Great Lakes Water Levels and Temperatures	
Identification	
1. Indicator Description
This indicator describes how water levels and surface water temperatures in the Great Lakes (Lake
Superior, Lake Michigan, Lake Huron, Lake Erie, and Lake Ontario) have changed over the last 150 years
(water levels) and the last two decades (temperatures). Water levels and surface water temperatures
are useful indicators of climate change because they can be affected by air temperatures, precipitation
patterns, evaporation rates, and duration of ice cover. In recent years, warmer surface water
temperatures in the Great Lakes have contributed to lower water levels by increasing rates of
evaporation and causing lake ice to form later than usual, which extends the season for evaporation
(Gronewold et al., 2013).
Components of this indicator include:



Average annual water levels in the Great Lakes since 1860 (Figure 1).
Average annual surface water temperatures of the Great Lakes since 1995 (Figure 2).
Comparison of daily surface water temperatures throughout the year, 1995-2004 versus 2011-
2020 (Figure 2).
2. Revision History
May 2014:	Indicator published.
June 2015:	Updated indicator with data through 2014.
August 2016:	Updated indicator with data through 2015.
April 2021:	Updated indicator with data through 2020.
Data Sources
3. Data Sources
Water level data were collected by water level gauges and were provided by the National Oceanic and
Atmospheric Administration's (NOAA's) National Ocean Service (NOS), Center for Operational
Oceanographic Products and Services (CO-OPS) and the Canadian Hydrographic Service (CHS). Water
level data are available for the period 1860 to 2020.
The temperature component of this indicator is based on surface water temperature data from satellite
imagery analyzed by NOAA's Great Lakes Environmental Research Laboratory's Great Lakes Surface
Environmental Analysis (GLSEA). Complete years (all seasons) of satellite data are available from 1995 to
2020.
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4. Data Availability
All of the Great Lakes water level and surface temperature observations used for this indicator are
publicly available from the following NOAA websites:
•	Water level data from the Great Lakes Water Level Dashboard Data Download Portal:
www.glerl.noaa.gov/data/dashboard/data. At the time EPA updated this indicator in 2021, the
annual high and low water levels for Lake Superior in 1906 were missing from the NOAA
repository. As all other pre-1918 data were identical to data previously obtained by EPA from
NOAA's website, archived values for those two missing data points were used.
•	Water level data documentation: www.glerl.noaa.gov/data/now/wlevels/levels.html.
•	Satellite-based temperature data from GLSEA: https://coastwatch.glerl.noaa.gov/statistic.
Methodology	
5. Data Collection
Water Levels
NOAA's NOS/CO-OPS and CHS use a set of gauges along the shoreline to measure water levels in each of
the five Great Lakes. All five lakes have had one or more gauges in operation since 1860. In 1992, the
Coordinating Committee for Great Lakes Basic Hydraulic and Hydrologic Data approved a standard set of
gauges suitable for both U.S. and Canadian shores, covering the period from 1918 to present. These
gauges were chosen to provide the most accurate measure of each lake's water level when averaged
together. The standard set comprises 22 gauges in the five Great Lakes and two in Lake St. Clair (the
smaller lake between Lake Huron and Lake Erie). Only the five Great Lakes are included in this indicator.
Lakes Michigan and Huron are combined for this analysis because they are hydrologically connected,
and thus they are expected to exhibit the same water levels.
The locations of the water level gauges used for this indicator are shown in Table TD-1.
Table TD-1. Water Level Gauge Locations
Lake Superior
Lakes Michigan-
Huron
Lake Erie
Lake Ontario
Duluth, MN
Marquette C.G., Ml
Pt Iroquois, Ml
Michipicoten, ON
Thunder Bay, ON
Ludington, Ml
Mackinaw City, Ml
Harbor Beach, Ml
Milwaukee, Wl
Thessalon, ON
Tobermory, ON
Toledo, OH
Cleveland, OH
Fairport, OH
Port Stanley, ON
Port Colborne, ON
Rochester, NY
Oswego, NY
Port Weller, ON
Toronto, ON
Cobourg, ON
Kingston, ON
An interactive map of all NOAA CO-OPS stations and real-time data displays are available online at:
https://tidesandcurrents.noaa.gov. For more information about data collection methods and the low
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water datum that is used as a reference plane for each lake, see:
www.glerl.noaa.gov/data/now/wlevels/levels.html.
