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Field
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to investigate the parameters that control the triggering, speed and geometry of magmatic intrusion events at mid-ocean ridges, using dynamical models constrained with seismo-geodetic observations
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Job posting (PHY 06/2025) The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a temporary vacancy starting 01.01.2026 for a Postdoctoral position in regional ocean climate modeling in
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
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population estimation and modelling of population movements in the context of examining population exposure to extreme sea levels in low-elevation coastal zones (LECZ) in Ireland. In so doing, insight will be
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, climate scientists, and modelers to create and improve a digital twin framework that uses emulators to better represent ocean mixing and forcing; and working will contribute to next-generation ECCO
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
, we are developing a 3-km resolution model for the Bering Sea-Chukchi Sea complex using the data-assimilative ECCO-Darwin ocean biogeochemistry state estimate to fully quantify and attribute abrupt
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is to investigate the seismological manifestation of contrasting modes seafloor spreading regimes across the global mid-ocean ridge system. This will involve a systematic re-analysis of mid-ocean ridge
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water and likely to harbor a liquid ocean beneath their icy crust. The internal dynamics of these systems remain largely unknown, particularly the main sources of oceanic and heat movements, and the
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systems, specifically air-sea interactions in the ocean. The primary objective is to develop a consistent and well-calibrated mixed-layer-wave parameterization to capture turbulent kinetic energy (TKE) and