CLIMADA stands for CLIMate ADAptation and is a probabilistic natural catastrophe impact model, that also calculates averted damage (benefit) thanks to adaptation measures of any kind (from grey to green infrastructure, behavioural, etc.).

As of today, CLIMADA provides global coverage of major climate-related extreme-weather hazards at high resolution via a data API, namely (i) tropical cyclones, (ii) river flood, (iii) agro drought and (iv) European winter storms, all at 4km spatial resolution - wildfire to be added soon. For all hazards, historic and probabilistic event sets exist, for some also under select climate forcing scenarios (RCPs) at distinct time horizons (e.g. 2040). See also papers for details.

CLIMADA is divided into two parts (two repositories):

  1. the core climada_python contains all the modules necessary for the probabilistic impact, the averted damage, uncertainty and forecast calculations. Data for hazard, exposures and impact functions can be obtained from the data API. Litpop is included as demo Exposures module, and Tropical cyclones is included as a demo Hazard module.

  2. the petals climada_petals contains all the modules for generating data (e.g., TC_Surge, WildFire, OpenStreeMap, …). Most development is done here. The petals builds-upon the core and does not work as a stand-alone.

It is recommend for new users to begin with the core (1) and the tutorials therein.

This is the Python (3.8+) version of CLIMADA - please see for backward compatibility (MATLAB).

Getting started#

CLIMADA runs on Windows, macOS and Linux. The released versions of CLIMADA are available from conda-forge. Use the Mamba package manager to install it:

mamba install -c conda-forge climada-petals

It is highly recommended to install CLIMADA into a separate Conda environment. See the installation guide for further information.

Follow the tutorial climada_python-x.y.z/doc/tutorial/1_main_climada.ipynb in a Jupyter Notebook to see what can be done with CLIMADA and how.


Documentation is available on Read the Docs:

Note that all the documentations has two versions,’latest’ and ‘stable’, and explicit version numbers, such as ‘v3.1.1’, in the url path. ‘latest’ is created from the ‘develop’ branch and has the latest changes by developers, ‘stable’ from the latest release. For more details about documentation versions, please have a look at here.

CLIMADA python:

CLIMADA petals:

The documentation can also be built locally.


If you use CLIMADA please cite (in general, in particular for academic work) :

The used version

and/or the following published articles:

Aznar-Siguan, G. and Bresch, D. N., 2019: CLIMADA v1: a global weather and climate risk assessment platform, Geosci. Model Dev., 12, 3085–3097,

Bresch, D. N. and Aznar-Siguan, G., 2021: CLIMADA v1.4.1: towards a globally consistent adaptation options appraisal tool, Geosci. Model Dev., 14, 351-363,

Please see all CLIMADA-related scientific publications in our repository of scientific publications and cite according to your use of select features, be it hazard set(s), exposure(s) …

In presentations or other graphical material, as well as in reports etc., where applicable, please add the logo as follows:

As key link, please use, as it will last and provides a bit of an intro, especially for those not familiar with GitHub - plus a nice CLIMADA infographic towards the bottom of the page


See the Contribution Guide.


We use SemVer for versioning. For the versions available, see the releases on this repository.


Copyright (C) 2017 ETH Zurich, CLIMADA contributors listed in AUTHORS.

CLIMADA is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License Version 3, 29 June 2007 as published by the Free Software Foundation,

CLIMADA 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: