Date of Award

1-1-2017

Language

English

Document Type

Master's Thesis

Degree Name

Master of Science (MS)

College/School/Department

Department of Atmospheric and Environmental Sciences

Content Description

1 online resource (ii, x, 77 pages)

Dissertation/Thesis Chair

Jiping Liu

Committee Members

Andrea Lang

Keywords

Sea ice, Weather forecasting, Ocean-atmosphere interaction, Climatic changes

Subject Categories

Atmospheric Sciences | Climate

Abstract

Arctic climate is undergoing significant change, particularly rapid decline of sea ice. Arctic sea ice plays an important role in local, regional, and global climate through a variety of physical processes as seen in observational analysis as well as modeling studies. Recent research suggested that decreasing autumn and winter Arctic sea ice extent (SIE) has been shown to have an effect on mid-latitude weather patterns during the winter months. Therefore, accurate forecasts of Arctic sea ice extent and the associated teleconnections with the mid-latitudes are important for accurate seasonal climate prediction. The NCEP Climate Forecast System version 2 (CFSv2) is a fully coupled atmosphere-ocean-sea ice-land surface model that is used for seasonal climate prediction and climate reanalysis. This study will evaluate 1) if the CFSv2 can reproduce the observed variability of Arctic SIE in the CFSv2 reanalysis and reforecasts and 2) to what extent the CFSv2 can reproduce the observed linkages seen in mid-latitude weather patterns in its reanalysis and reforecasts.

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