Gao Xiang

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Gao
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Xiang
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  • Article
    Description and evaluation of the MIT Earth System Model (MESM)
    (John Wiley & Sons, 2018-08-15) Sokolov, Andrei P. ; Kicklighter, David W. ; Schlosser, C. Adam ; Wang, Chien ; Monier, Erwan ; Brown-Steiner, Benjamin ; Prinn, Ronald G. ; Forest, Chris E. ; Gao, Xiang ; Libardoni, Alex ; Eastham, Sebastian
    The Massachusetts Institute of Technology Integrated Global System Model (IGSM) is designed for analyzing the global environmental changes that may result from anthropogenic causes, quantifying the uncertainties associated with the projected changes, and assessing the costs and environmental effectiveness of proposed policies to mitigate climate risk. The IGSM consists of the Massachusetts Institute of Technology Earth System Model (MESM) of intermediate complexity and the Economic Projections and Policy Analysis model. This paper documents the current version of the MESM, which includes a two‐dimensional (zonally averaged) atmospheric model with interactive chemistry coupled to the zonally averaged version of Global Land System model and an anomaly‐diffusing ocean model.
  • Article
    Toward a consistent modeling framework to assess multi-sectoral climate impacts
    (Nature Publishing Group, 2018-02-13) Monier, Erwan ; Paltsev, Sergey ; Sokolov, Andrei P. ; Chen, Y.-H. Henry ; Gao, Xiang ; Ejaz, Qudsia ; Couzo, Evan ; Schlosser, C. Adam ; Dutkiewicz, Stephanie ; Fant, Charles ; Scott, Jeffery ; Kicklighter, David W. ; Morris, Jennifer ; Jacoby, Henry D. ; Prinn, Ronald G. ; Haigh, Martin
    Efforts to estimate the physical and economic impacts of future climate change face substantial challenges. To enrich the currently popular approaches to impact analysis—which involve evaluation of a damage function or multi-model comparisons based on a limited number of standardized scenarios—we propose integrating a geospatially resolved physical representation of impacts into a coupled human-Earth system modeling framework. Large internationally coordinated exercises cannot easily respond to new policy targets and the implementation of standard scenarios across models, institutions and research communities can yield inconsistent estimates. Here, we argue for a shift toward the use of a self-consistent integrated modeling framework to assess climate impacts, and discuss ways the integrated assessment modeling community can move in this direction. We then demonstrate the capabilities of such a modeling framework by conducting a multi-sectoral assessment of climate impacts under a range of consistent and integrated economic and climate scenarios that are responsive to new policies and business expectations.