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era5

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Download any data from https://cds.climate.copernicus.eu/datasets faster using parallel processing. Climate Data Store/ Copernicus website/ Climate change service dataset. This article introduces a parallelized Python workflow that allows you to download ERA5 data significantly faster and HPC-compatible.

  • Updated Jan 9, 2026
  • Jupyter Notebook

Lake surface water evaporation modeling using remote-sensed water quality parameters (CHL, CDOM, TSM, temperature) and Bayesian-optimized LSTM/GRU hybrids validated against Penman-FAO.

  • Updated Aug 17, 2026
  • Python

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