Orals HS3.1
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HS3.1 Hydroinformatics: computational intelligence, systems analysis and optimisation |
| Convener: Robert J. Abrahart | Co-Conveners: Elena Toth , Dimitri Solomatine |
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Monday, 8 April 2013 Room R11 Chairperson: Prof Dimitri Solomatine |
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| 08:30–08:45 |
EGU2013-1412
Probabilistic correction of precipitation measurement errors using a Bayesian Model Average Approach applied for the estimation of glacier accumulation Vladimir Moya Quiroga, Akira Mano, Yoshihiro Asaoka, Keiko Udo, Shuichi Kure, and Javier Mendoza |
| 08:45–09:00 |
EGU2013-6973
Dynamic Baysesian state-space model with a neural network for an online river flow prediction Jonghwa Ham and Yoon-Seok Hong |
| 09:00–09:15 |
EGU2013-11060
Analyzing and modeling complex weather radar data with data-driven approaches Reinhard Teschl, Franz Teschl, and Walter L. Randeu |
| 09:15–09:30 |
EGU2013-13359
Automatic calibration of hydrological model using fast global optimization algorithm with adaptive objectives Michael Siek and Slavco Velickov |
| 09:30–09:45 |
EGU2013-5685
Integrated surface and groundwater modelling in the Thames Basin, UK using the Open Modelling Interface Jonathan Mackay, Corinna Abesser, Andrew Hughes, Chris Jackson, Andrew Kingdon, Majdi Mansour, Magdalena Pachocka, Lei Wang, and Ann Williams |
| 09:45–10:00 |
EGU2013-6140
| presentation
A discrete perspective on nonlinear dimension reduction Christina Bogner, Baltasar Trancón y Widemann, and Holger Lange |
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COFFEE BREAK
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| 10:30–10:45 |
EGU2013-9022
Combinations of specilaized conceptual and neural network rainfall-runoff models: comparison of performance Nagendra Kayastha and Dimitri Solomatine |
| 10:45–11:00 |
EGU2013-9322
Using Data Warehouses to extract knowledge from Agro-Hydrological simulations Tassadit Bouadi, Chantal Gascuel-Odoux, Marie-Odile Cordier, René Quiniou, and Pierre Moreau |
| 11:00–11:15 |
EGU2013-10476
Data Mining of Hydrological Model Performances Claudia Vitolo and Wouter Buytaert |
| 11:15–11:30 |
EGU2013-11592
The Environmental Virtual Observatory (EVO) local exemplar: A cloud based local landscape learning visualisation tool for communicating flood risk to catchment stakeholders Mark Wilkinson, Keith Beven, Paul Brewer, Yehia El-khatib, Alastair Gemmell, Phil Haygarth, Ellie Mackay, Mark Macklin, Keith Marshall, Paul Quinn, Marc Stutter, Nicola Thomas, and Claudia Vitolo and the Environmental Virtual Observatory pilot Team |
| 11:30–11:45 |
EGU2013-12999
Finding diversity for building one-day ahead Hydrological Ensemble Prediction System based on artificial neural network stacks Darwin Brochero, Francois Anctil, Christian Gagné, and Karol López |
| 11:45–12:00 |
EGU2013-14007
Catchment classification based on characterisation of streamflow and precipitation time-series, Part I: Classification of streamflow signatures Elena Toth |