High eurasion snow and low Arctic ice (Whole Atmosphere Community Climate Model (WACCM) perturbation), 1979-2013
It is well established that model simulations of Arctic sea ice loss can force a significant circulation response. A growing body of work shows the atmospheric response is sensitive to the location of the sea ice anomalies, with the Barents-Kara Seas (BKS) implicated as a partiuclarly important forc...
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Arctic Data Center
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dataone:urn:uuid:01fea991-bcdf-4922-935e-e195661c92ae 2024-06-03T18:46:31+00:00 High eurasion snow and low Arctic ice (Whole Atmosphere Community Climate Model (WACCM) perturbation), 1979-2013 Judah Cohen David Whittleston Standard CAM 1.9°x2.5° degree horizontal resolution, 66 vertical levels ENVELOPE(-180.0,180.0,90.0,-90.0) BEGINDATE: 1979-01-01T00:00:00Z ENDDATE: 2013-01-01T00:00:00Z 2019-01-01T00:00:00Z https://search.dataone.org/view/urn:uuid:01fea991-bcdf-4922-935e-e195661c92ae unknown Arctic Data Center Dataset 2019 dataone:urn:node:ARCTIC 2024-06-03T18:11:51Z It is well established that model simulations of Arctic sea ice loss can force a significant circulation response. A growing body of work shows the atmospheric response is sensitive to the location of the sea ice anomalies, with the Barents-Kara Seas (BKS) implicated as a partiuclarly important forcing region. Mechanistically, sea ice loss corresponds to warm temperature anomalies, altered surface potential vorticity gradients, and therefore changes in rossby wave dynamics. This Rossby wave forcing is hypothesized to impact midlatitude surface weather either directly by changing synoptic weather patterns or indirectly via propagation into the stratosphere and subsequent downward control. While fall sea ice is declining, fall Siberian snow cover has increased. Variability in fall Siberian snow extent during has also been implicated as a potential driver of northern hemisphere winter weather through its influence on surface heating patterns and subsequent modulation of the Arctic Oscillation. As with sea ice forcing, snow forcing is hypothesized to act via the vertical propagation of waves into the stratosphere. The purpose of this model simulation was to investigate the impact of combined Fall Arctic Sea Ice and Eurasion snow perturbations Dataset Arctic Sea ice Arctic Data Center (via DataONE) Arctic |
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Open Polar |
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Arctic Data Center (via DataONE) |
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dataone:urn:node:ARCTIC |
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unknown |
description |
It is well established that model simulations of Arctic sea ice loss can force a significant circulation response. A growing body of work shows the atmospheric response is sensitive to the location of the sea ice anomalies, with the Barents-Kara Seas (BKS) implicated as a partiuclarly important forcing region. Mechanistically, sea ice loss corresponds to warm temperature anomalies, altered surface potential vorticity gradients, and therefore changes in rossby wave dynamics. This Rossby wave forcing is hypothesized to impact midlatitude surface weather either directly by changing synoptic weather patterns or indirectly via propagation into the stratosphere and subsequent downward control. While fall sea ice is declining, fall Siberian snow cover has increased. Variability in fall Siberian snow extent during has also been implicated as a potential driver of northern hemisphere winter weather through its influence on surface heating patterns and subsequent modulation of the Arctic Oscillation. As with sea ice forcing, snow forcing is hypothesized to act via the vertical propagation of waves into the stratosphere. The purpose of this model simulation was to investigate the impact of combined Fall Arctic Sea Ice and Eurasion snow perturbations |
format |
Dataset |
author |
Judah Cohen David Whittleston |
spellingShingle |
Judah Cohen David Whittleston High eurasion snow and low Arctic ice (Whole Atmosphere Community Climate Model (WACCM) perturbation), 1979-2013 |
author_facet |
Judah Cohen David Whittleston |
author_sort |
Judah Cohen |
title |
High eurasion snow and low Arctic ice (Whole Atmosphere Community Climate Model (WACCM) perturbation), 1979-2013 |
title_short |
High eurasion snow and low Arctic ice (Whole Atmosphere Community Climate Model (WACCM) perturbation), 1979-2013 |
title_full |
High eurasion snow and low Arctic ice (Whole Atmosphere Community Climate Model (WACCM) perturbation), 1979-2013 |
title_fullStr |
High eurasion snow and low Arctic ice (Whole Atmosphere Community Climate Model (WACCM) perturbation), 1979-2013 |
title_full_unstemmed |
High eurasion snow and low Arctic ice (Whole Atmosphere Community Climate Model (WACCM) perturbation), 1979-2013 |
title_sort |
high eurasion snow and low arctic ice (whole atmosphere community climate model (waccm) perturbation), 1979-2013 |
publisher |
Arctic Data Center |
publishDate |
2019 |
url |
https://search.dataone.org/view/urn:uuid:01fea991-bcdf-4922-935e-e195661c92ae |
op_coverage |
Standard CAM 1.9°x2.5° degree horizontal resolution, 66 vertical levels ENVELOPE(-180.0,180.0,90.0,-90.0) BEGINDATE: 1979-01-01T00:00:00Z ENDDATE: 2013-01-01T00:00:00Z |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
_version_ |
1800867271121305600 |