Passive remote sensing of the atmospheric boundary layer in Colorado's
East River Valley during the seasonal change from snow-free to
snow-covered ground
Abstract
The structure and evolution of the atmospheric boundary layer (ABL)
under clear-sky fair weather conditions over mountainous terrain is
dominated by the diurnal cycle of the surface energy balance and thus
strongly depends on surface snow cover. We use data from three passive
ground-based infrared spectrometers deployed in the East River Valley in
Colorado’s Rocky Mountains to investigate the response of the thermal
ABL structure to changes in surface energy balance during the seasonal
transition from snow-free to snow-covered ground. Temperature profiles
were retrieved from the infrared radiances using the optimal
estimation physical retrieval TROPoe. A nocturnal surface inversion
formed in the valley during clear-sky days, which was subsequently mixed
out during daytime with the development of a convective boundary layer
during snow-free periods. When the ground was snow covered, a very
shallow convective boundary layer formed, above which the inversion
persisted through the daytime hours. We compare these observations to
NOAA’s operational High-Resolution-Rapid-Refresh (HRRR) model and
find large warm biases on clear-sky days resulting from the model’s
inability to form strong nocturnal inversions and to maintain the stable
stratification in the valley during daytime when there was snow on the
ground. A possible explanation for these model shortcomings is the
influence of the model’s relatively coarse horizontal grid spacing (3
km) and its impact on the model’s ability to represent well-developed
thermally driven flows, specifically nighttime drainage flows.