4 Art�culos

Uncertainty Estimation in Hydrogeological Forecasting with Neural Networks: Impact of Spatial Distribution of Rainfalls and Random Initialization of the Model

Acceso

en l�nea

Nicolas Akil, Guillaume Artigue, Micha�l Savary, Anne Johannet and Marc Vinches

Neural networks are used to forecast hydrogeological risks, such as droughts and floods. However, uncertainties generated by these models are difficult to assess, possibly leading to a low use of these solutions by water managers. These uncertainties are... ver m�s

Revista: Water Formato: Electr�nico

Tabla de contenido: Vol: 13 Num: 0 Par: 12 A�o: 2021

Improvement of Hydroclimatic Projections over Southeast Spain by Applying a Novel RCM Ensemble Approach

Acceso

en l�nea

Patricia Olmos Gim�nez, Sandra G. Garc�a-Galiano and Juan Diego Giraldo-Osorio

Climate model outputs can be used as climate forcing for hydrological models to study the impact of climate change on the water cycle. This usually propagates cumulative uncertainties, transferring the errors from the climate models to the hydrological m... ver m�s

Revista: Water Formato: Electr�nico

Tabla de contenido: Vol: 10 Num: 0 Par: 1 A�o: 2018

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