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Modeling ice algae in the Canadian Arctic Archipelago

Posted on:2010-01-18Degree:M.ScType:Thesis
University:McGill University (Canada)Candidate:Pogson, LynnFull Text:PDF
GTID:2446390002489182Subject:Physical oceanography
Abstract/Summary:
Ice algae are an important component of the carbon cycle in the Arctic, and can therefore have an impact on climate. I investigate the dynamics of an ice algae bloom by coupling an algae-nutrient model [Lavoie et al., 2005] with a thermodynamic sea ice model [Huwald et al., 2005]. The sea ice component is a more sophisticated model than what has been used in past Arctic ice algae model studies. To validate the model, I simulate an algal bloom at the base of the ice over a season and compare with data from the Resolute area in the Canadian Arctic Archipelago. Results suggest that bloom dynamics are strongly related to the ice growth/melt rate, with ice melt being the trigger for bloom decline. Being able to accurately model physical conditions is essential before ice algae can be accurately modeled, and some recommendations for improvement are discussed.
Keywords/Search Tags:Ice, Model, Arctic
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