibrations for roughly 4000 forecast points throughout the United States. The classical single-objective automatic calibration approach, although fast and objective, has not received widespread acceptance among operational hydrologists. In the work reported here, University of Arizona researchers and NWS personnel have collaborated to combine the strengths of the manual and automatic calibration strategies. The result is a multistep automatic calibration scheme (MACS) that emulates the progression of steps followed by NWS hydrologists during manual calibration and rapidly provides acceptable ... |
| Databáze: | OpenAIRE |
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