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Oral Programme HS3.1

HS3.1

Hydroinformatics: computational intelligence and systems analysis
Convener: R. J. Abrahart 
Co-Conveners: E. Toth , D. Solomatine 
Session details
Oral Programme
 / Fri, 27 Apr, 08:30–12:00  / Room 34
Poster Programme
 / Attendance Fri, 27 Apr, 13:30–15:00  / Hall A
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Friday, 27 Apr 2012
Room 34
Chairperson: Linda See
08:30–08:45
EGU2012-1713
A Diagnostic Assessment of Evolutionary Multiobjective Optimization for Water Resources Systems
P. Reed, D. Hadka, J. Herman, J. Kasprzyk, and J. Kollat
08:45–09:00
EGU2012-5380
Modelling a model?!! Prediction of observed and calculated daily pan evaporation in New Mexico, U.S.A.
D.J. Beriro, R.J. Abrahart, and C.P. Nathanail
09:00–09:15
EGU2012-6447
RoCaSCA: A contour tracing grid-based algorithm to identify similarity regions and clusters in spatial geographical data
P. Hazenberg, P. J. J. F. Torfs, H. Leijnse, and R. Uijlenhoet
09:15–09:30
EGU2012-5826 | Presentation
Automatic identification and placement of measurement stations for hydrological discharge simulations at basin scale
P.R. Grassi, A. Ceppi, F. Cancarè, G. Ravazzani, M. Mancini, and D. Sciuto
09:30–09:45
EGU2012-6562
Hybrid Modelling Approach to Prairie hydrology: Fusing Data-driven and Process-based Hydrological Models
B. Mekonnen, A. Nazemi, A. Elshorbagy, K. Mazurek, and G. Putz
09:45–10:00
EGU2012-6683
Forward Greedy ANN input selection in a stacked framework with Adaboost.RT - A streamflow forecasting case study exploiting radar rainfall estimates
D. Brochero, F. Anctil, and C. Gagné
COFFEE BREAK
Chairperson: Bob Abrahart
10:30–10:45
EGU2012-10560
Uncertainty quantification of rainfall runoff predictions using Gaussian process models
N. Schütze and M. Brettschneider
10:45–11:00
EGU2012-6787 | Presentation
Reformulated Neural Network (ReNN): a New Alternative for Data-driven Modelling in Hydrology and Water Resources Engineering
S. Razavi, B. Tolson, D. Burn, and F. Seglenieks
11:00–11:15
EGU2012-11688
Directly assessing uncertainty in designing the optimal operation of water resources systems by batch mode reinforcement learning
S. Biizzi, A. Castelletti, and F. Pianosi
11:15–11:30
EGU2012-11998
Flood quantile estimation at ungauged sites by Bayesian networks
L. Mediero, D. Santillán, and L. Garrote
11:30–11:45
EGU2012-10329
Higher dimensionality of hydrologic model parameters need not imply higher complexity or prediction uncertainty
L. Arkesteijn and S. Pande
11:45–12:00
EGU2012-6211
Experiments with models committees for flow forecasting
J. Ye, N. Kayastha, S.J. van Andel, F. Fenicia, and D.P. Solomatine