Publicacións

@article{garcia-alen_iber-pest_2024,

title = {Iber-PEST: Automatic calibration in fully distributed hydrological models based on the 2D shallow water equations},

author = {Gonzalo García-Alén-Lores and Carlos I. Montalvo-Montenegro and Luis Cea-Gómez and Jerónimo Puertas-Agudo},

url = {https://www.sciencedirect.com/science/article/pii/S1364815224001087},

doi = {10.1016/j.envsoft.2024.106047},

issn = {1364-8152},

year  = {2024},

date = {2024-06-01},

urldate = {2026-04-20},

journal = {Environmental Modelling & Software},

volume = {177},

pages = {106047},

abstract = {Calibrating physically based hydrological models manually is time-consuming and challenging. Automatic calibration tools have become prevalent in these models; however, its effective use requires not only a deep knowledge of the calibration procedure itself, but also understanding the structure of the model input and output files. In this study, we introduce Iber-PEST, a novel framework combining the parameter estimation and uncertainty analysis package, PEST, with Iber, a 2D model based on the shallow water equations. We demonstrate its capabilities by successfully calibrating eight storm events in northwestern Spain's basins, achieving promising results (mean NSE equal to 0.84). Furthermore, by applying the iterative ensemble smoother included in PEST, we demonstrate the feasibility to use the calibration data generated by Iber-PEST with alternative PEST algorithms not directly integrated in the Iber-PEST framework. This work successfully addresses the significant implementation barrier associated with the automatic calibration of Iber hydrological models with PEST.},

keywords = {2D-SWE, Automatic calibration, Data assimilation, Hydrological modelling, Iber+, PEST++},

pubstate = {published},

tppubtype = {article}

}

@article{garcia-feal_accelerated_2018,

title = {An Accelerated Tool for Flood Modelling Based on Iber},

author = {Orlando García-Feal and José González-Cao and Moncho Gómez-Gesteira and Luis Cea-Gómez and José Manuel Domínguez and Arno Formella},

url = {https://www.mdpi.com/2073-4441/10/10/1459},

doi = {10.3390/w10101459},

issn = {2073-4441},

year  = {2018},

date = {2018-10-01},

urldate = {2026-08-04},

journal = {Water},

volume = {10},

number = {10},

pages = {1459},

publisher = {Multidisciplinary Digital Publishing Institute},

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.},

keywords = {Benchmark, CUDA, Finite volume, flood, Iber+, numerical simulation, OpenMP, shallow water equations},

pubstate = {published},

tppubtype = {article}

}