Improving Ocean Forecasting Using Deep Learning and Numerical Model Integration
In this paper, we propose a novel method to enhance the accuracy of a real-time ocean forecasting system. The proposed system consists of a real-time restoration system of satellite ocean temperature based on a deep generative inpainting network (GIN ...
Youngmin Park, Choi Youngjin
exaly +3 more sources
Ocean primary productivity generated by phytoplankton is critical for ocean ecosystems and the global carbon cycle. Accurate ocean primary productivity forecasting months in advance is beneficial for marine management.
Lei Xu, Hongchu Yu, Zeqiang Chen
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Facing the Forecaster’s Dilemma: Reflexivity in Ocean System Forecasting
Unlike atmospheric weather forecasting, ocean forecasting is often reflexive; for many applications, the forecast and its dissemination can change the outcome, and is in this way, a part of the system.
Nicholas R Record +2 more
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Seasonal to annual ocean forecasting skill and the role of model and observational uncertainty [PDF]
Stephan Juricke +2 more
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Rainfall sustains multiyear La Niña [PDF]
Historical observations and climate models indicate that multiyear La Niña events are growing more frequent. These prolonged events cumulatively alter tropical Pacific rainfall, which in turn affects regional mixed-layer salinity (MLS).
Feng Tian +3 more
doaj +2 more sources
Using feature-based verification methods to explore the spatial and temporal characteristics of the 2019 chlorophyll-a bloom season in a model of the European Northwest Shelf [PDF]
Two feature-based verification methods, thus far only used for the diagnostic evaluation of atmospheric models, have been applied to compare ∼7 km resolution pre-operational analyses of chlorophyll-a (Chl-a) concentrations to a 1 km gridded satellite ...
M. Mittermaier +4 more
doaj +1 more source
Harmful Algae Forecasting through an Ocean Data Justice Lens [PDF]
Nicholas R Record +2 more
exaly +2 more sources
An approach to the verification of high-resolution ocean models using spatial methods [PDF]
The Met Office currently runs two operational ocean forecasting configurations for the North West European Shelf: an eddy-permitting model with a resolution of 7 km (AMM7) and an eddy-resolving model at 1.5 km (AMM15).
R. Crocker +4 more
doaj +1 more source
Weekly green tide mapping in the Yellow Sea with deep learning: integrating optical and synthetic aperture radar ocean imagery [PDF]
Since 2008, the Yellow Sea has experienced the world's largest-scale marine disaster, the green tide, marked by the rapid proliferation and accumulation of large floating algae. Leveraging advanced artificial intelligence (AI) models, namely AlgaeNet and
L. Gao, Y. Guo, X. Li
doaj +1 more source
Remote Sensing Data-Based Modelling for Analyzing Green Tide Proliferation Drivers in the Yellow Sea
Since 2007, green tides have recurrently occurred in the Yellow Sea during spring and summer, with a massive outbreak recorded in 2021. Given the critical significance of green tide monitoring and prediction for marine ecological security and sustainable
Jing Yang +5 more
doaj +1 more source

