climateforcing 0.0.1

pypi

Coming soon

development version

I strongly recommend doing this inside a virtual environment, e.g. conda, to keep your base python installation clean.

Clone the repository, cd to climateforcing and run

pip install -e .[dev]

aprp: Approximate Partial Radiative Perturbation

Generates the components of shortwave effective radiative forcing (ERF) from changes in absorption, scattering and cloud amount. For aerosols, this can be used to approximate the ERF from aerosol-radiation interactions (ERFari) and aerosol-cloud interactions (ERFaci). Citations:

• Zelinka, M. D., Andrews, T., Forster, P. M., and Taylor, K. E. (2014), Quantifying components of aerosol‐cloud‐radiation interactions in climate models, J. Geophys. Res. Atmos., 119, 7599– 7615, https://doi.org/10.1002/2014JD021710.

• Taylor, K. E., Crucifix, M., Braconnot, P., Hewitt, C. D., Doutriaux, C., Broccoli, A. J., Mitchell, J. F. B., & Webb, M. J. (2007). Estimating Shortwave Radiative Forcing and Response in Climate Models, Journal of Climate, 20(11), 2530-2543, https://doi.org/10.1175/JCLI4143.1

atmos: general atmospheric physics tools

humidity: Conversions for specific to relative humidity and vice versa.

utci: Universal Climate Thermal Index

Calculates a measure of heat stress based on meteorological data. The code provided is a Python translation of the original FORTRAN, used under kind permission of Peter Bröde. If you use this code please cite:

• Bröde P, Fiala D, Blazejczyk K, Holmér I, Jendritzky G, Kampmann B, Tinz B, Havenith G, 2012. Deriving the operational procedure for the Universal Thermal Climate Index (UTCI). International Journal of Biometeorology 56, 481-494, https://doi.org/10.1007/s00484-011-0454-1