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Home > Research by Programs > Physical Environment Prediction > PEP Projects List
Complete Listing of Physical Environment Prediction Projects
CoastWatch Operations CoastWatch is a nationwide National
Oceanic and Atmospheric Administration (NOAA) program within which the
Great Lakes Environmental Research Laboratory (GLERL) functions as the
Great Lakes regional node (NOAA
CoastWatch Great Lakes Node web site). GLERL obtains, produces, and
delivers environmental data and products for near real-time observation
of the Great Lakes to support environmental science, decision making,
and supporting research.
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Great Lakes Sensitivity to Climatic Forcing The Great Lakes Environmental Research Laboratory simulated Great Lakes hydrology for hypothetical climate scenarios to understand the extremes necessary to cause closed (terminal) lakes, believed to have occurred about 7,500 years ago (by carbon dating).
+ Read More
International Field Years on Lake Erie (IFYLE) NOAA GLERL
is leading a large scale collaborative research effort on Lake Erie
+
Read more
Lake Champlain Hydrodynamic studies have been underway
on Lake Champlain since 1990 and is being expanded to include novel lagrangian
experiments, modeling and lower food web work. The program consists of
two field efforts. First, an acoustic propagation phase that would provide
results as to whether or not Lake Champlain would be capable of supporting
an acoustic net that could be used for tracking underwater drifters. The
second phase will consist of large scale experiments involving fixed current
meter moorings, RAFOS drifters and GLERL satellite-tracked surface drifters.
The RAFOS and surface drifters will allow us to estimate the lagrangian
flow field in both the surface mixed layer and in the hypolimnion as well.
+ Read more
Lake Circulation Studies and the Great Lakes Coastal Forecast
System This project is designed to develop and fully implement
a system of computerized models that can simulate and predict the three-dimensional
structure of currents, temperatures, water level fluctuations, wind waves,
and sediments in the Great Lakes.
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Measurement and Modeling of Wave-induced Sediment Resuspension
in Nearshore Water This project studies sediment resuspension
in nearshore water by using subsurface pressure sensors to measure the
heights and periods of surface waves and measuring the bottom current
velocity and suspended sediment concentration. The data and the analysis
will aid in the development of a lake-wide sediment transport model.
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Time Series Measurements in Lake Erie The purpose of this project is to achieve accurate
modeling of the transport and fate of both nutrients and anthropogenic
pollutants in the Great Lakes. This requires knowledge of the concentration
and the particle size distribution of suspended particulates.
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New Bathymetry of the Great Lakes This has been a decade-long
project at GLERL to fully utilize the existing sounding data held by both
the National Geophysical Data Center and the Canadian Hydrographic Service
to produce high quality original bathymetric maps and data products covering
the Laurentian Great Lakes. Poster bathymetry maps and CD Data ROMs have
been published for Lakes Michigan, Erie, and Ontario.
+ Read more
Next Generation Large Basin Runoff Model A fast, accurate model of weekly or monthly runoff volumes (
with a daily internal computation
interval) with relatively simple data requirements.
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Real-time Meteorological Observation Network GLERL established
and maintains a network of five real-time meteorological stations at exposed
coastal sites around southern Lake Michigan: Chicago, Milwaukee, Kenosha,
Saugatuck and Michigan City. GLERL makes observations from these stations
available to NWS forecast offices at Milwaukee, Chicago, and Grand Rapids
in real-time.
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Thermal Structure Monitoring and Related Studies The
main objectives of this project are to develop improved climatological
information by means of observations, new instrumentation, and improved
analyses of the distribution and variability of coastal and offshore temperatures
and by studying their dependence on meteorological and hydrological forces,
with emphasis on potential changes in climate, and to concurrently provide
data for improving numerical models that can simulate and predict the
thermal structure in the lakes.
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