H124-02
Seasonal upwelling patterns drive water quality heterogeneity in the nearshore of a deep lake
Abstract:
We use a distributed set of temperature measurements from the perimeter of seasonally stratified Lake Tahoe (four years of 30-second data at 8 sites; 2015-2018) to validate upwelling estimates derived from wind data and bi-weekly profiles from the pelagic zone of the lake. Cross-lake temperature differences are well predicted in space and time by a non-dimensional upwelling parameterization. This parameterization is applied to 16 years (2003-2018) of stratified-season lake profile and wind data to characterize the seasonality and magnitude of upwelling in each quadrant of the lake. Prevailing southwesterly winds combine with comparatively weak late-spring and early-summer stratification to drive regular west/southwest shore upwelling, with the median May/June season seeing over 150 hours of full upwelling conditions. This consistent seasonal pattern explains average June temperatures that are more than 2°C colder on the west shore than on the east shore. Late-spring/early-summer upwelling events are rarely large enough to increase littoral nitrate concentrations; only two of the sixteen study years saw events that would be expected to double the extremely low baseline nitrate concentrations (about 2 μg/L). Toward the end of the stratified season, upwelling is less common due to the stabilizing effect of a deep surface-mixed layer. However, strong winds associated with the occasional late-fall/early-winter storm can drive large magnitude upwelling events that may increase littoral nitrate concentrations.