Lead: Félix Francés (UPV)
Participate: Uni. Twente, Uni. Naples, Uni. Basilicata, Uni. Twente, CAR-HAS, TAU
The aim of this WP is closing water cycle gaps by improving hydrological model implementations using spatial information. This WP will advance how to effectively handle spatio-temporal data when included in model calibration and how to evaluate the accuracy of the simulated spatial patterns.
Figure: TETIS model and parameters, as well as the spatially distributed data used to run the model.
Figure: TETIS model calibration using remote sensing data