Multiple Linear Regression Analysis for Lake Ice and Lake Temperature Characteristics

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Multiple Linear Regression Analysis for Lake Ice and Lake Temperature Characteristics

Published Date

1998-06

Publisher

St. Anthony Falls Laboratory

Type

Report

Abstract

Lake ice and lake temperature characteristics are all dependent on climate and morphometric lake characteristics. Simulation results of water temperature and ice characteristics of ten large lakes in Minnesota (Gao and Stefan, 1997) were used for multiple linear regressions. Some equations were obtained for predicting lake ice and lake temperature characteristics from climate parameters, geographic location, lake surface area and depth. Some of these regression equations were employed to predict the ice~on dates, ice~off dates, ice cover duration, and maximum ice thicknesses for several freshwater lakes in the U.S. and Canada. The predictions were also compared with observed data, which were assembled by Adams and Stefan (1997). The results show that the predictions by regression equations were in good agreement with the observed data. The standard errors between observed and predicted ice-on dates, ice-off dates, ice cover duration, and maximum ice thicknesses range from 4 to 7 days, 6 to 10 days, 7 to 10 days, and 0.06 to 0.13 m, respectively. Because the ten lakes used to do the multiple linear regressions are all in Minnesota, and the lakes used to verify the regression equations are in the northern u.s. and one in Canada, the regression equations are considered only applicable to lakes in the northern U.s. and southern Canada.

Keywords

Description

Related to

Replaces

License

Collections

Series/Report Number

Funding information

US Environmental Protection Agency, Office of Research and Development; Minnesota Department of Natural Resources

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Gao, Shaobai; Stefan, Heinz G.. (1998). Multiple Linear Regression Analysis for Lake Ice and Lake Temperature Characteristics. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/112983.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.