A likelihood framework for deterministic hydrological models and the importance of non-stationary autocorrelation
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DOI: 10.5194/hess-23-2147-2019
Abstract: Abstract. The widespread application of deterministic hydrological models in research and practice calls for suitable methods to describe their uncertainty. The errors of those models are often heteroscedastic, non-Gaussian and correlated due to the memory… read more here.
Keywords: error models; non stationary; hydrological models; deterministic hydrological ... See more keywords