Investigation into the relationship of higher air temperatures and wind and wave events on Lake Michigan

by Dave Huwe, CEE 514 Coastal Engineering Student, Fall, 2006

Table of Contents

Motivation

Data Source

Analysis

Wave Hindcasting

Conclusion

Motivation

We have studied the calculations used to find the recurrence intervals of wind and wave events.It seems natural to ask “Do these calculations apply during a time of climate change?”So I studied a historical record to determine if we can expect the recurrence intervals of wind and wave events will continue to be relevant as temperatures rise.

Data Source

The source of the wind data I used is National Data Buoy Center Moored Buoy 45007.The information about this buoy, including the photo and graphic I have used, and the data it has collected are available at:http://www.ndbc.noaa.gov/station_page.php?station=45007.


 
Photo of NDBC Moored Buoy 45007
Map showing location of NDBC Moored Buoy 45007

The average wind speed collected by this buoy is taken once an hour, averaged over eight minutes.The buoy’s anemometer is 5 meters over the surface of Lake Michigan, so we’ll call the average wind speeds from the buoy U5.The Buoy has data collected for the years 1981 to the present, but 2005 and 2006 feature some pretty funny numbers and I have not included them in my data set.

Deployment and Recovery Dates for Buoy 45007
 
Year
Deployed
Recovered
1981
7/15
12/11
1982
3/22
8/12
1983
3/16
11/22
1984
3/21
11/20
1985
4/4
12/20
1986
5/6
11/20
1987
3/21
11/11
1988
3/24
12/6
1989
3/27
11/15
1990
4/25
11/5
1991
4/1
10/23
1992
3/23
11/7
1993
3/30
11/10
1994
3/28
11/10
1995
3/25
11/13
1996
3/28
12/11
1997
3/22
11/23
1998
3/24
12/12
1999
3/11
12/7
2000
3/14
12/7
2001
3/20
12/7
2002
3/1
12/10
2003
4/1
12/9
2004
3/24
12/8
2005
3/21
12/3
2006
3/22
10/31

The Air Temperature Data I used is a rolling, twelve-month average of the air temperature over Lake Michigan.

Analysis

I have sorted the data by the rolling, twelve-month average air temperature, to the tenth of a Celsius degree.I have shown the percentage of days with high events (U5 >= 15.0 m/s) and very high events (U5 >= 17.0 m/s) for each average temperature.We see a fairly even distribution of wind events for temperatures between 6.3 and 9.5?C, ranging from 0 to 5%.For months with rolling, twelve-month average temperatures of 9.9 and 10.0?C, however, we see 13% of the days with high or very high wind events.

WaveHindcasting

Below, I have included calculations of hindcasted wave heights corresponding to sample wind speeds from they buoy, using the JONSWAP method.

First we’ll look at the wind from March 25, 2002, when we had a peak average U5 of 15.0 m/s from a heading of 12?, sending waves straight towards GaryIN.

First, calculate for the peak wind speed.

1 Hr of Max U10

U515.0 m/s

U1016.6 m/s

F = 315 km

td1 hr

F* = 11,214

t* = 2,127

F*eff172

F* > F*eff: Duration limited

H*s = 0.0210

Hs0.59 m

Next, we’ll take a longer stretch of time, with a lower average wind speed, to get a fetch-limited wave.

18 hours of U10 >= 12.9 m/s

U511.7 m/s

U1012.9 m/s

F = 315 km

td18 hr

F* = 18,570

t* = 49,278

F*eff19,169

F*eff > F*:Fetch limited

H*s = 0.2215

Hs3.76 m

Secondly, we’ll look at the wind of November 2, 1992.This day featured a peak average U5 of 11.7 from a heading of 87?, heading for Milwuakee.Again, we’ll calculate an hour of the peak average wind speed and a length of time long enough to force us into fetch-limited waves.

1 Hr of Max U10

U517.4 m/s

U1022.2 m/s

F = 105 km

td1 hr

F* = 2,090.03

t* = 1,590.81

F*eff111.18

F* > F*eff: Duration limited

H*s = 0.0169

Hs0.85 m

8 hours of U10 >= 20.0 m/s

U515.8 m/s

U1020.0 m/s

F = 105 km

td8 hr

F* = 2,575

t* = 14,126

F*eff2,942.15

F*eff > F*:Fetch limited

H*s = 0.0868

Hs3.54 m

Conclusion

The conclusion we can draw from the temperature-wind relationship is that calculation of recurrence intervals for periods featuring temperatures higher than those on record will be very challenging, due to the apparent non-linear nature of the temperature – storm frequency relationship.Clearly, we should have a larger data record (more sites, data for the entire year, data going back to pre-industrial revolution years) before making any changes to the recurrence interval calculations.