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Posters HS4.2/NH1.11

HS4.2/NH1.11

Predictability, predictive uncertainty estimation and decision-making in hydrologic forecasting (co-organized)
Convener: Albrecht Weerts  | Co-Conveners: Henrik Madsen , Giovanni Battista Chirico , Oldrich Rakovec , Rodolfo Alvarado Montero , Joshua K. Roundy , Hamid Moradkhani , Jan Verkade 
Orals
 / Thu, 27 Apr, 13:30–15:00
Posters
 / Attendance Thu, 27 Apr, 17:30–19:00

Attendance Time: Thursday, 27 April 2017, 17:30–19:00
Hall A
Chairperson: Jan Verkade
A.147
EGU2017-1326
Predictability and uncertainty of the GloFAS forecasts in the Pacific region of Peru
Leonore Boelee, Paul Samuals, Darren Lumbroso, Ervin Zsoter, Elisabeth Stephens, Hannah Cloke, and Juan Baso

A.148
EGU2017-5722
Hydrological data assimilation using Extreme Learning Machines
Marie-Amélie Boucher, John Quilty, and Jan Adamowski

A.149
EGU2017-4298
An Integrated Urban Flood Analysis System in South Korea
Young-Il Moon, Min-Seok Kim, Tae-Hyung Yoon, and Ji-Hyeok Choi

A.150
EGU2017-2470
Decision Making Support System (DMSS) For Water Resources And Flood Mitigation
Mohd Shaiful Ridwan Radzi

A.151
EGU2017-471
The role of atmospheric diagnosis and Big Data science in improving hydroclimatic extreme prediction and the merits of climate informed prediction for future water resources management
Mengqian Lu and Upmanu Lall

A.152
EGU2017-6787
Verification of operational ECMWF-EPS and COSMO-LEPS precipitation forecasts for the Rhine catchment area
Femke Davids, Bart van Osnabrugge, Matthijs den Toom, and Jan Verkade

A.153
EGU2017-7808
Real-time short-term forecast of water inflow into Bureyskaya reservoir
Yury Motovilov

A.154
EGU2017-12662
OpenDA-WFLOW framework for improving hydrologic predictions using distributed hydrologic models
Albrecht Weerts, Jaap Schellekens, Arno Kockx, and Stef Hummel

A.155
EGU2017-12715
Initial soil saturation, lead time and river flow predictability with a distributed hydrologic model assimilating discharge data
Giulia Ercolani and Fabio Castelli

A.156
EGU2017-10922
Error quantification of abnormal extreme high waves in Operational Oceanographic System in Korea
Sang-Hun Jeong, Jinah Kim, Ki-Young Heo, and Kwang-Soon Park

A.157
EGU2017-14744
Improving the realism of hydrologic model through multivariate parameter estimation
Oldrich Rakovec, Rohini Kumar, Sabine Attinger, and Luis Samaniego

A.158
EGU2017-14889
HEPEX Data Assimilation Inter-comparison Experiment
Dirk Schwanenberg, Rodolfo Alvarado Montero, Albrecht Weerts, Marie-Amélie Boucher, and Paolo Reggiani

A.159
EGU2017-15104
Evaluating sources of uncertainty for RAPID streamflow simulations using the JULES and Noah land surface models with cross-spectral analysis: Case study of the Thames basin, United Kingdom
Ahmad A. Tavakoly, Alan D. Snow, Graham P. Weedon, Richard Gilham, Martin Best, Jeanne Roningen, John Eylander, and Russell S. Harmon

A.160 EGU2017-15526
Data set of key hydrological variables at hourly resolution for the development of hydrological models and data assimilation procedures for operational forecasts in the Rhine basin (withdrawn)
Bart van Osnabrugge, Liduin Burgering, Albrecht Weerts, and Remko Uijlenhoet

A.161
EGU2017-15719
A framework for improving a seasonal hydrological forecasting system using sensitivity analysis
Louise Arnal, Florian Pappenberger, Paul Smith, and Hannah Cloke

A.162
EGU2017-16915
Information needed for decision support - not just pure data (Experiences with forecasting in direct contact to decision maker)
Marc Scheibel and Daniel Heinenberg

A.163
EGU2017-19012 | presentation
Comparison of Sequential and Variational Data Assimilation
Rodolfo Alvarado Montero, Dirk Schwanenberg, and Albrecht Weerts

A.164
EGU2017-5432
Multi-criteria decision analysis using hydrological indicators for decision support - a conceptual framework.
Daniel Butchart-Kuhlmann, Sven Kralisch, Markus Meinhardt, and Melanie Fleischer

A.165
EGU2017-13500 | presentation
Reliable estimates of predictive uncertainty for an Alpine catchment using a non-parametric methodology
José P. Matos, Bettina Schaefli, and Anton J. Schleiss

A.166
EGU2017-17226
The impact of land data assimilation on global river discharge predictions
Ervin Zsoter, Hannah Cloke, Paul Smith, Rebecca Emerton, Joaquín Muñoz-Sabater, and Florian Pappenberger