AI and the Ocean: Report on Mikhail Krinitsky's Presentation at AI IN2023 Conference

<p>This article covers the presentation by Mikhail Krinitsky, a senior researcher of the Laboratory for Ocean-Atmosphere Interaction and Climate Change Monitoring at the Russian Academy of Sciences' Institute of Oceanology, at the Artificial Intelligence AI IN 2023 conference at the University of Innopolis. Krinitsky introduced a unique perspective on the application of artificial intelligence (AI) methods in Earth sciences. Particular attention is given to the successful utilization of AI in monitoring and research tasks in the field of oceanology, as well as the high-potential capabilities of AI in various monitoring observation tasks, accelerating chamber and field studies, and more accurately assessing factors regulating the dynamics of the atmosphere and ocean. The article also addresses the challenges and issues arising from the application of AI in fundamental sciences, and Krinitsky's team's endeavor to develop methods to enhance the academic community's trust in the results obtained with the help of AI.</p&gt

Wind waves in the North Atlantic from ship navigational radar: SeaVision development and its validation with the Spotter wave buoy and WaveWatch III

International audienceWind waves play an important role in the climate system, modulating the energy exchange between the ocean and the atmosphere and effecting ocean mixing. However, existing ship-based observational networks of wind waves are still sparse, limiting therefore the possibilities of validating satellite missions and model simulations. In this paper we present data collected on three research cruises in the North Atlantic and Arctic in 2020 and 2021 and the SeaVision system for measuring wind wave characteristics over the open ocean with a standard marine navigation X-band radar. Simultaneously with the SeaVision wind wave characteristic measurements, we also collected data from the Spotter wave buoy at the same locations, and we ran the WaveWatch III model in a very high-resolution configuration over the observational domain. SeaVision measurements were validated against co-located Spotter wave buoy data and intercompared with the output of WaveWatch III simulations. Observations of the wind waves with the navigation X-band radar were found to be in good agreement with buoy data and model simulations with the best match for the wave propagation directions. Supporting datasets consist of significant wave heights, wave directions, wave periods and wave energy frequency spectra derived from both SeaVision and the Spotter buoy. All supporting data are available through the PANGAEA repository - https://doi.org/10.1594/PANGAEA.939620 (Gavrikov et al., 2021). The dataset can be further used for validation of satellite missions and regional wave model experiments. Our study shows the potential of ship navigation X-band radars (when assembled with SeaVision or similar systems) for the development of a new near-global observational network providing a much larger number of wind wave observations compared to e.g. Voluntary Observing Ship (VOS) data and research vessel campaigns