CDSupdate is a Python package that automates the process of retrieving, processing, and managing climate data from the Climate Data Store (CDS) API. The tool generates daily climate data summaries, performs calculations to create custom variables such as relative humidity and heat index which serve as risk assessments, and organizes the data into a user-friendly format.

CDSupdate requires the following packages:

• numpy
• pandas
• xarray
• netCDF4
• cftime
• cdsapi
• windows-curses (only for Microsoft Windows users)

From pip:

pip3 install CDSupdate

Or from source:

git clone https://github.com/yrobink/CDSupdate.git
cd CDSupdaye
pip3 install .

This adds the CDSupdate package in your python installation, and the command cdsupdate.

Start by read the documentation with:

cdsupdate --help

As example, to download the daily mean temperature over the North Atlantic (80W-50E,5N,72N) between 2019-11-09 and 2022-01-17 in the directory odir, just run:

cdsupdate --log info test.log --period 2019-11-09/2022-01-17 --cvar tas --area NorthAtlantic --odir odir

You can use this DOI:10.5281/zenodo.7991331

Copyright(c) 2022 / 2024 Yoann Robin, Andreia Hisi

This file is part of CDSupdate.

CDSupdate is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

CDSupdate is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with CDSupdate. If not, see https://www.gnu.org/licenses/.