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    On the Physics of three Integrated Assessment Models

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 006::page 1199
    Author:
    Calel, Raphael
    ,
    Stainforth, David A
    DOI: 10.1175/BAMS-D-16-0034.1
    Publisher: American Meteorological Society
    Abstract: ntegrated assessment models (IAMs) are the main tools for combining physical and economic analyses to develop and assess climate change policy. Policy makers have relied heavily on three IAMs in particular?DICE, FUND, and PAGE?when trying to balance the benefits and costs of climate action. Unpacking the physics of these IAMs accomplishes four things. Firstly, it reveals how the physics of these IAMs differ, and the extent to which those differences give rise to different visions of the human and economic costs of climate change. Secondly, it makes these IAMs more accessible to the scientific community and thereby invites further physical expertise into the IAM community so that economic assessments of climate change can better reflect the latest physical understanding of the climate system. Thirdly, it increases the visibility of the link between the physical sciences and the outcomes of policy assessments so that the scientific community can focus more sharply on those unresolved questions that loom largest in policy assessments. And finally, in making explicit the link between these IAMs and the underlying physical models, one gains the ability to translate between IAMs using a common physical language. This translation-key will allow multi-model policy assessments to run all three models with physically comparable baseline scenarios, enabling the economic sources of uncertainty to be isolated and facilitating a more informed debate about the most appropriate mitigation pathway.
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      On the Physics of three Integrated Assessment Models

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4216005
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    contributor authorCalel, Raphael
    contributor authorStainforth, David A
    date accessioned2017-06-09T16:46:30Z
    date available2017-06-09T16:46:30Z
    date issued2016
    identifier issn0003-0007
    identifier otherams-73846.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4216005
    description abstractntegrated assessment models (IAMs) are the main tools for combining physical and economic analyses to develop and assess climate change policy. Policy makers have relied heavily on three IAMs in particular?DICE, FUND, and PAGE?when trying to balance the benefits and costs of climate action. Unpacking the physics of these IAMs accomplishes four things. Firstly, it reveals how the physics of these IAMs differ, and the extent to which those differences give rise to different visions of the human and economic costs of climate change. Secondly, it makes these IAMs more accessible to the scientific community and thereby invites further physical expertise into the IAM community so that economic assessments of climate change can better reflect the latest physical understanding of the climate system. Thirdly, it increases the visibility of the link between the physical sciences and the outcomes of policy assessments so that the scientific community can focus more sharply on those unresolved questions that loom largest in policy assessments. And finally, in making explicit the link between these IAMs and the underlying physical models, one gains the ability to translate between IAMs using a common physical language. This translation-key will allow multi-model policy assessments to run all three models with physically comparable baseline scenarios, enabling the economic sources of uncertainty to be isolated and facilitating a more informed debate about the most appropriate mitigation pathway.
    publisherAmerican Meteorological Society
    titleOn the Physics of three Integrated Assessment Models
    typeJournal Paper
    journal volume098
    journal issue006
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-16-0034.1
    journal fristpage1199
    journal lastpage1216
    treeBulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 006
    contenttypeFulltext
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