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by Thibault Hallouin and Maria-Helena Ramos
As hydrological modellers, we routinely assess the merits of our model predictions using our favourite metrics. Our taste in metrics is largely shared within the community: the likes of the Nash-Sutcliffe Effi…
by Thibault Hallouin and Maria-Helena Ramos As hydrological modellers, we routinely assess the merits of our model predictions using our favourite metrics. Our taste in metrics is largely shared within the community: the likes of the Nash-Sutcliffe Efficiency (NSE) and the Kling-Gupta Efficiency (KGE) are often our go-to’s when dealing with model simulations, whereas the […]