Predictor for theseasonal Arctic sea ice based on statistical regression
Predictor for theseasonal Arctic sea ice based on statistical regression
  • Model name:Predictor for theseasonal Arctic sea ice based on statistical regression
  • Tag: Sea ice Sea ice prediction
  • Share mode:Code
  • Temporal resolution:Only September
  • Model driven data:Weekly Melt pond fraction; Daily sea ice concentration; Daily polynya
  • Model main output:Coverage area of Arctic sea ice (Sep.);
  • Model output format:ASCII;NetCDF
Model description:

This is a linear regression model to reproduce the ice extent (Ysie) using the pond fraction (Xmpf) as the predictor. The regression model can be expressed as: Ysie = A + BXmpf + e, where A and B are determined by the least squares approach and e is the model residual.

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