Articles | Volume 14, issue 8
https://doi.org/10.5194/hess-14-1639-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-14-1639-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A past discharge assimilation system for ensemble streamflow forecasts over France – Part 2: Impact on the ensemble streamflow forecasts
G. Thirel
IES, Joint Research Centre, European Commission, Ispra, Italy
CNRM-GAME/GMME, Météo-France, URA 1357, Toulouse, France
E. Martin
CNRM-GAME/GMME, Météo-France, URA 1357, Toulouse, France
J.-F. Mahfouf
CNRM-GAME/GMME, Météo-France, URA 1357, Toulouse, France
S. Massart
URA CNRS/CERFACS No. 1875, Toulouse, France
S. Ricci
URA CNRS/CERFACS No. 1875, Toulouse, France
F. Regimbeau
Direction de la climatologie, Météo-France, Toulouse, France
F. Habets
UMR Sisyphe, UPMC, ENSMP, CNRS, Paris, France
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- Assessment of land surface model uncertainty: A crucial step towards the identification of model weaknesses G. Dumedah & J. Walker 10.1016/j.jhydrol.2014.09.015
- Assessing model state and forecasts variation in hydrologic data assimilation J. Samuel et al. 10.1016/j.jhydrol.2014.03.048
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- HESS Opinions "Forecaster priorities for improving probabilistic flood forecasts" F. Wetterhall et al. 10.5194/hess-17-4389-2013
- Assimilation of stream discharge for flood forecasting: Updating a semidistributed model with an integrated data assimilation scheme Y. Li et al. 10.1002/2014WR016667
- The Met Office Operational Soil Moisture Analysis System B. Gómez et al. 10.3390/rs12223691
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- From calibration to real‐time operations: an assessment of three precipitation benchmarks for a Swiss river system N. Andres et al. 10.1002/met.1569
- A pan-African medium-range ensemble flood forecast system V. Thiemig et al. 10.5194/hess-19-3365-2015
- Remote sensing data assimilation A. Nair et al. 10.1080/02626667.2020.1761021
- Analysis of the hydrological response of a distributed physically-based model using post-assimilation (EnKF) diagnostics of streamflow and in situ soil moisture observations M. Trudel et al. 10.1016/j.jhydrol.2014.03.072
- On the difficulty to optimally implement the Ensemble Kalman filter: An experiment based on many hydrological models and catchments A. Thiboult & F. Anctil 10.1016/j.jhydrol.2015.09.036
- Catchment response to intense rainfall: Evaluating modelling hypotheses P. Astagneau et al. 10.1002/hyp.14676
- Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling V. Manikanta & N. Umamahesh 10.2166/wcc.2023.043
- Impact of improved meteorological forcing, profile of soil hydraulic conductivity and data assimilation on an operational Hydrological Ensemble Forecast System over France M. Coustau et al. 10.1016/j.jhydrol.2015.04.022
- Improving probabilistic flood forecasting through a data assimilation scheme based on genetic programming L. Mediero et al. 10.5194/nhess-12-3719-2012
- Comparison of Sequential and Variational Streamflow Assimilation Techniques for Short-Term Hydrological Forecasting M. Abaza et al. 10.1061/(ASCE)HE.1943-5584.0001013
- Assessing the Potential of Upcoming Satellite Altimeter Missions in Operational Flood Forecasting Systems A. Falck et al. 10.3390/rs13214459
- Impact of streamflow data assimilation and length of the verification period on the quality of short-term ensemble hydrologic forecasts A. Randrianasolo et al. 10.1016/j.jhydrol.2014.09.032
- Why Should Ensemble Spread Match the RMSE of the Ensemble Mean? V. Fortin et al. 10.1175/JHM-D-14-0008.1
- Why hydrological predictions should be evaluated using information theory S. Weijs et al. 10.5194/hess-14-2545-2010
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- Variational assimilation of streamflow data in distributed flood forecasting G. Ercolani & F. Castelli 10.1002/2016WR019208
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- Evolutionary assimilation of streamflow in distributed hydrologic modeling using in-situ soil moisture data G. Dumedah & P. Coulibaly 10.1016/j.advwatres.2012.07.012
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