Sea Ice Koopman Mode Analysis
AIMDYN INC SANTA BARBARA CA SANTA BARBARA United States
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The program goal was to apply Koopman Mode Analysis KMA to sea ice data sets to study their temporal and geographic behavior over multi-year time scales. Work in this period primarily consisted of prediction of future sea ice concentration values using Koopman reconstruction techniques Prediction was performed for varied input year ranges between 3 and 38 years, and for prediction years between 1982 and 2017, and for the entire data available for each hemisphere and regions within each hemisphere Results shown include prediction of spatial distribution of sea ice concentration, prediction of pixel-by-pixel deviation between predicted and actual results, and comparisons of the mean of the predicted and actual data for each region.
- Snow, Ice and Permafrost
- Physical and Dynamic Oceanography