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Florida’s Changing Sea Level

by Professor George A. Maul, Ph.D.

Department of Marine and Environmental Systems, Florida Institute of Technology Report:


(Annotated version)

Key West has the distinction of being the Western Hemisphere’s longest sea level record. It dates back to 1846, and although it has several multi-year gaps, it shows a long-term trend of rising sea level of about +2 mm per year. Records such as those at Key West are a measure of the ocean’s surface relative to fixed survey points on land called benchmarks, and is titled relative sea level (RSL). Changing sea level is a study of the inter-annual trends calculated by a linear least-squares fit to monthly or annual means as shown below for Key West (data from the Permanent Service for Mean Sea Level).

RSL is a combination of several factors including the rise or fall of the sea surface due to variations in salinity and/or temperature, vertical land motion, and changes in currents, winds, barometric pressure, bottom topography, long-period tides, etc. If the land is sinking, RSL will appear to be rising even if the water level isn’t changing height due to the other factors; similarly if the land is rising RSL will fall all other things being equal.

However these very preliminary data paint a general picture for Florida and that is sea level has been rising steadily for at least 160 years, and will most likely continue to do so into the future. Whether or not the rate of rise changes in a changing climate is not known from these data.

Year

Height (mm)

Year

Height (mm)

Year

Height (mm)

Year

Height (mm)

1913

7025

1936

7076

1960

7124

1983

7159

1914

7013

1937

7094

1961

7111

1984

7162

1915

7013

1938

7053

1962

7125

1985

7165

1916

7025

1939

7063

1963

7089

1986

7198

1917

7043

1940

7033

1964

7046

1987

7174

1918

7016

1941

7046

1965

7086

1988

7156

1919

7016

1942

7092

1966

7113

1989

7131

1920

6991

1943

7088

1967

7116

1990

7150

1921

7034

1944

7086

1968

7080

1991

7219

1922

7022

1945

7061

1969

7107

1992

7202

1923

7000

1946

7107

1970

7107

1993

7195

1924

7003

1947

7136

1971

7113

1994

7196

1925

7009

1948

7162

1972

7150

1995

7209

1926

6991

1949

7096

1973

7189

1996

7140

1927

7027

1950

7091

1974

7153

1997

7183

1928

7007

1951

7082

1975

7168

1998

7178

1929

7022

1952

7102

1976

7104

1999

7231

1930

7031

1954

7091

1977

7125

2000

7211

1931

6988

1955

7095

1978

7150

2001

7172

1932

7034

1956

7092

1979

7144

2002

7206

1933

7066

1957

7116

1980

7156

2003

7182

1934

7022

1958

7102

1981

7147

2004

7188

1935

7052

1959

7107

1982

7159

2005

7215

After reading the article above, answer the following questions.

  1. Identify the explanatory and response variables.

  2. Construct a scatter plot of the dataset.

  3. What relationship is revealed by the scatter plot?

  4. Using technology, determine the linear correlation coefficient value.

  5. What type of correlation is present based on the r value?

  6. How strong does this correlation appear to be?

  7. Using technology, determine the linear regression equation.

  8. Using the linear regression equation, predict the sea level in Florida for the year 2010.

  9. Can we use the linear regression equation to predict sea level for 2050?

  10. Why/why not?