Posters HS4.2
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HS4.2 Hydrological forecasting: challenges in uncertainty estimation, data assimilation, post-processing and decision-making |
| Convener: Robert Moore | Co-Conveners: Albrecht Weerts , Henrik Madsen |
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Attendance Time: Friday, 12 April 2013, 10:30–12:00 Red Posters Chairperson: Albrecht Weerts |
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R268
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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 |
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R269
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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 |
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R270
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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 (withdrawn) Albrecht Weerts, Arno Kockx, Werner Kramer, Sibren Loos, Julius Sumihar, Ghada El Serafy, and Kyunghyun Kim |
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R272
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EGU2013-285
Dynamic-stochastic modelling of snow cover characteristics over the European Russia Vsevolod Moreydo |
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R273
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EGU2013-3574
| 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 |
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R274
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EGU2013-9549
Systematic deviation between COSMO-EU precipitation forecast and measured precipitation Andreas Steinbrich and Markus Weiler |
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R275
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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 |
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R276
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EGU2013-6186
Local flood forecasting using guided model construction, data assimilation and web interfaces Paul Smith and Keith Beven |