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  Improving on Complexity: Ideas for Enhancing Quantitative Modeling of Climate Mobility

Michelini, S., Petrova, K., Gong, C. C., Zantout, K. (2024): Improving on Complexity: Ideas for Enhancing Quantitative Modeling of Climate Mobility. - Annalen der Physik, 536, 7, 2300545.
https://doi.org/10.1002/andp.202300545

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 ???ViewItemFull_lblCreators???:
Michelini, Sidney1, ???ENUM_CREATORROLE_AUTHOR???           
Petrova, Kristina1, ???ENUM_CREATORROLE_AUTHOR???                 
Gong, Chen Chris1, ???ENUM_CREATORROLE_AUTHOR???                 
Zantout, Karim1, ???ENUM_CREATORROLE_AUTHOR???                 
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1Potsdam Institute for Climate Impact Research, ou_persistent13              

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 ???ViewItemFull_lblAbstract???: Quantitative climate mobility research has, so far, focused primarily on climate change impacts on migration outcomes. This focus has led to a separation between quantitative climate migration research and the broader field of migration studies. In this paper ways are proposed for quantitative research to better address the complexity in the relationship between climate change and mobility. First technical suggestions are presented to improve upon migration model setups and designs and highlight promising developments. Then it is argued that quantitative methodologies can broaden the scope of research inquiries by examining how climate mitigation and adaptation efforts influence mobility, as well as assessing how mobility itself impacts vulnerability.

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???ViewItemFull_lblLanguages???: eng - English
 ???ViewItemFull_lblDates???: 2023-12-302024-05-302024-05-302024-07-01
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???project_info_funding_info_program_title??? : Horizon 2020 (H2020)
???project_info_funding_info_organization_title??? : European Commission (EC)
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???ViewItemFull_lblSourceTitle???: Annalen der Physik
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