Orals

HS3.1

Hydroinformatics has emerged over the last decade to become a recognised and established field of independent research within the hydrological sciences. Hydroinformatics is concerned with the development and hydrological application of mathematical modelling, information technology, high-performance computing, systems science and computational intelligence tools. It provides the computer-based decision-support systems that are now entering more and more into the offices of consulting engineers, water authorities and government agencies. Tools for capturing data, on both a mega-scale and a milli-scale, are immense and still emerging. As a result we have to face the challenges of Big Data: large data sets, both in size and complexity. Methods and technologies for data handling, visualization and knowledge acquisition are more and more often referred to as Data Science.

The aim of this session is to provide an active forum in which to demonstrate and discuss the integration and appropriate application of emergent computational technologies in a hydrological modelling context. Topics of interest are expected to cover a broad spectrum of theoretical and practical activities that would be of interest to hydro-scientists and water-engineers. The main topics will address the following classes of methods and technologies:

* Predictive and analytical models based on the methods of statistics, computational intelligence and data science: neural networks, fuzzy systems, support vector machines, genetic programming, cellular automata, chaos theory, etc.
* Methods for the analysis of complex data sets, including remote sensing data: principal and independent component analysis, feature extraction, time series analysis, data-infilling, information theory, etc.
* Specific concepts and methods of Big Data and Data Science such as data thinning, data fusion, information integration
* Optimisation methods associated with heuristic search procedures: various types of genetic and evolutionary algorithms, randomised and adaptive search, ant colony, particle swarm optimisation, etc.
* Applications of systems analysis and optimisation in water resources
* Hybrid modelling involving different types of models both process-based and data-driven, combination of models (multi-models), etc.
* Data assimilation and model reduction in integrated modelling
* Novel methods of analysing model uncertainty and sensitivity
* Appropriate software architectures for linking different types of models and data sources
* Opportunities and challenges in using high-performance computing for terrestrial systems modelling.

Applications could belong to any area of hydrology or water resources: rainfall-runoff modelling, flow forecasting, sedimentation modelling, analysis of meteorological and hydrologic data sets, linkages between numerical weather prediction and hydrologic models, model calibration, model uncertainty, optimisation of water resources, etc.

Share:
Convener: Dimitri Solomatine | Co-conveners: Ghada El Serafy, Amin Elshorbagy, Dawei Han, Adrian Pedrozo-Acuña, Wolfgang Kurtz, Jessica Keune
Orals
| Mon, 08 Apr, 08:30–12:30, 14:00–15:45
 
Room C
Posters
| Attendance Mon, 08 Apr, 16:15–18:00
 
Hall A

Monday, 8 April 2019 | Room C

Chairperson: Wolfgang Kurtz
High-performance computing
08:30–08:45 |
EGU2019-13693
Alexander von Ramm, Wolfgang Kurtz, and Jens Weismüller
08:45–09:00 |
EGU2019-16844
Thomas Fischer, Dmitri Naumov, Fabien Magri, Marc Walther, Wenqing Wang, and Olaf Kolditz
09:00–09:15 |
EGU2019-8129
Maren Kaluza, Luis Samaniego, Stephan Thober, Robert Schweppe, Rohini Kumar, and Oldrich Rakovec
09:15–09:30 |
EGU2019-13397
Jarno Verkaik, Edwin Sutanudjaja, Gualbert Oude Essink, Hai Xiang Lin, and Marc Bierkens
09:30–09:45 |
EGU2019-9584
Giacomo Bertoldi, Elisa Bortoli, Alberto Sartori, and Stefano Cozzini
09:45–10:00 |
EGU2019-300
Alice Thomas and Eldho ti
10:00–10:15 |
EGU2019-14271
Inti Pelupessy, Niels Drost, Rolf Hut, Jerome Aerts, Simon Portegies Zwart, Arjen van Elteren, Gijs van den Oord, Ben van Werkhoven, Stefan Verhoeven, and Berend Weel
Coffee break
Chairperson: Dimitri Solomatine
Optimization and data assimilation
10:45–11:00 |
EGU2019-6121
Maria C. Cunha and João Marques Marques
11:00–11:15 |
EGU2019-11690
Shahram Sahraei, Masoud Asadzadeh, and Fisaha Unduche
11:15–11:30 |
EGU2019-9361
Claudia Bertini, Leonardo Alfonso, Elena Ridolfi, Fabio Russo, and Francesco Napolitano
11:30–11:45 |
EGU2019-10923
Epameinontas Sidiropoulos, Konstantinos Vantas, and Chris Evangelides
11:45–12:00 |
EGU2019-13629
Pascal Horton, Rolf Weingartner, and Olivia Martius
12:00–12:15 |
EGU2019-14058
Pierre-André Garambois, Kevin Larnier, Léo Pujol, Pascal Finaud-Guyot, Amanda Montazem, Jérôme Monnier, Adrien Paris, Sylvain Biancamaria, and Stéphane Calmant
12:15–12:30 |
EGU2019-17367
Assimilation of COPERNICUS Satellite Data into High Resolution Coastal Dynamics Modelling: Assessment of Suspended Particulate Matter
(withdrawn)
Alexander Ziemba and Ghada El Serafy
Lunch break
Chairperson: Amin Elshorbagy
Machine learning models, big data and uncertainty
14:15–14:30 |
EGU2019-12670
Francisco Munoz-Arriola, Parisa Sarzaeim, Alessandro Amaranto, Diego Jarquin, and Denise Bradford
14:30–14:45 |
EGU2019-19040
Mahmood Mahmoodian, Ulrich Leopold, and Sukriti Bhattacharya
15:00–15:15 |
EGU2019-18051
Anna Spinosa, Alex Ziemba, Alessandra Saponieri, Victor Navarro-Sanchez, Leonardo Damiani, and Ghada El Serafy
15:15–15:30 |
EGU2019-17212
Carmen Martinez Barbosa, Anne Hommelberg, Martijn Kwant, Matthijs den Toom, and Olav van Duin