Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
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DOI: 10.5194/hess-28-2107-2024
Abstract: Abstract. Deep learning (DL) algorithms have previously demonstrated their effectiveness in streamflow prediction. However, in hydrological time series modelling, the performance of existing DL methods is often bound by limited spatial information, as these data-driven… read more here.
Keywords: long short; lstm; model; lumped lstm ... See more keywords