Searched for: subject:"process%5C%2Bbased%5C%2Bmodeling"
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de Queiroz, Bruna (author), Scheel, F. (author), Caires, Sofia (author), Walstra, D.J.R. (author), Olij, Derrick (author), Yoo, Jeseon (author), Reniers, A.J.H.M. (author), de Boer, W.P. (author)
In process-based numerical models, reducing the amount of input parameters, known as input reduction (IR), is often required to reduce the computational effort of these models and to enable long-term, ensemble predictions. Currently, a comprehensive performance assessment of IR-methods is lacking, which hampers guidance on selecting suitable...
journal article 2019