What Did Really Improve Our Mesoscale Hydrological Model? A Multidimensional Analysis Based on Real Observations
Till Francke; Gabriele Baroni; Arlena Brosinsky; Saskia Foerster; José A. López‐Tarazón; Erik Sommerer; Axel Bronstert · 2018 · Water Resources Research
WASTE classifies this as Methods Dead-End · AI classification, approximate
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Abstract (excerpt)
Abstract Modelers can improve a model by addressing the causes for the model errors (data errors and structural errors). This leads to implementing model enhancements (MEs), for example, meteorological data based on more monitoring…
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Metadata source: Crossref · DOI 10.1029/2018wr022813