arXiv Machine Learning By Ayman Bnoussaad, El Khalil Cherif, Ligia Pinto, Ramiro Neves, Alexandra D. Silva, Alexandre Bernardino

Predicting Pseudo-nitzschia harmful algal blooms along the Portuguese Coast using satellite-derived predictors

Read the original on arXiv Machine Learning →

arXiv:2607. 07834v1 Announce Type: new Abstract: Pseudo-nitzschia diatoms pose recurrent risks to coastal ecosystems and shellfish harvesting along the Portuguese Atlantic coast.

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arXiv Machine Learning
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BG4Sea: Biogeochemical Seasonal Forecastability via Progressive Information Scaling

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PCA-Enhanced Adaptive NVAR Framework for High-Resolution Sea Surface Temperature Forecasting in the East Sea

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Deep Learning-Based Statistical Downscaling of Sea Surface Temperature Using a Residual Corrective Neural Network

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