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EGU 2020. CEASELESS session OS2.2

We kindly invite you to submit an abstract to session OS2.2: "Oceanography at coastal scales. Modelling, coupling and observations" at the upcoming EGU General Assembly 2020 that will be held in Vienna, Austria, 3-8 May 2020.
SESSION DESCRIPTION Coastal seas are experiencing an increasing pressure of uses (wind farms, navigation, harbour/coastal infrastructure...) and present a complexity of processes not found in other environments. The presence of a land boundary, the non linearities of enhanced turbulence, the sharp gradients due to topo-bathymetric control illustrate the limits for predicting coastal dynamics. The advent of new satellite capabilities (resolution and sensors like for instance those of the sentinel constellation) and new modelling advances (local parametrizations and enhance coupling and boundary conditions) together with in-situ data from coastal observatories should allow starting a quantum leap in coastal oceanography. This session aims at bringing together knowledge from observations and modelling so that we can jointly explore prediction limits and new applications for advanced oceanographic products. Some of the themes we invite for this session are: satellite/in-situ measurements, coastal assimilation, model coupling and error/prediction limits. And these for the main processes controlling coastal variability (hydrodynamics, morphodynamics and bio-geochemical processes). Applications to improve our knowledge on how these processes interact with coastal infrastructure or activities are also welcome. IMPORTANT DATES: The deadline for the receipt of abstracts is 15 JANUARY 2020, 13:00 CET In case you would like to APPLY for EGU Roland Schlich travel support, please submit abstracts no later than 01 DECEMBER 2019, 13:00 CET. Details can be found at: https://egu2020.eu/about_and_support/roland_schlich_travel_support.html Detailed information on how to submit an abstract can be found at: https://egu2020.eu/abstracts_and_programme/how_to_submit_an_abstract.html