akash-met/Downloading-ERA5-Data-Faster-Using-Parallel-Processing-in-Python

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.

语言：Jupyter Notebook · GitHub 星标：19 · Fork：1

话题：cdspi · climate-change · copernicus · data-download · era5

在 GitHub 上查看原仓库