Surface Water Temperatures
The GLSEA is operated by NOAA's Great Lakes Environmental Research Laboratory through the NOAA
CoastWatch program. For general information about this program, see:
https://coastwatch.glerl.noaa.gov/glsea/doc. GLSEA uses data from the Polar-Orbiting Operational
Environmental Satellites system. Specifically, GLSEA uses data from the Advanced Very High Resolution
Radiometer instrument, which can measure surface temperatures. Visit:
www.ospo.noaa.gov/Operations/POES/index.html for more information about the satellite missions
and: www.avl.class.noaa.gov/release/data available/avhrr/index.htm for detailed documentation of
instrumentation. GLSEA satellite-based data for the Great Lakes are available from 1992 through the
present. Data for winter months in 1992 through 1994 are absent, however. Complete years of satellite-
based data are available starting in 1995.
6. Indicator Derivation
Water Levels
NOAA provides annual average water level observations in meters, along with the highest and lowest
monthly average water levels for each year. As discussed in Section 8, data provided for the period
before 1918 represent observations from a single gauge per lake. NOAA corrected pre-1918 data for
Lakes Superior and Erie to represent outlet water levels. NOAA averaged observations from multiple
gauges per lake in the data from 1918 to present, using the standard set of gauges described in Section
5.
In Figure 1, water level data are presented as trends in anomalies to depict change over time. An
anomaly represents the difference between an observed value and the corresponding value from a
baseline period. This indicator uses a baseline period of 1981 to 2010, which is consistent with the 30-
year climate normal used in many other analyses by NOAA and others in the scientific community. The
choice of baseline period will not affect the shape or the statistical significance of the overall trend in
anomalies. In this case, a different baseline would only move the time series up or down on the graph in
relation to the point defined as zero. Water level anomalies were converted from meters to feet. The
lines in Figure 1 show the annual average for each lake, while the shaded bands show the range of
monthly values within each year.
Surface Water Temperatures
Surface water temperature observations are provided daily by satellite imagery. The left side of Figure 2
shows annual averages, which were calculated using arithmetic means of the daily satellite data. The
right side of Figure 2 shows the pattern of daily average satellite-based temperatures over the course of
a year. To examine recent changes, Figure 2 compares average daily conditions from the most recent
decade with average daily conditions from the first full decade of data (1995-2004). All temperatures
were converted from Celsius to Fahrenheit to make them consistent with all of EPA's other
temperature-related indicators.
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General Notes
EPA did not attempt to interpolate missing data points. This indicator also does not attempt to portray
data beyond the time periods of observation or beyond the five lakes that were selected for the
analysis.
7. Quality Assurance and Quality Control
Water Levels
Lake-wide average water levels are calculated using a standard set of gauges established by the
Coordinating Committee for Great Lakes Basic Hydraulic and Hydrologic Data in 1992. Data used in this
indicator are finalized data, subject to internal quality assurance/quality control (QA/QC) standards
within NOAA/NOS and CHS. Each gauge location operated by NOAA houses two water level sensors: a
primary sensor and a redundant sensor. If data provided by the primary and redundant sensors differ by
more than 0.003 meters, the sensors are manually checked for accuracy. In addition, a three standard
deviation outlier rejection test is applied to each measurement, and rejected values are not included in
calculated values.
Surface Water Temperatures
NOAA's National Data Buoy Center, which collects the buoy surface temperature observations, follows a
comprehensive QA/QC protocol, which can be found in the Handbook of Automated Data Quality
Control Checks and Procedures:
www.ndbc.noaa.gov/NDBCHandbookofAutomatedDataQualitvControl2009.pdf.
Satellite observations of surface temperature are subject to several QA/QC measures prior to
publication. All satellite data are validated by NOAA personnel. Following this step, an automated
algorithm flags and excludes temperatures not within the normal range of expected temperatures,
correcting for processing errors in the original satellite data. Finally, multiple cloud masks are applied to
both day and night satellite imagery so that the final product includes only completely cloud-free data.
