A deterministic, validated, one-dimensional, unsteady-state lake water
quality model was linked to a daily weather data base to simulate dai
ly water temperature profiles in lakes over a period of twenty-five (1
955-79) years. Twenty seven classes of lakes which are characteristic
for the north-central U.S. were investigated. Output from a global cli
mate model (GISS) was used to modify the weather data base to account
for a doubling of atmospheric CO2. The simulations predict that, after
climate change, epilimnetic temperatures will be higher but increase
less than air temperature, hypolimnetic temperatures in seasonally str
atified dimictic lakes will be largely unchanged or even lower than at
present, evaporative water loss will be increased by as much as 300 m
m for the season, onset of stratification will occur earlier and overt
urn later in the season, and overall lake stability will become greate
r in spring and summer.