New Arctic observations have improved the possibility for model evaluation against data. However, different modelers (regional, column, global, climate models or forced models) need different kinds of data. Furthermore, variables are sometimes called the same in observations and models, but are computed very differently, making quantative comparisons difficult. To highlight these and other topics, F. Massonnet and A. Jahn wrote up a short note on “Data needs for Arctic sea ice models” after this meeting. This note was expanded upon by the Polar Working group, which extended it to polar climate models in general (including atmospheric and oceanic data).
Presented by Alexandra Jahn, National Center for Atmospheric Research, at the 9th CliC Scientific Steering Group meeting in Potsdam, Germany 2013.