thermofeel 1.2.0

PyPi

Install with:

$ pip install thermofeel

Testing

System dependencies

thermofeel core functions depend on:

• numpy

Optionally, thermofeel depends on:

• pytest - for unit testing

• numba - automatically detect and use Numba JIT to accelerate function execution

Contributing

The main repository is hosted on GitHub, testing, bug reports and contributions are highly welcomed and appreciated:

https://github.com/ecmwf-projects/thermofeel

Please see the Contributing document for the best way to help.

Main contributors:

• Chloe Brimicombe - ECMWF

• Tiago Quintino - ECMWF

See also the contributors for a more complete list.

License

Copyright 2021 European Centre for Medium-Range Weather Forecasts (ECMWF)

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

In applying this licence, ECMWF does not waive the privileges and immunities granted to it by virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction.

Citing

To cite thermofeel the code currently please use: Brimicombe C,Di Napoli C, Quintino T,Pappenberger F, Cornforth R and Cloke H,2021 thermofeel: a python thermal comfort indices library https://doi.org/10.21957/mp6v-fd16

For referring to the latest release of thermofeel please use this DOI: https://doi.org/10.21957/mp6v-fd16

Acknowledgements

Past and current funding and support for thermofeel is listed in the adjoning Acknowledgements