Combining neural networks and data assimilation to enhance the spatial impact of Argo floats in the Copernicus Mediterranean biogeochemical model
Ocean Science
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1M ago
Forecasting of marine biogeochemistry can be improved via the assimilation of observations. Floating buoys provide multivariate information about the status of the ocean interior. Information on the ocean interior can be expanded/augmented by machine learning. In this work, we show the enhanced impact of assimilating new in situ variables (oxygen) and reconstructed variables (nitrate) in the operational forecast system (MedBFM) model of the Mediterranean Sea ..read more
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Blending 2D topography images from SWOT into the altimeter constellation with the Level-3 multi-mission DUACS system
Ocean Science
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1M ago
The Surface Water and Ocean Topography (SWOT) mission delivers unprecedented swath altimetry products. In this paper, we describe how we extended the Level-3 algorithms to handle SWOT’s unique swath-altimeter data. We also illustrate and discuss the benefits, relevance, and limitations of Level-3 swath-altimeter products for various research domains ..read more
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AdriE: a high-resolution ocean model ensemble for the Adriatic Sea under severe climate change conditions
Ocean Science
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1M ago
We present a high-resolution modelling effort to investigate the possible end-of-century evolution of the main physical processes in the Adriatic Sea in a severe climate change scenario, with an ensemble approach (viz., use a of multiple simulations) allowing to control the uncertainty of the predictions. Our model exhibits a satisfactory capability to reproduce the recent past and provides a ground for a set of multidisciplinary studies in this area over a multi-decadal horizon ..read more
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The Alongshore Tilt of Mean Dynamic Topography and its Implications for Model Validation and Ocean Monitoring
Ocean Science
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1M ago
Mean dynamic topography (MDT), describes variations in the mean sea surface height above a reference surface called geoid. We show that MDT predicted by a regional ocean model, including a significant tilt along the coast of Nova Scotia, is in good agreement with estimates based on sea level observations. We demonstrate that this alongshore tilt of MDT can provide a direct estimate of the average alongshore current, and can also be used to approximate upwelling averaged over an offshore area ..read more
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Impact of Hurricane Irma on coral reef sediment redistribution at Looe Key Reef, Florida, USA
Ocean Science
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1M ago
This paper, using pre-storm, immediate post-storm and recovery data, quantifies seafloor elevation and volume change within the Looe Key Reef system of the Florida Keys Reef Tract over a 2.5-year period from 2016–2019 and to examine impacts from category-4 Hurricane Irma and post-storm re-equilibration of seafloor sediments. The study highlights the need to data collected over seasonal and annual time periods to improve characterization and understanding of short-term (event-driven, seasonal, interannual) and long-term (decadal to multi-decadal) rates and processes of seafloor change and help ..read more
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Convolutional Neural Networks for Sea Surface Data Assimilation in Operational Ocean Models: Test Case in the Gulf of Mexico
Ocean Science
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1M ago
Deep learning is enhancing ocean science by improving data processing and forecasts. This study uses Convolutional Neural Networks (CNNs) to assimilate sea surface data in the Gulf of Mexico. Researchers conducted five experiments to evaluate the CNNs' performance across different designs and data types, revealing how training data volume and CNN design affect their effectiveness in operational ocean modeling ..read more
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Generation of super-resolution gap-free ocean colour satellite products using DINEOF
Ocean Science
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1M ago
This work presents an approach to increase the spatial resolution of satellite data and interpolate gaps dur to cloud cover, using a method called DINEOF (Data Interpolating Empirical Orthogonal Functions). The method is tested on turbidity and chlorophyll-a concentration data in the Belgian coastal zone and the North Sea. The results show that we are able to improve the spatial resolution of these data in order to perform analysis of spatial and temporal variability in the coastal regions ..read more
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The anti-cyclonic gyre around the Qingdao cold water mass in the China marginal sea
Ocean Science
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1M ago
The Qingdao cold water mass significantly influences aquaculture in China since it is situated near the Chinese coastline. Based on 3-dimensional numerical simulation results, we find a clockwise current structure that exists around the Qingdao cold water mass; furthermore, we analyze the relationship between the clockwise current with the Qingdao cold water temperature and salinity ..read more
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Wave-resolving Voronoi model of Rouse number for sediment entrainment equilibrium
Ocean Science
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1M ago
A new Voronoi mesh-borne coastal ocean model has been developed. Recent publications encouraged the development of models that work with different mesh types. Voronoi meshes exhibit less acute polygon angles and less numerical diffusion. The developed model is sufficiently generalized to work with any mesh type (Delaunay triangles, Voronoi, structured, mixed). The model is suitable for wave-resolving simulations for coastal developments to resolve intricate changes in erosion and deposition ..read more
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On the short-term response of entrained air bubbles in the upper ocean: a case study in the north Adriatic Sea
Ocean Science
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2M ago
We investigated the behaviour of air bubble plumes in the upper ocean in various stormy conditions. We conducted a field experiment in the North Adriatic Sea using high-resolution sonar. We found that bubble penetration depths respond rapidly to wind and wave forcings and can be triggered by the cooling of the water masses. We also found a strong connection between bubble depths and theoretical CO gas transfer. Our findings have implications for air–sea interaction studies ..read more
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