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Field
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to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies
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candidate will refine the physical processes represented in the regional model, with particular attention to improving land–sea coupling and sediment–water interactions. Building on recent progress in both
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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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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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our research team at HKU working at the forefront of ocean remote sensing and global change monitoring. Our work combines satellite data, physical models, and AI methods to understand ocean dynamics and
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change monitoring. Our work combines satellite data, physical models, and AI methods to understand ocean dynamics and environmental changes. Duties and Responsibilities Conduct independent and
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-Ocean model coupled with E3SM’s land and river components Including wave setup processes into E3SM by coupling the E3SM wave and ocean components Application of this coupled model to better understand
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), seeks a postdoctoral or more senior research scientist to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | 17 days ago
model analyses with reanalysis data to quantify the direct and causal effects of sea ice changes on large-scale circulation patterns and extreme events. Your Tasks Set-up and performance of large-ensemble
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multifidelity modelling, and goal-oriented numerical error estimation. The resulting surrogate model will map uncertain meta-ocean conditions to key quantities of interest for OFPV performance and sustainability