AIRCC-Clim

Assessment of Impacts and Risks of Climate Change

Probabilistic Climate Model Emulator

AIRCC-CLIM produces monthly and annual probabilistic climate change scenarios and risk measures by means of emulating all of the GCMs included in the CMIP5.  It includes the Schneider-Thompson (SC) climate model used in some Integrated Assessment Models and pre-calculated runs from two reduced complexity climate models: MAGICC (Meinshausen, Raper and Wigley, 2011)  and TCM (Adem, 1991). 

All model options include RCP scenarios (RCP8.5, RCP6, RCP4.5 and RCP2.6) and the SC option allows for user-defined emissions scenarios that can be edited using a graphical interface. For a technical document and a brief user guide click here.

This software can be used by non-profit academic purposes without any royalty except that the users must cite :

Francisco Estrada, Oscar Calderón-Bustamante, Wouter Botzen, Julián A. Velasco, Richard S.J. Tol, AIRCC-Clim: A user-friendly tool for generating regional probabilistic climate change scenarios and risk measures, Environmental Modelling & Software, Volume 157, 2022,

105528, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2022.105528

for any other commercial use and/or comments, please contact Francisco Estrada at feporrua at atmosfera.unam.mx. 

Acknowledgements: this software was produced  under the grants PAPIIT IN110718 and IN111221 from DGAPA-UNAM and also support from PINCC-UNAM.


The software is provided free of charge, and, therefore, on an "as is" basis, without warranty of any kind, explicitly or implicitly, including without limitation the warranties that it is free of defects, virus free, able to operate on an uninterrupted basis, fit for a particular purpose or non-interfering. Copyright, Estrada F, Botzen WJW and Calderón-Bustamante O (2020).
Last update: March, 2023. This website and its content is created in collaboration between the Center for Atmospheric Sciences, UNAM and the Institute of Environmental Studies, VU University Amsterdam