This sea ice prediction portal is a contribution to the Sea Ice Outlook and the Sea Ice Prediction Network. Our mission is to advance the study of year-round sea ice prediction and predictability at lead times from one week to one year.

The portal displays analysis of sea ice forecasts and compares with observations. Presently, most of our data are sea ice concentration, but we intend to expand the analysis to sea ice thickness and deformation and snow depths on sea ice. The portal automatically regrids forecast output to a common grid (the passive microwave 25 km x 25 km grid), post processes and computes forecast metrics. Most of the data we acquire is raw output, not bias corrected, with all ensemble members submitted.

This portal allows us to intercompare forecasts, compute ensemble statistics, test bias correction and other post processes, and produce a multi-model ensemble mean forecast.

We started the portal in February 2018. We plan to allow scientists to access the portal datasets and perform their own analysis using a Jupyterhub by the end of 2018. The portal analysis software is open source and available on Github. We’ll provide additional software and a space for analysis code sharing when the Jupyterhub opens.

We acquire data from archives and directly from contributors. Contributors control who has access to their data. If you wish to contribute your data, please contact us.

Our team consists of Nicholas Wayand, Edward Blanchard-Wrigglesworth, and Cecilia Bitz.





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