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The HAB Tracker is a tool that combines remote sensing, monitoring, and modeling to produce daily 5-day forecasts of bloom transport and concentration. This product takes daily satellite imagery and real-time monitoring to estimate the current expanse and intensity of the bloom, where we can use forecasted meteorology and hydrodynamic modeling to predict where the bloom will travel and what concentrations are likely to seen on a 3-dimensional scale. These predictions can provide water intake managers timely information for public health decision-making.
|2016 retrospective animation showing surface chlorophyll concentration estimated by the Lake Erie HAB Tracker model for the season. Increasing chlorophyll concentration indicates increasing likelihood of HAB presence. The initial distribution of surface chlorophyll is estimated from satellite imagery (below). Predicted changes in surface chlorophyll concentration are estimated using observed (nowcast) and forecasted meteorology in combination with a hydrodynamic model and a Lagrangian particle tracking model. (See animation of surface currents from GLCFS)||