Ensemble Hydrometeorological Forecasts Using WRF Hourly QPF and TopModel for a Middle Watershed

Quantitative precipitation forecasts (QPFs) were obtained from ensembles of the weather and research forecasting (WRF) model for the Iguaçu river watershed (IRW) in southern Brazil. Thirty-two rainfall events between 2005 and 2010 were simulated with ten configurations of WRF. These rainfall events...

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Main Authors: Leonardo Calvetti, Augusto José Pereira Filho
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2014/484120
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author Leonardo Calvetti
Augusto José Pereira Filho
author_facet Leonardo Calvetti
Augusto José Pereira Filho
author_sort Leonardo Calvetti
collection DOAJ
description Quantitative precipitation forecasts (QPFs) were obtained from ensembles of the weather and research forecasting (WRF) model for the Iguaçu river watershed (IRW) in southern Brazil. Thirty-two rainfall events between 2005 and 2010 were simulated with ten configurations of WRF. These rainfall events range from local to synoptic scale convection and caused a significant increase in the level of the Iguaçu river. In the average, the ensembles yielded up to 20% better skill than single WRF forecasts for the events analyzed. WRF ensembles also allow estimating the predictability through the dispersion of the forecasts providing relevant information for decision-making. Phase errors of ensemble forecasts are larger than amplitude errors. More complex microphysics parameterizations yielded better QPFs with smaller phase errors. QPFs were fed to IRW hydrological model with similar phase and amplitude errors. It is suggested that lagged QPFs might reduce phase errors.
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spelling doaj-art-3e2a2d6bc2e0437781b59d66ba9c392d2025-02-03T00:59:20ZengWileyAdvances in Meteorology1687-93091687-93172014-01-01201410.1155/2014/484120484120Ensemble Hydrometeorological Forecasts Using WRF Hourly QPF and TopModel for a Middle WatershedLeonardo Calvetti0Augusto José Pereira Filho1Institute of Meteorology of Paraná, (SIMEPAR), Rua Francisco H. dos Santos 210, 81531-980 Curitiba, PR, BrazilDepartment of Atmospheric Sciences, University of São Paulo, 05508-090 São Paulo, SP, BrazilQuantitative precipitation forecasts (QPFs) were obtained from ensembles of the weather and research forecasting (WRF) model for the Iguaçu river watershed (IRW) in southern Brazil. Thirty-two rainfall events between 2005 and 2010 were simulated with ten configurations of WRF. These rainfall events range from local to synoptic scale convection and caused a significant increase in the level of the Iguaçu river. In the average, the ensembles yielded up to 20% better skill than single WRF forecasts for the events analyzed. WRF ensembles also allow estimating the predictability through the dispersion of the forecasts providing relevant information for decision-making. Phase errors of ensemble forecasts are larger than amplitude errors. More complex microphysics parameterizations yielded better QPFs with smaller phase errors. QPFs were fed to IRW hydrological model with similar phase and amplitude errors. It is suggested that lagged QPFs might reduce phase errors.http://dx.doi.org/10.1155/2014/484120
spellingShingle Leonardo Calvetti
Augusto José Pereira Filho
Ensemble Hydrometeorological Forecasts Using WRF Hourly QPF and TopModel for a Middle Watershed
Advances in Meteorology
title Ensemble Hydrometeorological Forecasts Using WRF Hourly QPF and TopModel for a Middle Watershed
title_full Ensemble Hydrometeorological Forecasts Using WRF Hourly QPF and TopModel for a Middle Watershed
title_fullStr Ensemble Hydrometeorological Forecasts Using WRF Hourly QPF and TopModel for a Middle Watershed
title_full_unstemmed Ensemble Hydrometeorological Forecasts Using WRF Hourly QPF and TopModel for a Middle Watershed
title_short Ensemble Hydrometeorological Forecasts Using WRF Hourly QPF and TopModel for a Middle Watershed
title_sort ensemble hydrometeorological forecasts using wrf hourly qpf and topmodel for a middle watershed
url http://dx.doi.org/10.1155/2014/484120
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