Sea ice information for the Greenlandic community

<p>Sea ice information for the near coastal areas of the Greenlandic waters is of high importance for<br>the local communities and the maritime industry. The &#8220;truth&#8221; within sea ice information has<br>traditionally been associated with Manual Ice Charts; however, the demand for accurate forecasts<br>is increasing.<br>At first, this study will introduce a variety of satellite-based Copernicus marine service products<br>waters with a special focus on a novel automated ice chart that runs on a daily basis at the Danish<br>Meteorological Institute (DMI). The new product is based on a Convolutional Neural Network<br>(CNN), which combines passive microwave and SAR imagery in order to optimize retrieval. By<br>doing so, it produces the best possible sea ice concentration with a resolution comparable to the<br>manual ice charts.<br>Secondly, this study presents an improved operational forecast system for the Arctic sea ice<br>focusing on the Greenlandic waters. The physical basis of the system is close to the Arctic Marine<br>forecasting system within the Copernicus Marine System. This presentation will present the<br>forecast system and introduce the first attempts to assimilate a combination of level two data from<br>the automated ice charts gap-filled with level 2 passive microwave data.<br>We validate the sea ice edge forecast systems and the individual remotely sensed observational<br>products by computing the Integrated Ice Edge Error metric. This comparison is focused primarily<br>on the initial state and secondly on a comparison with the initial state.</p>