STARS4Water (Horizon Europe supported project)

Part of EU Open Research Repository
Published July 10, 2026 | Version v1.0
Dataset Open

ConvLSTM-based Daily Snow Water Equivalent (SWE) Predictions in the Norway

Authors/Creators

  • 1. ROR icon Forschungszentrum Jülich
  • 2. ROR icon Norwegian Water Resources and Energy Directorate

Description

This dataset contains daily Snow Water Equivalent (SWE) predictions generated by a Convolutional Long Short-Term Memory (ConvLSTM) deep learning model  in Norway

The dataset contains netCDF files, comparing the simulated daily SWE derived from ConvLSTM against the SeNorge snow model at a 1km spatial resolution

Files

Files (19.2 GB)

Name Size
md5:a85effef86008fa3bc6b705ac26ff04b
9.6 GB Download
md5:80525ead16fd21d65c708c6ba0f990b8
9.6 GB Download

Additional details

Funding

European Commission
STARS4Water - Supporting STakeholders for Adaptive, Resilient and Sustainable Water Management 101059372

Software

Repository URL
https://datapub.fz-juelich.de/slts/Stars4Water/WP4/ConvLSTM_swe/netcdf/Norway/