Articles | Volume 20, issue 12
https://doi.org/10.5194/nhess-20-3261-2020
https://doi.org/10.5194/nhess-20-3261-2020
Research article
 | 
03 Dec 2020
Research article |  | 03 Dec 2020

Forecasting flood hazards in real time: a surrogate model for hydrometeorological events in an Andean watershed

María Teresa Contreras, Jorge Gironás, and Cristián Escauriaza

Data sets

DACE - A Matlab Kriging toolbox, version 2.0 S. N. Lophaven, H. B. Nielsen, and J. Søndergaard http://www.omicron.dk/dace.html

Short summary
The prediction of multiple scenarios of flood hazard in mountain regions is typically based on expensive high-resolution models that simulate the flood propagation using significant computational resources. In this investigation we develop a surrogate model that provides a rapid evaluation of the flood hazard using a statistical approach and precomputed scenarios. This surrogate model is an advanced tool that can be used for early warning systems and to help decision makers and city planners.
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