Using a Bayesian hierarchical model to improve Lake Erie cyanobacteria bloom forecasts
Author:
Affiliation:
1. Water Center, University of Michigan; Ann Arbor Michigan USA
2. NOAA Great Lakes Environmental Research Laboratory; Ann Arbor Michigan USA
3. Graham Sustainability Institute; University of Michigan; Ann Arbor Michigan USA
Funder
Great Lakes Restoration Initiative
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2014WR015616/fullpdf
Reference63 articles.
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3. From river to lake: Phosphorus partitioning and algal community compositional changes in Western Lake Erie;Bridgeman;J. Great Lakes Res.,2012
4. A novel method for tracking western Lake Erie Microcystis blooms, 2002-2011;Bridgeman;J. Great Lakes Res.,2013
5. General methods for monitoring convergence of iterative simulations;Brooks;J. Comput. Graph. Stat.,1998
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