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Arno Formella  - - - 
Top co-authors
Moncho Gomez-Gesteira

129 shared publications

Environmental Physics Laboratory (EPHYSLAB), Universidad de Vigo, Campus As Lagoas s/n, 32004 Ourense, Spain

Luis Cea

42 shared publications

Department of Civil Engineering, Universidade da Coruña Environmental and Water Engineering Group, 15001 A Coruña, Spain

J.M. Domínguez

30 shared publications

EPHYSLAB Environmental Physics Laboratory, Universidade de Vigo, AS LAGOAS, 32004 Ourense, Spain

J. González-Cao

12 shared publications

Environmental Physics Laboratory (EPHYSLAB), Universidad de Vigo, Campus As Lagoas s/n, 32004 Ourense, Spain

Orlando García-Feal

3 shared publications

Environmental Physics Laboratory (EPHYSLAB), Universidad de Vigo, Campus As Lagoas s/n, 32004 Ourense, Spain

Publication Record
Distribution of Articles published per year 

Total number of journals
published in
Article 0 Reads 2 Citations An Accelerated Tool for Flood Modelling Based on Iber Orlando García-Feal, José González-Cao, Moncho Gómez-Gesteir... Published: 16 October 2018
Water, doi: 10.3390/w10101459
DOI See at publisher website ABS Show/hide abstract
This paper presents Iber+, a new parallel code based on the numerical model Iber for two-dimensional (2D) flood inundation modelling. The new implementation, which is coded in C++ and takes advantage of the parallelization functionalities both on CPUs (central processing units) and GPUs (graphics processing units), was validated using different benchmark cases and compared, in terms of numerical output and computational efficiency, with other well-known hydraulic software packages. Depending on the complexity of the specific test case, the new parallel implementation can achieve speedups up to two orders of magnitude when compared with the standard version. The speedup is especially remarkable for the GPU parallelization that uses Nvidia CUDA (compute unified device architecture). The efficiency is as good as the one provided by some of the most popular hydraulic models. We also present the application of Iber+ to model an extreme flash flood that took place in the Spanish Pyrenees in October 2012. The new implementation was used to simulate 24 h of real time in roughly eight minutes of computing time, while the standard version needed more than 15 h. This huge improvement in computational efficiency opens up the possibility of using the code for real-time forecasting of flood events in early-warning systems, in order to help decision making under hazardous events that need a fast intervention to deploy countermeasures.
PROCEEDINGS-ARTICLE 25 Reads 0 Citations Iber as a tool to analyse flooding scenarios Orlando García-Feal, José Gonzalez-Cao, Luis Cea, Arno Forme... Published: 06 November 2017
Proceedings of First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/chycle-2017-04841
DOI See at publisher website ABS Show/hide abstract
Floods are one of the most dangerous extreme events that can affect people and properties. These events have intensified worldwide over the last decades due to climate change. Therefore, the capability to predict and analyse, in a quick and accurate way, the effects of these floods is of crucial importance to avoid or minimize the hazards associated to them. This task can be accomplished by means of numerical tools as Iber. Iber is a 2-D numerical model, developed by GEAMA (Universidade da Coruña) and Flumen (Universitat Politècnica de Catalunya), that uses the finite volume technique to solve the 2-D Shallow Water Equations in order to obtain the water depth and velocity components of the flow under different scenarios. To assess the capabilities of Iber a series of test cases have been reproduced following the document “Benchmarking the latest generation of 2D hydraulic modelling packages” published by the non-departmental public body Environment Agency of the U.K. Government. The results show that Iber is a suitable tool to reproduce accurately different flooding scenarios. A new implementation of the model has been developed by EPHYSLAB. This implementation takes advantage of the modern hardware capabilities and provides significant speedups over the original code. The new possibilities offered by a faster code will be studied.