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.
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