Using causal effect networks to analyze different Arctic drivers of mid-latitude winter circulation

In recent years, the Northern Hemisphere midlatitudes have suffered from severe winters like the extreme 2012/13 winter in the eastern United States. These cold spells were linked to a meandering upper-tropospheric jet stream pattern and a negative Arctic Oscillation index (AO). However, the nature...

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Published in:Journal of Climate
Main Authors: Kretschmer, M., Coumou, D., Donges, J., Runge, J.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2016
Subjects:
Online Access:https://publications.pik-potsdam.de/pubman/item/item_20849
https://publications.pik-potsdam.de/pubman/item/item_20849_1/component/file_20850/7157oa.pdf
https://publications.pik-potsdam.de/pubman/item/item_20849_3/component/file_24360/jcli-d-15-0654_1.pdf
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spelling ftpotsdamik:oai:publications.pik-potsdam.de:item_20849 2023-10-29T02:33:52+01:00 Using causal effect networks to analyze different Arctic drivers of mid-latitude winter circulation Kretschmer, M. Coumou, D. Donges, J. Runge, J. 2016 application/pdf https://publications.pik-potsdam.de/pubman/item/item_20849 https://publications.pik-potsdam.de/pubman/item/item_20849_1/component/file_20850/7157oa.pdf https://publications.pik-potsdam.de/pubman/item/item_20849_3/component/file_24360/jcli-d-15-0654_1.pdf unknown info:eu-repo/semantics/altIdentifier/doi/10.1175/JCLI-D-15-0654.1 https://publications.pik-potsdam.de/pubman/item/item_20849 https://publications.pik-potsdam.de/pubman/item/item_20849_1/component/file_20850/7157oa.pdf https://publications.pik-potsdam.de/pubman/item/item_20849_3/component/file_24360/jcli-d-15-0654_1.pdf info:eu-repo/semantics/openAccess Journal of Climate info:eu-repo/semantics/article 2016 ftpotsdamik https://doi.org/10.1175/JCLI-D-15-0654.1 2023-09-30T18:00:06Z In recent years, the Northern Hemisphere midlatitudes have suffered from severe winters like the extreme 2012/13 winter in the eastern United States. These cold spells were linked to a meandering upper-tropospheric jet stream pattern and a negative Arctic Oscillation index (AO). However, the nature of the drivers behind these circulation patterns remains controversial. Various studies have proposed different mechanisms related to changes in the Arctic, most of them related to a reduction in sea ice concentrations or increasing Eurasian snow cover. Here, a novel type of time series analysis, called causal effect networks (CEN), based on graphical models is introduced to assess causal relationships and their time delays between different processes. The effect of different Arctic actors on winter circulation on weekly to monthly time scales is studied, and robust network patterns are found. Barents and Kara sea ice concentrations are detected to be important external drivers of the midlatitude circulation, influencing winter AO via tropospheric mechanisms and through processes involving the stratosphere. Eurasia snow cover is also detected to have a causal effect on sea level pressure in Asia, but its exact role on AO remains unclear. The CEN approach presented in this study overcomes some difficulties in interpreting correlation analyses, complements model experiments for testing hypotheses involving teleconnections, and can be used to assess their validity. The findings confirm that sea ice concentrations in autumn in the Barents and Kara Seas are an important driver of winter circulation in the midlatitudes. Article in Journal/Newspaper Arctic Kara Sea Sea ice Publication Database PIK (Potsdam Institute for Climate Impact Research) Journal of Climate 29 11 4069 4081
institution Open Polar
collection Publication Database PIK (Potsdam Institute for Climate Impact Research)
op_collection_id ftpotsdamik
language unknown
description In recent years, the Northern Hemisphere midlatitudes have suffered from severe winters like the extreme 2012/13 winter in the eastern United States. These cold spells were linked to a meandering upper-tropospheric jet stream pattern and a negative Arctic Oscillation index (AO). However, the nature of the drivers behind these circulation patterns remains controversial. Various studies have proposed different mechanisms related to changes in the Arctic, most of them related to a reduction in sea ice concentrations or increasing Eurasian snow cover. Here, a novel type of time series analysis, called causal effect networks (CEN), based on graphical models is introduced to assess causal relationships and their time delays between different processes. The effect of different Arctic actors on winter circulation on weekly to monthly time scales is studied, and robust network patterns are found. Barents and Kara sea ice concentrations are detected to be important external drivers of the midlatitude circulation, influencing winter AO via tropospheric mechanisms and through processes involving the stratosphere. Eurasia snow cover is also detected to have a causal effect on sea level pressure in Asia, but its exact role on AO remains unclear. The CEN approach presented in this study overcomes some difficulties in interpreting correlation analyses, complements model experiments for testing hypotheses involving teleconnections, and can be used to assess their validity. The findings confirm that sea ice concentrations in autumn in the Barents and Kara Seas are an important driver of winter circulation in the midlatitudes.
format Article in Journal/Newspaper
author Kretschmer, M.
Coumou, D.
Donges, J.
Runge, J.
spellingShingle Kretschmer, M.
Coumou, D.
Donges, J.
Runge, J.
Using causal effect networks to analyze different Arctic drivers of mid-latitude winter circulation
author_facet Kretschmer, M.
Coumou, D.
Donges, J.
Runge, J.
author_sort Kretschmer, M.
title Using causal effect networks to analyze different Arctic drivers of mid-latitude winter circulation
title_short Using causal effect networks to analyze different Arctic drivers of mid-latitude winter circulation
title_full Using causal effect networks to analyze different Arctic drivers of mid-latitude winter circulation
title_fullStr Using causal effect networks to analyze different Arctic drivers of mid-latitude winter circulation
title_full_unstemmed Using causal effect networks to analyze different Arctic drivers of mid-latitude winter circulation
title_sort using causal effect networks to analyze different arctic drivers of mid-latitude winter circulation
publishDate 2016
url https://publications.pik-potsdam.de/pubman/item/item_20849
https://publications.pik-potsdam.de/pubman/item/item_20849_1/component/file_20850/7157oa.pdf
https://publications.pik-potsdam.de/pubman/item/item_20849_3/component/file_24360/jcli-d-15-0654_1.pdf
genre Arctic
Kara Sea
Sea ice
genre_facet Arctic
Kara Sea
Sea ice
op_source Journal of Climate
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1175/JCLI-D-15-0654.1
https://publications.pik-potsdam.de/pubman/item/item_20849
https://publications.pik-potsdam.de/pubman/item/item_20849_1/component/file_20850/7157oa.pdf
https://publications.pik-potsdam.de/pubman/item/item_20849_3/component/file_24360/jcli-d-15-0654_1.pdf
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1175/JCLI-D-15-0654.1
container_title Journal of Climate
container_volume 29
container_issue 11
container_start_page 4069
op_container_end_page 4081
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