An additional algorithm is used to correct for missing pixels. Two iterations of this algorithm are
described in a presentation entitled "Overview of GLSEA vs. GLSEA2 [ppt]" at:
https://coastwatch.glerl.noaa.gov/glsea/doc.
Analysis
8. Comparability Over Time and Space
Water level observations prior to 1918 have been processed differently from those collected from 1918
to present. Prior to 1918, there were fewer water level gauges in the Great Lakes. As such, values from
1860 to 1917 represent one gauge per lake, which may not represent actual lake-wide average water
levels. Corrections to data have been made to allow comparability over time. These corrections include
adjustments due to the slow but continuing rise of the Earth's crust (including the land surface and lake
bottoms) as a result of the retreat of the ice sheets after the last glacial maximum (commonly referred
to as the last ice age), as well as adjustments to account for the relocation of gauges. For more
discussion about these corrections, see: www.glerl.noaa.gov/data/now/wlevels/levels.html.
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Satellite temperature observations have been made systematically since 1992, allowing for
comparability over time. This indicator starts in 1995, which was the first year with complete coverage
of all months of the year for all lakes.
9.	Data Limitations
Factors that may impact the confidence, application, or conclusions drawn from this indicator are as
follows:
1.	Besides climate change, natural year-to-year variability and other factors such as human activity
(e.g., land use and development) and contamination can influence water temperatures.
2.	Satellite data are only available starting in 1992, and the years 1992-1994 were missing data in
winter months. Thus, Figure 2 starts at 1995. Although hourly temperature data have been
collected from moored buoys since 1980 in most of the Great Lakes, these data contain wide
gaps for a variety of reasons, including scheduled maintenance, sensor malfunctions, and
natural elements (e.g., winter conditions). These data gaps prevent reliable and consistent
annual averages from being calculated from buoy data.
3.	Since the first water level gauges were installed in 1860, several major engineering projects have
been undertaken to modify the Great Lakes basin for use by cities and residents in the area. The
most prominent of these have been the dredging efforts in the St. Clair River, which connects
Lakes Michigan and Huron to Lake St. Clair, to support commercial navigation. At least some of
the decrease in water levels in Lake Michigan and Lake Huron has been attributed to this
dredging. Specifically, the St. Clair river opening was enlarged in the 1910s, 1930s, and 1960s,
contributing to greater outflows from Lakes Michigan and Huron (Quinn, 1985). Similar projects
have also occurred in other areas of the Great Lakes basin, although they have not been linked
directly to changes in lake water levels.
4.	In addition to changes in channel depth, recent studies have found that dredging projects
significantly increased the erosion in channel bottoms. The combination of dredging and erosion
is estimated to have resulted in a 20-inch decrease in water levels for Lakes Michigan and Huron
between 1908 and 2012 (Egan, 2013).
10.	Sources of Uncertainty
Individual water level sensors are estimated to be relatively accurate. The gauges have an estimated
accuracy of ±0.006 meters for individual measurements, which are conducted every six minutes, and
±0.003 meters for calculated monthly means (NOAA, 2020). In the instance of sensor or other
equipment failure, NOAA does not interpolate values to fill in data gaps. Because data gaps are at a
small temporal resolution (minutes to hours), however, they have little effect on indicator values, which
have a temporal resolution of months to years.
Surface water temperature observations from satellites are subject to navigation, timing, and calibration
errors. An automated georeferencing process was used to reduce navigation errors to 2.6 kilometers.
When compared with buoy data, for reference, satellite data from the pixel nearest the buoy location
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differ by less than 0.5°C. The root mean square difference ranges from 1.10 to 1.76°C with correlation
coefficients above 0.95 for all buoys (Schwab et al., 1999).
11.	Sources of Variability
Water levels are sensitive to changes in climate, notably temperature (affecting evaporation and ice
cover) and precipitation. Natural variation in climate of the Great Lakes basin will affect recorded water
levels. In addition to climate, water levels are also affected by changing hydrology, including dredging of
channels between lakes, the reversal of the Chicago River, changing land-use patterns, and industrial
water usage. However, the long time span of this indicator allows for an analysis of trends over more
than a century. Water withdrawals could also influence water levels, but arguably are not as influential
as climate or dredging because nearly all (95 percent) of the water withdrawn from the Great Lakes is
returned via discharge or runoff (Environment Canada and U.S. EPA, 2009).
