Attribution of human-induced dynamical and thermodynamical contributions in extreme weather events
We present a new method that allows a separation of the attribution of human influence in extreme events into changes in atmospheric flows and changes in other processes. Assuming two data sets of model simulations or observations representing a natural, or 'counter-factual' climate, and t...
| Главные авторы: | , , , , , , |
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| Формат: | Journal article |
| Опубликовано: |
IOP Publishing
2016
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| _version_ | 1826259875702767616 |
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| author | Vautard, R You, P Otto, F Stott, P Christidis, N van Oldenborgh, G Schaller, N |
| author_facet | Vautard, R You, P Otto, F Stott, P Christidis, N van Oldenborgh, G Schaller, N |
| author_sort | Vautard, R |
| collection | OXFORD |
| description | We present a new method that allows a separation of the attribution of human influence in extreme events into changes in atmospheric flows and changes in other processes. Assuming two data sets of model simulations or observations representing a natural, or 'counter-factual' climate, and the actual, or 'factual' climate, we show how flow analogs used across data sets can provide quantitative estimates of each contribution to the changes in probabilities of extreme events. We apply this method to the extreme January precipitation amounts in Southern UK such as were observed in the winter of 2013/2014. Using large ensembles of an atmospheric model forced by factual and counterfactual sea surface temperatures, we demonstrate that about a third of the increase in January precipitation amounts can be attributed to changes in weather circulation patterns and two thirds of the increase to thermodynamic changes. This method can be generalized to many classes of events and regions and provides, in the above case study, similar results to those obtained in Schaller et al (2016 Nat. Clim. Change 6 627–34) who used a simple circulation index, describing only a local feature of the circulation, as in other methods using circulation indices (van Ulden and van Oldenborgh 2006 Atmos. Chem. Phys. 6 863–81). |
| first_indexed | 2024-03-06T18:56:43Z |
| format | Journal article |
| id | oxford-uuid:1216b73c-e233-4f20-b532-381f3690750b |
| institution | University of Oxford |
| last_indexed | 2024-03-06T18:56:43Z |
| publishDate | 2016 |
| publisher | IOP Publishing |
| record_format | dspace |
| spelling | oxford-uuid:1216b73c-e233-4f20-b532-381f3690750b2022-03-26T10:05:53ZAttribution of human-induced dynamical and thermodynamical contributions in extreme weather eventsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:1216b73c-e233-4f20-b532-381f3690750bSymplectic Elements at OxfordIOP Publishing2016Vautard, RYou, POtto, FStott, PChristidis, Nvan Oldenborgh, GSchaller, NWe present a new method that allows a separation of the attribution of human influence in extreme events into changes in atmospheric flows and changes in other processes. Assuming two data sets of model simulations or observations representing a natural, or 'counter-factual' climate, and the actual, or 'factual' climate, we show how flow analogs used across data sets can provide quantitative estimates of each contribution to the changes in probabilities of extreme events. We apply this method to the extreme January precipitation amounts in Southern UK such as were observed in the winter of 2013/2014. Using large ensembles of an atmospheric model forced by factual and counterfactual sea surface temperatures, we demonstrate that about a third of the increase in January precipitation amounts can be attributed to changes in weather circulation patterns and two thirds of the increase to thermodynamic changes. This method can be generalized to many classes of events and regions and provides, in the above case study, similar results to those obtained in Schaller et al (2016 Nat. Clim. Change 6 627–34) who used a simple circulation index, describing only a local feature of the circulation, as in other methods using circulation indices (van Ulden and van Oldenborgh 2006 Atmos. Chem. Phys. 6 863–81). |
| spellingShingle | Vautard, R You, P Otto, F Stott, P Christidis, N van Oldenborgh, G Schaller, N Attribution of human-induced dynamical and thermodynamical contributions in extreme weather events |
| title | Attribution of human-induced dynamical and thermodynamical contributions in extreme weather events |
| title_full | Attribution of human-induced dynamical and thermodynamical contributions in extreme weather events |
| title_fullStr | Attribution of human-induced dynamical and thermodynamical contributions in extreme weather events |
| title_full_unstemmed | Attribution of human-induced dynamical and thermodynamical contributions in extreme weather events |
| title_short | Attribution of human-induced dynamical and thermodynamical contributions in extreme weather events |
| title_sort | attribution of human induced dynamical and thermodynamical contributions in extreme weather events |
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