BAYESIAN SYSTEM FOR PROBABILISTIC RIVER STAGE FORECASTING
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dc.contributor.author | Krzysztofowicz R. | |
dc.date.accessioned | 2021-05-04T05:49:26Z | |
dc.date.available | 2021-05-04T05:49:26Z | |
dc.date.issued | 2002 | |
dc.identifier | https://www.elibrary.ru/item.asp?id=1258529 | |
dc.identifier.citation | Journal of Hydrology, 2002, 268, 1-4, 16-40 | |
dc.identifier.issn | 0022-1694 | |
dc.identifier.uri | https://repository.geologyscience.ru/handle/123456789/28353 | |
dc.description.abstract | The purpose of this analytic-numerical Bayesian forecasting system (BFS) is to produce a short-term probabilistic river stage forecast based on a probabilistic quantitative precipitation forecast as an input and a deterministic hydrologic model (of any complexity) as a means of simulating the response of a headwater basin to precipitation. The BFS has three structural components: the precipitation uncertainty processor, the hydrologic uncertainty processor, and the integrator. A series of articles described the Bayesian forecasting theory and detailed each component of this particular BFS. This article presents a synthesis: the total system, operational expressions, estimation procedures, numerical algorithms, a complete example, and all design requirements, modeling assumptions, and operational attributes. | |
dc.subject | BAYESIAN ANALYSIS | |
dc.subject | STOCHASTIC PROCESSES | |
dc.subject | STATISTICAL ANALYSIS | |
dc.subject | PROBABILITY | |
dc.subject | RIVERS | |
dc.subject | FLOODS | |
dc.title | BAYESIAN SYSTEM FOR PROBABILISTIC RIVER STAGE FORECASTING | |
dc.type | Статья |
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