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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Main Authors: Judah Cohen, David Whittleston
Format: Dataset
Language:unknown
Published: Arctic Data Center 2019
Subjects:
Online Access:https://search.dataone.org/view/urn:uuid:556aaa34-610b-4f91-8858-66287db6e0af
id dataone:urn:uuid:556aaa34-610b-4f91-8858-66287db6e0af
record_format openpolar
spelling dataone:urn:uuid:556aaa34-610b-4f91-8858-66287db6e0af 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:556aaa34-610b-4f91-8858-66287db6e0af 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
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language 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:556aaa34-610b-4f91-8858-66287db6e0af
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
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