Surface water temperature is sensitive to many natural environmental factors, including precipitation
and water movement. Natural variations in climate of the Great Lakes basin will affect recorded water
temperature. In addition to climate, water temperature is also affected by human water use. For
example, industries have outflows into several of the Great Lakes, which may affect water temperatures
in specific areas of the lake.
12.	Statistical/Trend Analysis
Water Levels
Multivariate adaptive regression splines (MARS) (Friedman, 1991; Milborrow, 2012) were used within
each lake to model non-linear behavior in water levels through time. The MARS regression technique
was used because of its ability to partition the data into separate regions that can be treated
independently. MARS regressions were used to identify when the recent period of declining water levels
began. For three of the four Great Lakes basins (Michigan-Huron, Erie, and Superior), 1986 marked the
beginning of a distinct, statistically significant negative trend in water levels. The MARS analysis suggests
that water levels in Lake Ontario have remained relatively constant since the late 1940s.
To characterize the extent to which recent water levels represent deviation from long-term mean
values, EPA used t-tests to compare recent average water levels (2011-2020) against long-term
averages (1860-2020). None of the lakes had a difference that was statistically significant to a 99
percent level (p < 0.01) for a two-tailed t-test, though Lake Erie's recent difference in water levels
(higher than the long-term mean) was significant to a 95 percent level.
Surface Water Temperatures
Table TD-2 below shows the slope, p-value, and total change from an ordinary least-squares linear
regression of each lake's satellite-based annual average temperature, starting in 1995. The increasing
temperature trends for Lake Erie and Lake Ontario are significant to a 95 percent level.
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Table TD-2. Linear Regression of Annual Average Temperature Data, 1995-2020

Slope
(°F/year)
P-value
Total change (°F)
(slope x 25 years)
Erie
0.064
0.035
1.596
Huron
0.058
0.116
1.451
Michigan
0.048
0.269
1.202
Ontario
0.080
0.042
2.009
Superior
0.044
0.352
1.106
For the daily temperature graphs on the right side of Figure 2, paired t-tests were used to compare the
most recent decade of average daily surface water temperature (2011-2020) against the first decade
(1995-2004). Significance testing for all five lakes showed highly significant differences between the two
time periods (p < 0.0001).
References
Egan, D. 2013. Does Lake Michigan's record low mark beginning of new era for Great Lakes? Milwaukee
Journal Sentinel. July 27, 2013.
Environment Canada and U.S. EPA (U.S. Environmental Protection Agency). 2009. State of the Great
Lakes 2009. http://binational.net/wp-content/uploads/2014/ll/Enl61-3-l-2009E.pdf.
Friedman, J.H. 1991. Multivariate adaptive regression splines. Ann. Stat. 19(l):l-67.
Gronewold, A.D., V. Fortin, B. Lofgren, A. elites, C.A. Stow, and F. Quinn. 2013. Coasts, water levels, and
climate change: A Great Lakes perspective. Climatic Change 120:697-711.
Milborrow, S. 2012. Earth: Multivariate adaptive regression spline models. Derived from mda:mars by
Trevor Hastie and Rob Tibshirani. R package version 3.2-3. https://cran.r-
proiect.org/web/packages/earth/index.html.
NOAA (National Oceanic and Atmospheric Administration). 2020. Environmental measurement systems:
Sensor specifications and measurement algorithms. National Ocean Service, Center for Operational
Oceanographic Products and Services. https://tidesandcurrents.noaa.gov/publications/CO-
OPS Measurement Spec.pdf.
Quinn, F.H. 1985. Temporal effects of St. Clair River dredging on Lakes St. Clair and Erie water levels and
connecting channel flow. J. Great Lakes Res. ll(3):400-403.
Schwab, D.J., G.A. Leshkevich, and G.C. Muhr. 1999. Automated mapping of surface water temperature
in the Great Lakes. J. Great Lakes Res. 25(3):468-481.
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