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Posters HS4.2

HS4.2

Hydrological forecasting: challenges in uncertainty estimation, data assimilation, post-processing and decision-making
Convener: Robert Moore  | Co-Conveners: Albrecht Weerts , Henrik Madsen 
Orals
 / Fri, 12 Apr, 08:30–10:00  / Room R8
Posters
 / Attendance Fri, 12 Apr, 10:30–12:00  / Red Posters

Attendance Time: Friday, 12 Apr, 10:30–12:00
Red Posters
Chairperson: Albrecht Weerts
R268
EGU2013-2387
A Study on Estimation on Flood Warning Trigger Rainfall in medium and small Stream Affected by Urban Effects
Song Youngseok, Park Moojong, Lee JungHo, and Lee HeeSup

R269
EGU2013-9971
Interactions between spatial complexity and distributed hydrological model response: towards the better identification and handling of structural error in model predictions.
Vincent Humphrey, Stuart Lane, and Mikhail Kanevski

R270
EGU2013-66
Information-Based Analysis of Bayes Filtering
Grey Nearing, Hoshin Gupta, Wade Crow, and Wei Gong

R271 EGU2013-7001
Operational data assimilation and forecasting with a Hydrodynamic and Water Quality model (EFDC) in Delft-FEWS using OpenDA: example for water quality forecasting for the Han River. (withdrawn)
Albrecht Weerts, Arno Kockx, Werner Kramer, Sibren Loos, Julius Sumihar, Ghada El Serafy, and Kyunghyun Kim

R272
EGU2013-285
Dynamic-stochastic modelling of snow cover characteristics over the European Russia
Vsevolod Moreydo

R273
EGU2013-3574 | presentation | presentation
The FAST-T approach for operational, real time, short term hydrological forecasting: Results from the Betania Hydropower Reservoir case study
Efraín Domínguez, Hector Angarita, Thomas Rosmann, Zulma Mendez, and Gustavo Angulo

R274
EGU2013-9549
Systematic deviation between COSMO-EU precipitation forecast and measured precipitation
Andreas Steinbrich and Markus Weiler

R275
EGU2013-9466
Use of different sampling schemes in machine learning-based prediction of hydrological models' uncertainty
Nagendra Kayastha, Dimitri Solomatine, Durga Lal Shrestha, and Ann van Griensven

R276
EGU2013-6186
Local flood forecasting using guided model construction, data assimilation and web interfaces
Paul Smith and Keith Beven