Please execute the instructions of the following text boxes in a Terminal or Anaconda Prompt. Chose an installation directory, e.g., the user’s home directory. In the following it will be referred to as $[installation directory].

Install CLIMADA from sources

Download the latest version

cd $[installation directory]

git clone
cd climada_python
git checkout develop
cd ..

Set up the environment

It’s highly recommanded to install CLIMADA into a Conda environment. Without Conda, the installation of the dependencies can be cumbersome. If it is not already installed, download the latest version of Anaconda or Miniconda and execute it.

Open a command prompt (Windows) or shell (Mac, Linux) and run:

conda env create -n climada_env -f climada_python/requirements/env_climada.yml
conda activate climada_env

Install the climada package

Include the CLIMADA path into the Conda environment as follows:

pip install -e climada_python

With this setup, changes to CLIMADA’s source code will immediately take effect. It removes the need to reinstall during development.

Install CLIMADA from PyPi (alternative)

Published releases of CLIMADA (not CLIMADA-petals) can also be installed from the PyPi repository, since version 3.0.

Set up the environment

Download the environment specification file from the git repository and save it locally, then create the conda environment:

curl -o env_climada.yml
conda env create -n climada_env -f env_climada.yml
conda activate climada_env

If this was successful, env_climada.yml can be safely deleted.

Install the climada package

pip install climada

Install CLIMADA-petals (optional)

Download the latest version

cd $[installation directory]

git clone
cd climada_petals
git checkout develop
cd ..

Update the environment

It is possible that CLIMADA-petals has slightly different dependencies than CLIMADA-core, hence the conda environment should be updated.

conda env update -n climada_env -f climada_petals/requirements/env_climada.yml
conda activate climada_env

Install the climada_petals package

Include the CLIMADA-petals path into the Conda environment as follows:

pip install -e climada_petals

In case of a separate environment for CLIMADA-petals, one needs to install the core package as well, either with the package from PyPi (pip install climada) or from local sources (pip install -e climada_python)

Test the installation

Run the following command:

python -m unittest climada.engine.test.test_impact climada.engine.test.test_cost_benefit

If the installation has been successful, an OK will appear at the end (the execution shouldn’t last more than 2 min).

Run tutorials

In the Home section of Anaconda, with climada_env selected, install and launch jupyter notebook. A browser window will show up. Navigate to your climada_python repository and open doc/tutorial/1_main_CLIMADA.ipynb. This is the tutorial which will guide you through all CLIMADA’s functionalities. Execute each code cell to see the results, you might also edit the code cells before executing. See tutorials for more information.

Working with Spyder

It is possible to use climada in combination with the Spyder-IDE. However, depending on OS, CLIMADA version, Spyder version and installation tool, installing spyder into the climada_env environment may fail. In particular, MacOS and conda install spyder don’t work well together. Although there are cases where pip install spyder bears satisfactory results, it is suggested to install spyder in a separate Conda environment and run it with the python interpreter from the climada_env environment instead. To do so, follow these instructions:

  • Start Anaconda, create a new python_env environment (just click create and enter the name, then press Create) and install latest Spyder in there (currently 4.2.5). Start this version of Spyder. After Spyder has started, navigate to Preferences > Python Interpreter > Use the following interpreter and paste the output of the following terminal command into the text box:

conda activate climada_env
python -c "import sys; print(sys.executable)"
# this returns a path, like /Users/XXX/opt/anaconda3/envs/climada_env/bin/python
  • Obtain the version of the package spyder-kernels (currently 1.10.2) that has automatically been installed along with Spyder in the Anaconda environment and install the same version of spyder-kernels in the climada_env environment:

conda activate climada_env
conda install spyder-kernels=1.10.2
  • Start a new IPython console in Spyder and run


  • ModuleNotFoundError

    • the CLIMADA packages are not found. Check whether the climada environment is activated. If not, activate it (conda activate climada_env). Otherwise, the installation has failed. Try and follow the installation instructions above.

    • an external python library is not found. It might happen that the pip dependencies of env_climada.yml (the ones specified after pip:) have not been installed in the environment climada_env. They can be installed manually one by one as follows:

    conda activate climada_env
    pip install library_name
    where library_name is the missing library.
    Another reason may be a recent update of the operating system (macOS). In this case removing and reinstalling Anaconda will be required.
  • Conda permission error
    (operation not permitted) in macOS Mojave: try the solutions suggested here
  • No ‘impf_TC’ column in GeoDataFrame
    This may happen when a demo file from CLIMADA was not updated after the change in the impact function naming pattern from ‘if_’ to ‘impf_’ (climada v2.2.0).
    To solve it, run python -c 'import climada; climada.setup_climada_data(reload=True) in a terminal.
  • How to change the log level
    By default the logging level is set to 'INFO', which is quite verbose. This can be changed
    • through configuration, by editing the config file climada.conf (see Guide_configuration.ipynb) and setting the value of the global.log_level property.

    • programmatically, globally, in a script or interactive python environment (Spyder, Jupyter, IPython) by executing e.g.,

    from climada.util.config import LOGGER
    from logging import WARNING
    • programmatically, context based, using climada.util.log_level:

    from climada.util import log_level
    with log_level(level='WARNING'):