An Experimental Investigation of Evapotranspiration Estimation Methods
Loading...
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
An Experimental Investigation of Evapotranspiration Estimation Methods
Alternative title
Authors
Published Date
1982-11
Publisher
Water Resources Research Center, University of Minnesota
Type
Newsletter or Bulletin
Abstract
Using meteorological data collected during the 1978, 1979, and 1980 growing seasons at St. Paul, Minnesota, estimates of daily potential evapotranspiration were made using thirteen different calculation methods. These estimates were then compared to measurements of actual evapotranspiration from a cropped surface obtained from the University of Minnesota's weighing lysimeter. The crop was soybeans in 1978 and 1979, and alfalfa in 1980.
Simpie linear regression techniques were used to compare the estimated and measured values of evapotranspiration. Scatter plots showing the relationships between the predicted and observed values and histograms of the differences between the two are presented. Summary statistics for each regression and set of difference values are reported.
It was found that pan evaporation was most successful at predicting daily evapotranspiration. The methods which combine energy balance and aerodynamic functions were the next best, followed by the methods using radiation and temperature as inputs. The methods based on temperature alone performed most poorly.
Keywords
Description
Related to
Replaces
License
Collections
Series/Report Number
WRRC Bulletin
112
112
Funding information
Water Resources Research Center
Isbn identifier
Doi identifier
Previously Published Citation
Baker, Donald G. Ljungkull, Jon Eric. 1982. An Experimental Investigation of Evapotranspiration Estimation Methods. Water Resources Research Center.
Other identifiers
Suggested citation
Baker, Donald G.; Ljungkull, Jon Eric. (1982). An Experimental Investigation of Evapotranspiration Estimation Methods. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/92906.
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.