Can a multi-model approach improve hydrological ensemble forecasting? A study on 29 French catchments using 16 hydrological model structures

"An operational hydrological ensemble forecasting system based on a meteorological ensemble prediction system (M-EPS) coupled with a hydrological model searches to capture the uncertainties associated with the meteorological prediction to better predict river flows. However, the structure of th...

Full description

Bibliographic Details
Author: Juan Alberto Velazquez
Format: article
Status:Published version
Publication Date:2011
Country:México
Institution:El Colegio de San Luis
Repository:Repositorio COLSAN
Language:English
OAI Identifier:oai:colsan.repositorioinstitucional.mx:1013/910
Online Access:http://colsan.repositorioinstitucional.mx/jspui/handle/1013/910
Access Level:Open access
Keyword:info:eu-repo/classification/LEMB/Metereología
info:eu-repo/classification/LEMB/Climatología
info:eu-repo/classification/LEMB/Hidrología
info:eu-repo/classification/LEMB/Lluvia y régimen pluviométrico
info:eu-repo/classification/cti/2
info:eu-repo/classification/cti/24
info:eu-repo/classification/cti/2499
Description
Summary:"An operational hydrological ensemble forecasting system based on a meteorological ensemble prediction system (M-EPS) coupled with a hydrological model searches to capture the uncertainties associated with the meteorological prediction to better predict river flows. However, the structure of the hydrological model is also an important source of uncertainty that has to be taken into account. This study aims at evaluating and comparing the performance and the reliability of different types of hydrological ensemble prediction systems (H-EPS), when ensemble weather forecasts are combined with a multi-model approach. The study is based on 29 catchments in France and 16 lumped hydrological model structures, driven by the weather forecasts from the European centre for medium-range weather forecasts (ECMWF). Results show that the ensemble predictions produced by a combination of several hydrological model structures and meteorological ensembles have higher skill and reliability than ensemble predictions given either by one single hydrological model fed by weather ensemble predictions or by several hydrological models and a deterministic meteorological forecast."