Introduction to the Special Issue on Climate Adaptation: Improving the connection between empirical research and integrated assessment models. Fisher-Vanden, K., Popp, D., & Wing, I. S. Energy Economics, 46:495–499, November, 2014. ![Introduction to the Special Issue on Climate Adaptation: Improving the connection between empirical research and integrated assessment models [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Integrated assessment models (IAMs), models that couple the human and natural systems, have been widely used by the climate change research community to project the emissions consequences of economic activity and the technical potential and cost of mitigation options; to perform cost-benefit analysis (CBA) to determine the optimal future path of GHG emissions and mitigation costs; and to assess the magnitude and incidence of climate impacts and associated economic cost of climate damages. DICE (Nordhaus, 1994), the first fully coupled IAM to account for the feedbacks of climate change on the economy, introduced the device of a climate damage function which was global in scope but with a highly simplified and aggregated treatment of either the meteorological drivers of impacts (global mean temperature change) or their physical manifestations across different endpoints, economic sectors and geographic regions. In the intervening two decades a succession of IAMs has followed this lead, incorporating climate feedbacks with limited complexity—or more commonly disregarding them altogether, even as computational advances have made possible increasingly detailed representations of the economic activity to which climate change poses risks. As a consequence there has been slow progress in modeling climate adaptation responses, and, to the best of our knowledge, no study has accounted for the implications of impacts and adaptation for the climate stabilization strategies.
@article{fisher-vanden_introduction_2014,
title = {Introduction to the {Special} {Issue} on {Climate} {Adaptation}: {Improving} the connection between empirical research and integrated assessment models},
volume = {46},
issn = {01409883},
shorttitle = {Introduction to the {Special} {Issue} on {Climate} {Adaptation}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S014098831400293X},
doi = {10.1016/j.eneco.2014.11.010},
abstract = {Integrated assessment models (IAMs), models that couple the human and natural systems, have been widely used by the climate change research community to project the emissions consequences of economic activity and the technical potential and cost of mitigation options; to perform cost-benefit analysis (CBA) to determine the optimal future path of GHG emissions and mitigation costs; and to assess the magnitude and incidence of climate impacts and associated economic cost of climate damages. DICE (Nordhaus, 1994), the first fully coupled IAM to account for the feedbacks of climate change on the economy, introduced the device of a climate damage function which was global in scope but with a highly simplified and aggregated treatment of either the meteorological drivers of impacts (global mean temperature change) or their physical manifestations across different endpoints, economic sectors and geographic regions. In the intervening two decades a succession of IAMs has followed this lead, incorporating climate feedbacks with limited complexity—or more commonly disregarding them altogether, even as computational advances have made possible increasingly detailed representations of the economic activity to which climate change poses risks. As a consequence there has been slow progress in modeling climate adaptation responses, and, to the best of our knowledge, no study has accounted for the implications of impacts and adaptation for the climate stabilization strategies.},
language = {en},
urldate = {2017-07-11},
journal = {Energy Economics},
author = {Fisher-Vanden, Karen and Popp, David and Wing, Ian Sue},
month = nov,
year = {2014},
keywords = {DR, Untagged},
pages = {495--499},
}
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