Posters

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.

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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

Attendance time: Monday, 8 April 2019, 16:15–18:00 | Hall A

Chairperson: Adrian Pedrozo-Acuña
A.103 |
EGU2019-11245
Bruno Majone, Diego Avesani, Andrea Galletti, and Alberto Bellin
A.105 |
EGU2019-9789
Adele Young, Biswa Bhattacharya, Ziyi Wu, Hung-Hsiang Huang, Mohanasundar Radhakrishnan, Chris Zevenbergen, and Mohamed Hasan Khalil
A.106 |
EGU2019-10811
Ziyi Wu, Ping Xie, Biswa Bhattacharya, and Chris Zevenbergen
A.108 |
EGU2019-11286
Dimitri Solomatine, Maurizio Mazzoleni, and Alessandro Amaranto
A.109 |
EGU2019-5932
Andrew Cutler, Jenny Hagen, Patricia Trambauer, Albrecht Weerts, Pablo Suarez, and Dimitri Solomatine
A.110 |
EGU2019-15313
Kedar Ghag, Biswa Bhattacharya, Dimitri Solomatine, Eric Swain, and Nicholas Aumen
A.111 |
EGU2019-10708
Daniel Klotz, Frederik Kratzert, Mathew Herrnegger, Sepp Hochreiter, and Günter Klambauer
A.112 |
EGU2019-9203
Alessandro Amaranto, Dimitri Solomatine, Gerald Corzo, Francesca Pianosi, and Francisco Munoz-Arriola
A.113 |
EGU2019-10274
Ximena Lemaitre, German Santos, Gerald Corzo, and Hector Angarita
A.115 |
EGU2019-14320
Milan Cisty, Veronika Soldanova, and Frantisek Cyprich
A.116 |
EGU2019-17341
Sonja Wanke, Alex Ziemba, and Ghada El Serafy
A.118 |
EGU2019-6704
Ho Jun Keum, Hyun Il Kim, Beom Jin Kim, and Kun Yeun Han
A.119 |
EGU2019-7021
Sheng-Hsueh Yang, Deng-Lin Chang, Sheau-Ling Hsieh, Hui-Jung Wang, Shiang-Jen Wu, Chih-Tsung Hsu, and Keh-Chia Yeh
A.120 |
EGU2019-7315
Lydia Maria Tsiami, Eleni Zacharopoulou, Dionysios Nikolopoulos, Ioannis Tsoukalas, Nikos Mamassis, Andreas Kallioras, and Andreas Efstratiadis
A.123 |
EGU2019-13814
Boran Ekin Aydin, Hugo Hagedooren, and Edo Abraham
A.124 |
EGU2019-9576
José Pinho, António Pereira, and Rolando Faria
A.125 |
EGU2019-17501
Lőrinc Mészáros, Frank van der Meulen, Geurt Jongbloed, and Ghada El Serafy
A.127 |
EGU2019-11385
Evaluation of Z-R relationships for convective and stratiform rain events using disdrometer-based data in Mexico City
(withdrawn)
Roberta Karinne Mocva-Kurek, Ricardo Javier Elizalde-Bernardo, and Adrián Pedrozo-Acuña
A.128 |
EGU2019-18731
Luís Vieira, José Pinho, José Vieira, Gueorgui Smirnov, Ana Gomez, Ana Bio, Jose Alberto Goncalves, Luísa Bastos, Pablo Carracedo, and Juan Taboada