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While most micrometeorological measurement techniques are only suitable for windy conditions, the Nocturnal Boundary Layer Technique can be used to measure trace gas flux during calm, clear nights as the nighttime stability enables gas emitted at the ground to accumulate. The difference between two measurements over the whole depth of this layer is believed to integrate emissions from a large area representative of, in this study, an agricultural farm. A tethersonde and infrared gas analyzer attached to a blimp carrying a bag sampling system monitored atmospheric variables for each ascent during two summer field campaigns. A mini-SODAR was installed in the field to obtain the wind flowfield. Strong accumulation was observed under low level jets suggesting that this feature acts as a good lid for trace gases. An average background vertical motion different from zero seemed to have more influence on gas propagation than did intermittent turbulence. On at least one night, a density current created by the nearby St-Lawrence River was observed to influence measurements.

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Conditional sampling techniques were used to analyze airbourne carbon dioxide and water vapour flux traces recorded during the FIFE experiment. Two analysis methods based on quadrant analysis were used to isolate and examine extreme contributions to estimates of the mean flux. The first method was a graphical analysis based on 'hyperbolic holes'. This method was used to attain the result that 80% of the flux-fraction is carried by 20% of the time-fraction. The second method, based on quadrant analysis, permitted the distinction of physical structures which are thought to represent the signatures of turbulent flux structures such as eddies or thermals. Overall results indicate that mean flux estimates over the FIFE site are dominated by a very few intermittent extreme events.

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The aim of this study is to compare observational data to data simulated by a one dimensional model. Observational data collected from January to July 2006 at Lake Whitney, Texas, included water current velocities from an Acoustic Doppler Current Profiler, and an Acoustic Doppler Velocimeter from which shear stress, turbulent kinetic energy dissipation rates, and turbulence kinetic energy were computed using several methods. Numerical model experiments, forced by the surface heat and momentum fluxes, velocity profiles, and temperature profiles were conducted to simulate the development of the turbulence parameters. Two equation models, k-epsilon and k-kl, were used to find which model best describes the observed physical processes (turbulence kinetic energy, turbulent kinetic energy dissipation rate and velocity variances). The combined observational and simulated results show a change in stratification levels that consequently leads to variations in turbulent kinetic energy dissipation rate, turbulent kinetic energy, and the velocity variances. In order to investigate the accuracy of the model, we quantitatively compared these parameters to estimates from the observed data in the bottom boundary layer. In general, the model and observational data agree well for the three parameters, with the exception of some time periods, during which the model prediction differed from the observed. This was at times when the Acoustic Doppler Velocimeter measurements were at the noise level of the instrument. Overall, the k-kl model simulation results appear to be closer to the observational results during the weakly and strongly stratified periods than the k-epsilon model.