Post-Processing HAB Forecasts: A Bias Correction and Elasticity Assessment Using Ensemble and Machine Learning Methods
Post-Processing HAB Forecasts: A Bias Correction and Elasticity Assessment Using Ensemble and Machine Learning Methods
Rakhshinda Bano1, Asim Zia2, Patrick J Clemins3, Panagiotis D. Oikonomou4,5, Peter DF Isles6, Noah Beckage7, Andrew W. Schroth8, Mirce Ivon Morales Velazquez9, Scott Turnbull7, Donna M Rizzo4, Kareem Hannoun10 and Asim Zia: University of Vermont, (1)University of Vermont, Burlington, VT, United States, (2)University of Vermont, Department of Community Development and Applied Economics, Department of Computer Science, Burlington, VT, United States, (3)University of Vermont, Department of Computer Science, Burlington, VT, United States, (4)University of Vermont, Department of Civil and Environmental Engineering, Burlington, United States, (5)Agricultural University of Athens, Department of Natural Resources Management and Agricultural Engineering, Athens, Greece, (6)Vermont Department of Environmental Conservation, Watershed Management Division, Montpelier, United States, (7)University of Vermont, Burlington, United States, (8)University of Vermont, Geography and Geosciences, Burlington, United States, (9)University of Vermont, Geography & Geosciences; Water Resources Institute, Burlington, United States, (10)Water Quality Solutions Inc, McGaheysville, VA, United States