Snow water equivalent forecasting in sub-arctic and arctic regions: Efficient recurrent neural networks approach

Miika Malin, Jarkko Okkonen, Jaakko Suutala

Abstract: Highlights•Recurrent neural networks show strong potential in snow water equivalent forecasting.•We compare long short term memory and gated recurrent units, detailing their design.•We propose two efficient gated recurrent unit models with state-of-the-art accuracy.

External IDs:dblp:journals/envsoft/MalinOS25