Computational Hydrology: A case for multiple modelling hypotheses frameworks to increase model reproducibility and quantify structural uncertainty

 

Terça-feira, 2 de Maio14:30Anfiteatro 1

Seminário I Física da Atmosfera e do Clima do programa de Doutoramento em Ciências da Terra e do Espaço

 

Diogo Costa, Docente, Departamento de Geociências, Universidade de Évora

 

Resumo: Europe and the world need to predict water futures to ensure water security. Presently, there is inadequate scientific knowledge, monitoring, and modelling technologies to accurately predict water and water quality-related events to help manage climate change and water security risks in Portugal and Europe. Our goal is to help address these challenges by expanding nextGen hydrological model development efforts to include models of the terrestrial component of biogeochemical cycles through flexible hypotheses-testing modelling approaches. In this presentation, I will share some of the progress made in Canada and the US in this area, which we are trying to extend to Portugal and Europe.