Objective Prediction of Ice Formation, Freeze-up and Breakup on the Great Lakes

Dennis G. Baker Department of Atmospheric and Oceanic Science, University of Michigan, Ann Arbor 48104

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Anita Baker-Blocker Department of Atmospheric and Oceanic Science, University of Michigan, Ann Arbor 48104

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Bernard H. DeWitt DeWitt and Associates, Ann Arbor, Mich. 48104

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Dennis W. Dixon DeWitt and Associates, Ann Arbor, Mich. 48104

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Abstract

Objective predictions of first permanent ice formation and freeze-up on the Great Lakes were made by use of cumulative freezing degree-day totals, by the Lisitzin-Rodhe-Bilello equation, by use of departures from normal air temperature and by use of 30-day temperature outlooks. The four objective methods yield similar improvement over use of the mean date of freeze-up in prediction of these ice events, although freezing degree-day totals appear to represent the best method. Lake Superior ice cover can be predicted using the freezing degree-day method extrapolated to mid-lake locations with better results than a climatological prediction based on the use of long-term mean freeze-up dates.

Ice breakup on the Great Lakes was predicted using thawing degree-day totals and a correlation between stations approach. Both of these predictive techniques are superior to use of the mean date of breakup as a prediction.

Abstract

Objective predictions of first permanent ice formation and freeze-up on the Great Lakes were made by use of cumulative freezing degree-day totals, by the Lisitzin-Rodhe-Bilello equation, by use of departures from normal air temperature and by use of 30-day temperature outlooks. The four objective methods yield similar improvement over use of the mean date of freeze-up in prediction of these ice events, although freezing degree-day totals appear to represent the best method. Lake Superior ice cover can be predicted using the freezing degree-day method extrapolated to mid-lake locations with better results than a climatological prediction based on the use of long-term mean freeze-up dates.

Ice breakup on the Great Lakes was predicted using thawing degree-day totals and a correlation between stations approach. Both of these predictive techniques are superior to use of the mean date of breakup as a prediction.

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