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

Model Documentation - C3IAM

Corresponding documentation
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

  1. 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.