Heat flux through leads and polynyas is an order of magnitude larger than that through unbroken ice. In this presentation we explore some statistical properties observed in Arctic sea ice lead fraction, showing that our model (neXtSIM) does a good job at reproducing the observed statistics. Given the importance of heat flux through leads we then use the model to explore the statistical properties of the modelled heat fluxes. We show that the model reproduces well the probability density function (PDF) and the mono-fractal spatial scaling of observed lead fluxes in the Central Arctic.

As the Technology Transfer Office in Bergen, BTO supports research institutions in the region, from guiding good ideas towards commercialization of research and societal benefits. Innovation is one of the four social responsibilities in the Norwegian Act relating to universities, together with research, education and dissemination. BTO supports researchers developing innovative research ideas.

Existing roadmap projects for infrastructure under the Norwegian Research Council, i.e., NorDataNet, NMDC and NORMAP, provide open data access through the OPeNDAP protocol following the conventions for CF (Climate and Forecast) metadata, designed to promote the processing and sharing of files created with the NetCDF application programming interface (API). This approach is now also being implemented in the Norwegian Sentinel Data Hub (satellittdata.no) to provide satellite EO data to the user community.

Efficient coupling of ocean models (physics) and bio-geochemistry has traditionally been a resource demanding endeavor. Typically the ocean model exists and the bio-geochemistry must be implemented as an add-on without a clear defined application programming interface (API). The result being that each implementation of a new bio-geochemical model in a given physical model lead to ad-hoc solutions only working for the specific models in question.