TY - JOUR
T1 - AIRCC-Clim
T2 - A user-friendly tool for generating regional probabilistic climate change scenarios and risk measures
AU - Estrada, Francisco
AU - Calderón-Bustamante, Oscar
AU - Botzen, Wouter
AU - Velasco, Julián A.
AU - Tol, Richard S.J.
N1 - Funding Information:
Francisco Estrada acknowledges financial support from DGAPA- UNAM through the projects PAPIIT IN110718 and IN111221 and from PINCC-UNAM.
Publisher Copyright:
© 2022 The Authors
PY - 2022/11
Y1 - 2022/11
N2 - Complex physical models are the most advanced tools available for producing realistic simulations of the climate system. However, such levels of realism imply high computational cost and restrictions on their use for policymaking and risk assessment. Two central characteristics of climate change are uncertainty and that it is a dynamic problem in which international actions can significantly alter climate projections and information needs, including partial and full compliance of global climate goals. Here we present AIRCC-Clim, a simple climate model emulator that produces regional probabilistic climate change projections of monthly and annual temperature and precipitation, as well as risk measures, based both on standard and user-defined emissions scenarios for six greenhouse gases. AIRCC-Clim emulates 37 atm-ocean coupled general circulation models with low computational and technical requirements for the user. This standalone, user-friendly software is designed for a variety of applications including impact assessments, climate policy evaluation and integrated assessment modelling.
AB - Complex physical models are the most advanced tools available for producing realistic simulations of the climate system. However, such levels of realism imply high computational cost and restrictions on their use for policymaking and risk assessment. Two central characteristics of climate change are uncertainty and that it is a dynamic problem in which international actions can significantly alter climate projections and information needs, including partial and full compliance of global climate goals. Here we present AIRCC-Clim, a simple climate model emulator that produces regional probabilistic climate change projections of monthly and annual temperature and precipitation, as well as risk measures, based both on standard and user-defined emissions scenarios for six greenhouse gases. AIRCC-Clim emulates 37 atm-ocean coupled general circulation models with low computational and technical requirements for the user. This standalone, user-friendly software is designed for a variety of applications including impact assessments, climate policy evaluation and integrated assessment modelling.
KW - Climate change scenarios
KW - Climate model emulator
KW - Impact
KW - Stochastic simulation
KW - Vulnerability and adaptation assessment
UR - http://www.scopus.com/inward/record.url?scp=85138322112&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2022.105528
DO - 10.1016/j.envsoft.2022.105528
M3 - Article
AN - SCOPUS:85138322112
SN - 1364-8152
VL - 157
SP - 1
EP - 15
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 105528
ER -