Improving Ocean Forecasting Using Deep Learning and Numerical Model Integration
Journal of Marine Science and Engineering, 2022 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
exaly +3 more sources
Remote Sensing, 2023 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.
Zeqiang Chen, Wenying Du, Nengcheng Chen
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Seasonal to annual ocean forecasting skill and the role of model and observational uncertainty [PDF]
Quarterly Journal of the Royal Meteorological Society, 2018 Dave MacLeod +2 more
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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]
Ocean Science, 2021 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
Remote Sensing Data-Based Modelling for Analyzing Green Tide Proliferation Drivers in the Yellow Sea
Remote SensingSince 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
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Parallel Framework of the Mass Conservation Ocean Model
Ocean-Land-Atmosphere ResearchHigh-resolution global ocean circulation models are essential for marine environmental forecasting and climate change research. The Mass Conservation Ocean Model (MaCOM) is an operational ocean circulation model developed by the National Marine ...
Renbo Pang +4 more
doaj +1 more source
An approach to the verification of high-resolution ocean models using spatial methods [PDF]
Ocean Science, 2020 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
sampley: A Python package for sampling visual survey data
Methods in Ecology and EvolutionVisual surveys are a common method of obtaining data for ecological studies, including studies that develop models (e.g. species distribution models).
Jonathan Syme +4 more
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Weekly green tide mapping in the Yellow Sea with deep learning: integrating optical and synthetic aperture radar ocean imagery [PDF]
Earth System Science DataSince 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
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Earth and Space ScienceTo satisfy the needs of the Arctic sea ice seasonal prediction in summer, we developed the Arctic Seasonal Prediction System (ArcSPS). This system integrates an Arctic sea ice–ocean–atmosphere coupled model with an ensemble‐based Kalman Filter data ...
Zhongxiang Tian +7 more
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