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Posters HS4.2

HS4.2

Hydrological forecasting: Untangling and reducing predictive uncertainty through improved model process description, data assimilation and post-processing
Convener: Robert Moore  | Co-Conveners: Henrik Madsen , Albrecht Weerts 
Orals
 / Wed, 30 Apr, 10:30–12:00  / Room R11
Posters
 / Attendance Wed, 30 Apr, 17:30–19:00  / Red Posters

Attendance Time: Wednesday, 30 April 2014, 17:30–19:00
Red Posters
Chairperson: A. Weerts
R263
EGU2014-14271 | presentation
Development of an extended Kalman Filter on the Oise river's watershed : application to the hydrological model HYDRABV-SCS at Hirson
Vanessya LABORIE, François HISSEL, Philippe SERGENT, Laurence FAYET, Bertrand de BRUYN, and Thierry LE PELLETIER

R264
EGU2014-4680
Assimilation of cosmic-ray neutron counts for updating of soil moisture and soil properties with application to irrigation scheduling
Xujun Han, Harrie-Jan Hendricks Franssen, Miguel Ángel Jiménez Bello, Rafael Rosolem, Heye Bogena, Fernando Martínez Alzamora, André Chanzy, and Harry Vereecken

R265
EGU2014-16806
Operational data assimilation for improving hydrologic, hydrodynamic, and water quality forecasting using open tools
Albrecht Weerts, Arno Kockx, Julius Sumihar, Martin Verlaan, Stef Hummel, Werner Kramer, and Simone de Klaermaker

R266
EGU2014-16896
A flexible open data assimilation framework for hydrological modelling
Nils van Velzen, Marc Ridler, Umer Altaf, Henrik Madsen, and Arnold Heemink

R267
EGU2014-10520
Improvement of hydrological flood forecasting through an event based output correction method
Daniel Klotz and Hans Peter Nachtnebel

R268
EGU2014-14591
Alternative configurations of Quantile Regression for estimating predictive uncertainty in water level forecasts for the Upper Severn River: a comparison
Patricia Lopez, Jan Verkade, Albrecht Weerts, and Dimitri Solomatine

R269
EGU2014-7076
Committee of machine learning predictors of hydrological models uncertainty
Nagendra Kayastha and Dimitri Solomatine

R270
EGU2014-5413
Reducing parameters uncertainty of a distributed hydrological model by using ground stations and remote sensing data
Francesco Silvestro, Simone Gabellani, Roberto Rudari, Fabio Delogu, Paola Laiolo, and Giorgio Boni

R271
EGU2014-372
Can streamflow data provide more certain TSS predictions?
Anna E. Sikorska, Andreas Scheidegger, Dario Del Giudice, Kazimierz Banasik, and Jörg Rieckermann

R272
EGU2014-1834
Searching for an optimized single criteria matching multiple objectives with automatic calibration of hydrological models
Yu Sun, Fuqiang Tian, Hongchang Hu, and Hongyi Li

R273
EGU2014-429
Reduction of forecast uncertainty in the context of hydropower production: a case study for two catchment in Lac-St-Jean, Canada
Cathy Brisson, Marie-Amélie Boucher, and Marco Latraverse

R274
EGU2014-10056
Frozen soil scheme for high latitude regions in land surface models
Arman Ganji and Laxmi Sushama

R275
EGU2014-15019
Quantifying the relative magnitude of sources of uncertainty in river flow projections under climate change: An assessment for the Mekong River
Amanda Green, Julian Thompson, Daniel Kingston, and Simon Gosling