The nonlinear regression model developed by Mohseni et al.  and modified
by Erickson et al. [l998a], was applied to weekly stream temperatures from 584 stream
gaging stations in the US. On average, there were 12 years of record per gaging station in
the US Geological Survey database. The revised model gave slightly smaller Nash~
Sutcliffe Coefficients (0.91 ± 0.08 on average) than the original model [Mohseni et al.,
1998] (0.93 ± 0.06 on average). Highest stream temperatures simulated with the
modified model were, however, more realistic which is essential to any projection of
stream temperature effects on ecosystems under 2xC02 climate conditions.
The stream temperature model has four model parameters; their dependence upon
geographical factors was investigated. No relationship between latitude and the upper
bound of weekly stream temperatures was evident, except in the Midwest. The lower
bound of weekly stream temperatures was about 0 °c for most of the continent, except in
the South and Southeast. A weak relationship was found between model parameters mean seasonal air temperatures. It is, therefore, less likely that model parameters would
change under a warmer climate condition as has been projected by general circulation
models under a 2xC02 climate scenario.
Grazing Lands Research Laboratory, US Department of Agriculture; Mid-Continent Ecology Division, US Environmental Protection Agency
Mohseni, Omid; Erickson, Troy R.; Stefan, Heinz G..
Projection of Climate Change Effects on Stream Temperatures in the U.S..
St. Anthony Falls Laboratory.
Retrieved from the University of Minnesota Digital Conservancy,
Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.