Precipitation forecasts and their uncertainty as input into hydrological models

Torrential streams and fast runoff are characteristic of most Slovenian rivers and extensive damage is caused almost every year by rainstorms affecting different regions of Slovenia. Rainfall-runoff models which are tools for runoff calculation can be used for flood forecasting. In Slovenia, the lag...

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Main Authors: M. Kobold, K. Sušelj
Format: Article
Language:English
Published: Copernicus Publications 2005-01-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/9/322/2005/hess-9-322-2005.pdf
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author M. Kobold
M. Kobold
K. Sušelj
author_facet M. Kobold
M. Kobold
K. Sušelj
author_sort M. Kobold
collection DOAJ
description Torrential streams and fast runoff are characteristic of most Slovenian rivers and extensive damage is caused almost every year by rainstorms affecting different regions of Slovenia. Rainfall-runoff models which are tools for runoff calculation can be used for flood forecasting. In Slovenia, the lag time between rainfall and runoff is only a few hours and on-line data are used only for now-casting. Predicted precipitation is necessary in flood forecasting some days ahead. The ECMWF (European Centre for Medium-Range Weather Forecasts) model gives general forecasts several days ahead while more detailed precipitation data with the ALADIN/SI model are available for two days ahead. Combining the weather forecasts with the information on catchment conditions and a hydrological forecasting model can give advance warning of potential flooding notwithstanding a certain degree of uncertainty in using precipitation forecasts based on meteorological models. Analysis of the sensitivity of the hydrological model to the rainfall error has shown that the deviation in runoff is much larger than the rainfall deviation. Therefore, verification of predicted precipitation for large precipitation events was performed with the ECMWF model. Measured precipitation data were interpolated on a regular grid and compared with the results from the ECMWF model. The deviation in predicted precipitation from interpolated measurements is shown with the model bias resulting from the inability of the model to predict the precipitation correctly and a bias for horizontal resolution of the model and natural variability of precipitation.
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spelling doaj.art-fcc8cbdf73fc440b8455a40fd8fb3ae02022-12-22T03:06:58ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382005-01-0194322332Precipitation forecasts and their uncertainty as input into hydrological modelsM. KoboldM. KoboldK. SušeljTorrential streams and fast runoff are characteristic of most Slovenian rivers and extensive damage is caused almost every year by rainstorms affecting different regions of Slovenia. Rainfall-runoff models which are tools for runoff calculation can be used for flood forecasting. In Slovenia, the lag time between rainfall and runoff is only a few hours and on-line data are used only for now-casting. Predicted precipitation is necessary in flood forecasting some days ahead. The ECMWF (European Centre for Medium-Range Weather Forecasts) model gives general forecasts several days ahead while more detailed precipitation data with the ALADIN/SI model are available for two days ahead. Combining the weather forecasts with the information on catchment conditions and a hydrological forecasting model can give advance warning of potential flooding notwithstanding a certain degree of uncertainty in using precipitation forecasts based on meteorological models. Analysis of the sensitivity of the hydrological model to the rainfall error has shown that the deviation in runoff is much larger than the rainfall deviation. Therefore, verification of predicted precipitation for large precipitation events was performed with the ECMWF model. Measured precipitation data were interpolated on a regular grid and compared with the results from the ECMWF model. The deviation in predicted precipitation from interpolated measurements is shown with the model bias resulting from the inability of the model to predict the precipitation correctly and a bias for horizontal resolution of the model and natural variability of precipitation.http://www.hydrol-earth-syst-sci.net/9/322/2005/hess-9-322-2005.pdf
spellingShingle M. Kobold
M. Kobold
K. Sušelj
Precipitation forecasts and their uncertainty as input into hydrological models
Hydrology and Earth System Sciences
title Precipitation forecasts and their uncertainty as input into hydrological models
title_full Precipitation forecasts and their uncertainty as input into hydrological models
title_fullStr Precipitation forecasts and their uncertainty as input into hydrological models
title_full_unstemmed Precipitation forecasts and their uncertainty as input into hydrological models
title_short Precipitation forecasts and their uncertainty as input into hydrological models
title_sort precipitation forecasts and their uncertainty as input into hydrological models
url http://www.hydrol-earth-syst-sci.net/9/322/2005/hess-9-322-2005.pdf
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