Climate - C3IAM: Difference between revisions
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C<sup>3</sup>IAM includes an internal climate module -- C<sup>3</sup>IAM/Climate, which translates the regional emissions into global temperature and radiative forcing through atmospheric concentrations. Alternatively, C<sup>3</sup>IAM allows a soft link with the MAGICC6 climate model for reporting a number of climate outcomes based on this widely used model. Besides, C<sup>3</sup>IAM includes the Climate Change Loss Model (C<sup>3</sup>IAM/Loss), which can assess the impacts of temperature/sea level/extreme events <ref>Xiao-Chen Yuan, Nan Zhang, Wei-Zheng Wang, Yi-Ming Wei, 2021. Large-scale emulation of spatio-temporal variation in temperature under climate change. ''Environmental Research Letters'' 16, 014041.</ref>. | C<sup>3</sup>IAM includes an internal climate module -- C<sup>3</sup>IAM/Climate, which translates the regional emissions into global temperature and radiative forcing through atmospheric concentrations. Alternatively, C<sup>3</sup>IAM allows a soft link with the MAGICC6 climate model for reporting a number of climate outcomes based on this widely used model. Besides, C<sup>3</sup>IAM includes the Climate Change Loss Model (C<sup>3</sup>IAM/Loss), which can assess the impacts of temperature/sea level/extreme events <ref>Xiao-Chen Yuan, Nan Zhang, Wei-Zheng Wang, Yi-Ming Wei, 2021. Large-scale emulation of spatio-temporal variation in temperature under climate change. ''Environmental Research Letters'' 16, 014041.</ref>. | ||
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=== References === | === References === |
Latest revision as of 13:09, 5 August 2021
Corresponding documentation | |
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Previous versions | |
Model information | |
Model link | |
Institution | Center for Energy and Environmental Policy Research, Beijing Institute of Technology (CEEP-BIT), China, http://ceep.bit.edu.cn/english/. |
Solution concept | General equilibrium (closed economy) |
Solution method | Optimization |
Anticipation |
C3IAM includes an internal climate module -- C3IAM/Climate, which translates the regional emissions into global temperature and radiative forcing through atmospheric concentrations. Alternatively, C3IAM allows a soft link with the MAGICC6 climate model for reporting a number of climate outcomes based on this widely used model. Besides, C3IAM includes the Climate Change Loss Model (C3IAM/Loss), which can assess the impacts of temperature/sea level/extreme events [1].
References
- ↑ Xiao-Chen Yuan, Nan Zhang, Wei-Zheng Wang, Yi-Ming Wei, 2021. Large-scale emulation of spatio-temporal variation in temperature under climate change. Environmental Research Letters 16, 014041.