Development of recurrent coastal plume in Lake Michigan observed for first time

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/94637/1/eost11132.pd

Performance Verification Statement for the Chelsea UviLux Hydrocarbon and CDOM Fluorometers

ACT verifications are based on an evaluation of technology performance under specific, agreed- upon protocols, criteria, and quality assurance procedures. ACT and its Partner Institutions do not certify that a technology will always operate as verified and make no expressed or implied guarantee as to the performance of the technology or that a technology will always, or under circumstances other than those used in testing, operate at the levels verified. ACT does not seek to determine regulatory compliance; does not rank technologies nor compare their performance; does not label or list technologies as acceptable or unacceptable; and does not seek to determine “best available technology” in any form. The end user is solely responsible for complying with any and all applicable federal, state, and local requirements. This document has been peer reviewed by ACT Partner Institutions and a technology-specific advisory committee and was recommended for public release. Mention of trade names or commercial products does not constitute endorsement or recommendation by ACT for use.National Oceanographic and Oceanic Administration NOAA Integrated Ocean Observing System IOO

Chronicles of hypoxia: Time-series buoy observations reveal annually recurring seasonal basin-wide hypoxia in Muskegon Lake – A Great Lakes estuary

We chronicled the seasonally recurring hypolimnetic hypoxia in Muskegon Lake – a Great Lakes estuary over 3 years, and examined its causes and consequences. Muskegon Lake is a mesotrophic drowned river mouth that drains Michigan\u27s 2nd largest watershed into Lake Michigan. A buoy observatory tracked ecosystem changes in the Muskegon Lake Area of Concern (AOC), gathering vital time-series data on the lake\u27s water quality from early summer through late fall from 2011 to 2013 (www.gvsu.edu/buoy). Observatory-based measurements of dissolved oxygen (DO) tracked the gradual development, intensification and breakdown of hypoxia (mild hypoxia b4 mg DO/L, and severe hypoxia b2 mg DO/L) below the ~6 m thermocline in the lake, occurring in synchrony with changes in temperature and phytoplankton biomass in the water column during July–October. Time-series data suggest that proximal causes of the observed seasonal hypolimnetic DO dynamics are stratified summer water-column, reduced wind-driven mixing, longer summer residence time, episodic intrusions of cold DO-rich nearshore Lake Michigan water, nutrient run off from watershed, and phytoplankton blooms. Additional basin-wide water-column profiling (2011–2012) and ship-based seasonal surveys (2003–2013) confirmed that bottom water hypoxia is an annually recurring lake-wide condition. Volumetric hypolimnetic oxygen demand was high (0.07–0.15 mg DO/Liter/day) and comparable to other temperate eutrophic lakes. Over 3 years of intense monitoring, ~9–24% of Muskegon Lake\u27s volume experienced hypoxia for ~29–85 days/year – with the potential for hypolimnetic habitat degradation and sediment phosphorus release leading to further eutrophication. Thus, time-series observatories can provide penetrating insights into the inner workings of ecosystems and their external drivers

Anatomy of the recurrent coastal sediment plume in Lake Michigan and its impacts on light climate, nutrients, and plankton

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/94624/1/jgrc9664.pd

Satellite based retrievals of chlorophyll, dissolved organic carbon and suspended minerals for each of the Great Lakes

Michigan Tech Research Institute (MTRI) scientists have modified a Nansen International Environmental and Remote Sensing Center (NIERSC) algorithm to retrieve concentrations of chlorophyll (chl), dissolved organic carbon (doc), and suspended minerals (sm) for the Great lakes using MODIS and MERIS electro-optical satellite data. The original algorithm based on a hydro-optical (HO) model of Lake Ontario generated over 30 years ago has been updated using a comprehensive set of measured Inherent Optical Properties (IOPs) coincident with in situ properties of each Great Lake collected by Great lakes Environmental Research Laboratory (GLERL) and Upstate Freshwater Institute (UFI) scientists on cruises spanning the years 2007 to present. The new algorithms based on a unique HO model for each lake achieve the desired accuracy within 10% when compared to near coincident in situ measurements. Comparisons of the five new HO models provide insight into the ecosystems of each lake and comparison with the original lake Ontario HO model indicate how that lake has changed over that period due to climate change, anthropogenic forcing, and invasive species