The Influence of Local Sea Ice and Remote Northern Hemisphere Teleconnections on Cyclones in Baffin Bay, Davis Strait, and Labrador Sea

Cyclones are a primary mode of energy transport between the midlatitudes and the polar region in the Northern Hemisphere (NH). Due to the North Atlantic experiencing some of the highest frequencies of cyclones, this region has been extensively researched. However, Baffin Bay (BB), Davis Strait (DS),...

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Bibliographic Details
Main Author: Barger, Bradley Allen
Other Authors: Frauenfeld, Oliver, Klein, Andrew, Dessler, Andrew
Format: Thesis
Language:English
Published: 2020
Subjects:
NAO
AO
Online Access:https://hdl.handle.net/1969.1/191540
Description
Summary:Cyclones are a primary mode of energy transport between the midlatitudes and the polar region in the Northern Hemisphere (NH). Due to the North Atlantic experiencing some of the highest frequencies of cyclones, this region has been extensively researched. However, Baffin Bay (BB), Davis Strait (DS), and Labrador Sea (LS) are also part of the North Atlantic, yet limited literature exists regarding cyclones and the influences of local and remote drivers on their variability in these subregions. This thesis focuses on determining the influence of local sea ice cover and remote NH teleconnections on cyclone variability in BB, DS, and LS from 1980-2015. To represent the local sea ice area driver, the NH’s monthly sea ice cover was subsetted for each subregion. To establish the remote atmospheric driver, the North Atlantic Oscillation (NAO), Arctic Oscillation (AO), Pacific Decadal Oscillation, Pacific North American Pattern, Polar Eurasian Pattern, and East Atlantic/West Russia Pattern’s monthly indices were obtained for 1980-2015. Cyclone variability was represented with the annual count, central pressure, cyclogenesis and cyclolysis events, local laplacian, latitude, and longitude from NSIDC’s NH Cyclone Locations and Characteristics record. Local drivers, remote drivers, and cyclone variables were analyzed using linear least-squares regression trends, compared using correlations (95% confidence interval), and all were seasonally standardized and detrended before each cyclone variable was compared with each local and remote driver at the long-term and individual monthly timescales. Results indicate that sea ice area in BB, DS, and LS decreased significantly, but at lower rates than the NH. Furthermore, each subregion’s sea ice variability is unique from the NH’s and from the other subregions, however periods of similar sea ice area deviation occurs across all subregions. The overall study area’s (BB-DS-LS) total number of cyclogenesis events had the only significant trend (positive) out of all cyclone variables. ...