The new Global Tipping Point Report warns of risks to Atlantic Ocean Circulation, but the timing remains uncertain.

Mandag 27. oktober kl. 11–12 presenterer Norsk klimaservicesenter den ferskeste kunnskapen som viser hvordan stadig økende temperatur endrer Norge. Dette gjør at vi må tilpasse oss for å minimere risiko og sikre liv og verdier.

The next BCCR Monday Seminar will be given by Jan Kavan from Centre for Polar Ecology, University of South Bohemia, Czechia. He will present his work on "Marine-terminating glaciers dynamics and its consequences for development of coastal zones around the Arctic". The seminar will take place in the usual BCCR seminar room(4th floor of the West wing) at 11:30. Abstract Marine terminating glaciers represent an interface between glacial, marine and terrestrial environments. The adjacent fjords serve as a unique habitat hosting rich marine wildlife with exceptional biodiversity thanks to enhanced nutrient upwelling in front of the glacier calving front. Coastal areas are also the most densely inhabited zones in the Arctic, where most human activities and infrastructure are strongly related to the marine environment. With the ongoing and still accelerating climate warming of the Arctic, the marine terminating glaciers are continuously retreating exposing new paraglacial coastal areas. These new coastal areas are one of the most geomorphologically dynamic regions on Earth. This high dynamic goes hand in hand with increased susceptibility to natural hazards (landslides, rockfall, tsunami waves). Here, I will introduce recent trends in exposing new coastlines around the Arctic and highlight few examples of geomorphic coastal transformation from different locations around Svalbard. Speaker information Jan Kavan works currently as a researcher in Centre for Polar Ecology, University of South Bohemia, Czechia. He focuses on coastal processes associated with retreat of marine terminating glaciers in the Arctic with special emphasis on Svalbard.

The first machine learning (ML) weather forecasting models are now operational. These models are often superior to numerical weather forecasting models, and are much cheaper to run. These technological advances open up a range of research questions on the use of these models and their forecasts. The workshop will consist of presentations, a discussion and a tutorial on running an ML weather forecasting model yourself. We will have presentations on ML for weather forecasting and downscaling and a discussion on the new possibilities that come from the machine learning models. We are also inviting mini presentations from participants on ongoing work. Organisers: Sigrid Passano Hellan, NORCE and Bjerknes, sipa@norceresearch.no Olav Ersland, Norwegian Meteorological Institute, olave@met.no