All data are for 2019–2024 except for ESnet users, which is calculated from 2023–2024.
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Predicting the Onset of Harmful Algal Blooms
Toxic algal blooms can close beaches, damage fisheries, and contaminate drinking water, causing significant economic impacts for coastal communities. Berkeley Lab’s Earth & Environmental Sciences researchers are using machine learning to study how microbial communities and chemical conditions interact as early indicators of harmful algal blooms. This research aims to improve bloom prediction and support the development of effective mitigation strategies.
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