To strengthen forecasting capacity in support of effective management of HABs, researchers from the University of Michigan’s (UM) Water Center and NOAA’s Great Lake Environmental Research Laboratory (GLERL) have joined forces to improve predictions of harmful algal blooms (HABs) in Lake Erie. Their research addresses the uncertainty of HABs prediction in the paper, “Using a Bayesian hierarchical model to improve Lake Erie cyanobacteria bloom forecast” that will be published in the Water Resources Research. Dan Obenour from the UM Water Center is primary author of the paper and co-authors include GLERL’s Drew Gronewold and Craig Stow and UM Water Center’s Don Scavia. The paper is now available online on the website of the Water Resources Research journal of the American Geophysical Union.: onlinelibrary.wiley/enhanced/doi/10.1002/2014WR015616/ The HABs forecast research team released the first-ever experimental forecast for 2014 Lake Erie harmful algal bloom relating bloom size to total phosphorus load. The 2014 Experimental Forecast is available at: glerl.noaa.gov/res/waterQuality/docs/LakeErieBloomForecastRelease071514.pdf
Posted on: Wed, 15 Oct 2014 14:58:34 +0000
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