Eugene S. Take, Departments of Agronomy and Geological and Atmospheric Sciences, Iowa State University; Tsing-Chang Chen, Geological and Atmospheric Sciences


Tower data from two towers in Central Iowa are used to study tower biases and to observe if there is a wind turbine influence. Using statistical analysis to identify if there is a clear observation of one tower warmer or colder at levels based on conditions of the wind turbine influence. By highlighting outliers of large temperature gradients between the towers, this can identify how the meteorological towers respond to the passages of large frontal passages and other synoptic conditions. Evidence in some cases of turbine influence includes warming of a layer at night, correspondingly a cooling during the day. Unmixed/Undisturbed regions of the wind field show little difference of temperature between the towers.

Copyright Owner

Mitchell J. Morehead