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Ed has 4 primary research areas, all tied together by his fundamental interest in turbulent transfer processes in the atmospheric boundary layer.
These 4 areas:
- air-sea interaction and the effects of sea spray on air-sea heat, moisture, and momentum transfer (JPO_2008_Spray.pdf)
- polar meteorology and air-sea-ice interaction (ISW_Simul.pdf)
- scintillation & electro-optical propagation in the atmospheric boundary layer (Prob_Dist.pdf)
- fundamental turbulence issues such as Monin-Obukhov similarity theory, fluid dynamics, time series and spectral analysis, and measurement physics (Identifying_Nonstationarity.pdf)
Ed has done theoretical work and modeling in all 4 areas; his experimental work has concentrated on the 2nd, 3rd, and 4th areas. The following figures are from some of Ed's field projects...fig. 1 | fig. 2 | fig. 3 |
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Larry Mahrt is analyzing new data from networks of fast response wind
sensors to
study the time-space relationships of mesoscale motions in the stable
nocturnal boundary layer, their horizontal
transport and their influence on turbulence. With weak winds and strong
nocturnal stratification,
contaminants may locally reach high concentrations due to very weak
vertical mixing.
The example animation, based on the CASES99 network for
a 30-minute period, shows simulated particles released into an observed
wind field.
The blue particles reveal the instantaneous distribution of particles; the smaller white specs show the accumulated particle count
since the beginning of the animation. Due to unpredictable sudden shifts
in the wind direction, the accumulated particle distribution tends to be
concentrated in three streaks.
Additional animations can be found at http://moonset.coas.oregonstate.edu/ by clicking on "animations". |
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Insight into complex atmospheric dynamics often derives from the study of reduced models. David Schecter (Seattle Division) is currently investigating the mechanisms by which chaotic flows self-organize in 3-layer atmospheres that include basic representations of cumulus convection and air-sea interaction. Knowledge gained from this study will contribute to our understanding of how and why climate variation may affect hurricane formation, intensity and frequency.
The attendant figure illustrates the evolution of quasi two-dimensional (2D) turbulence in the lower troposhere of a reduced model with tropical parameters. Bright and dark shades represent positive and negative values of relative vorticity; the color-map in each plot is recentered and rescaled to span the instantaneous extremes. Ideal 2D processes, such as vortex merger and filamentation, control the early stage of flow development. In time, deep cumulus convection (regulated by air-sea interaction) transforms a few distinguished cyclones into hurricanes. These hurricanes eventually merge and generate peripheral filaments, which provide the seeds for future convective votices. One of our goals is to better understand the interplay between cumulus convection and 2D mechanisms of self-organization. This work is supported primarily by NSF grant ATM-0750660, entitled "Diabatic Ekham Turbulence." |
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