Environmental Studies and Forestry

Improved seasonal prediction of harmful algal blooms in Lake Erie using large-scale climate indices

M. Tewari, C. M. Kishtawal, et al.

Harmful Algal Blooms (HABs) in Lake Erie are wreaking havoc, leading to significant economic damage. This innovative research by Mukul Tewari, Chandra M. Kishtawal, Vincent W. Moriarty, Pallav Ray, Tarkeshwar Singh, Lei Zhang, Lloyd Treinish, and Kushagra Tewari showcases a groundbreaking machine learning method that enhances prediction accuracy by combining nutrient loading data with large-scale climate indices. Seasonal predictions can be made by early June, paving the way for effective mitigation strategies.