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Spotlight

Scott Speckart

Scott Speckart

Hometown: Salt Lake City

Program: PhD (Graduated December 2013)

Current Position: Air Dispersion Modeler, Nevada Division of Environmental Protection

Research Interests: My interests include: the examination of atmospheric dispersion both numerically and experimentally. The numerical aspect spans from Lagrangian dispersion models to simpler Atmospheric dispersion models (ADE). Comparing these model results with measurements from the field is very rewarding. My research has implemented these models and methodology to understanding the problem of near source deposition of PM10 generated from traffic on unpaved roads.

I am also interested in the modeling of turbulence. This includes the implementation of simple mixing length models to more complex Large Eddy Simulation (LES). The application of these methods Atmospheric flows to smaller scale engineering flows is of great interest to me.

Publications:
Speckart, S., Pardyjak, E., Quick response modeling of windbreaks (Manuscript under preparation).
Speckart, S., Pardyjak, E., Veranth J.V., Parameters that influence the removal of PM10 in the near source zone downwind of unpaved roads: suggested by field studies and confirmed by numerical solution (Manuscript under preparation).
Holmes, H.A., Pardyjak, E.R., Speckart S.O., Alexander A., 2011. Comparison of indoor/outdoor carbon content and time resolved PM concentrations for gas and biomass cooking fuels in Nogales Sonora. Atmospheric Environment 45:7600-7611
Pardyjak, E.R., Speckart, S. O., Yin F., Veranth J.M., 2008. Near source deposition of vehicle generated fugitive dust on vegetation and buildings: Model development and theory. Atmospheric Environment 42: 6442–6452
J. Veranth, S. Speckart, B. Addepelli, and E. Pardyjak, 2010: Development of windbreak dust control models for roadway fugitive dust mitigation and transport flux, AAAR 29th Annual Conference, Portland, OR, 25-29 October 2010. Paper Number: 8.B.16
John M. Veranth, Kevin Perry, Eric Pardyjak, Scott Speckart, Raed Labban, Erin Kaser, John Watson, Judy C. Chow, Vic Etyemezian, Steve Kohl, “Characterization of PM2.5 Dust Emissions from Training/Testing Range Operations." Strategic Environmental Research and Development Program (SERDP) Project SI-1190 August 2008)
John Veranth, Scott Speckart, Eric Pardyjak, “Experimental and modeling study of particle deposition near roads.” (American Association for Aerosol Research (AAAR) Reno Nevada, September 2007)
H.A. Holmes, S. O. Speckart and E. R. Pardyjak, 2007: Comparison of the time evolved spatial distribution of urban PM2.5 concentrations during burning and wind-blown high PM events in Yuma, AZ, Amer. Meteor. Soc., Seventh Symposium on the Urban Environment, San Diego, CA, 10-13 September 2007, paper 8.5.
Eric Pardyjak, Prathap Ramamurthy, Scott Speckart, “Development of a windbreak dust control strategy tool for communities in arid climates such as the US-Mexico border region.” (Southwest Consortium for Environmental Research and Policy (SCERP) Annual Technical Conference, Tucson Arizona, December 2006)
Eric Pardyjak, Scott Speckart, “Assessment of windbreaks as a dust control strategy for communities in arid climates such as the US-Mexico border region.” (Southwest Consortium for Environmental Research and Policy (SCERP) Annual Technical Conference, San Diego January 2006)
Veranth , J., S. Speckart, E. Pardyjak, V. Etyemezian, Experimental and numerical studies of near source fugitive dust transport, American Association for Aerosol Research, 2005 Annual Conference, Austin, Texas October 17 - 21, 2005.
Scott Speckart, Eric Pardyjak, Vic Etyemezian, Fang Yin, John Veranth,” Computational Modeling of Near-Source Deposition of Fugitive Dust on Vegetative Surfaces.” (Air and Waste Management Association Conference, Minneapolis Minnesota, June 2005)

MATHERHORN PRESS RELEASE - June 3, 2013

alternate textPhoto collage from the Fall MATERHORN Campaign compiled courtesy of professor Stephan DeWekker, University of Virginia.

MATERHORN Field Studies Delve into Scale Intricacies of Mountain Weather

On May 31st, 2013, investigators of the Mountain Terrain Atmospheric Modeling and Observations (MATERHORN) Program successfully completed two unique field campaigns focusing on meteorological phenomena with time scales from a few seconds to hours, and covering spatial extents of tens of kilometers down to millimeters. Mountain weather can evolve dramatically over different scales, and the MATERHORN Program capitalized on its access to the Granite Mountain Atmospheric Sciences Test Bed (GMAST) of the US Army Dugway Proving Ground (DPG) to maximize these scale ranges in a sheltered, yet completely natural setting. A bevy of participants filled the GMAST with high-end instrumentation, making these two campaigns perhaps the most extensive mountain terrain field experiments conducted hitherto in terms of instrumentation and scope. The fall experiments (September 25 to October 31, 2012) focused on quiescent fair weather (wind speeds < 5 m/s) wherein diurnal heating/cooling provided main forcing. The spring study, begun on May 1 and only just completed on May 31st, dealt with larger, synoptic flow effects, moister surface conditions, and covered mostly moderate (5 to 10 m/s) and strong (> 10m/s) wind periods.

Field experiments are a key component of MATERHORN’s principle thrusts (Modeling, Experimental, Technology and Parameterization) that are symbiotically directed at improving weather predictions in complex terrain. A Multidisciplinary University Research Initiative (MURI) grant from the Office of Naval Research provides the main funding for MATERHORN, with University of Notre Dame (lead), University of California (Berkeley), Naval Postgraduate School, University of Utah and University of Virginia as grantees. A number of additional US and foreign institutions joined MATERHORN, leveraging alternative funding sources, mainly the Army Research Office and Air Force Weather Office (http://www.nd.edu/~dynamics/materhorn).

The field studies were designed using guidance from the WRF Model. Background meteorology was characterized via radiosonde launches (at 7 locations), 6 ceilometers, 3 Sodars, a Sodar/RASS, a wind profiler, two microwave radiometers, a FM/CW radar and a C-Band Doppler Radar. An array of 51 Portable Weather Instrumentation Data Systems (PWIDs), 31 Surface Atmospheric Measurement Systems (SAMS) and 51 MiniSAMS recorded the wind patterns in GMAST at kilometer and sub-kilometric scales, and two sets of tethered balloons measured the vertical profiles up to several kilometers at a meter scale resolution. Moisture was probed at km scales via two newly developed RF crosshairs (surface), microwave radiometers (vertical profiles) and infrared gas analyzers (fluxes). Three Doppler Lidars scanned dynamic regions around the mountain, each covering a hemisphere of about 1 km. At times, Lidars were coordinated to a triple Lidar mode to form virtual towers. Swaths along preferred slopes as well as a valley and canyons were instrumented with twenty sonic flux towers (10 to 32 m high), a series of 17 HOBO® weather stations and 17 Local Energy-balance Measurements Stations (LEMS). A fiber optic distributed temperature system (DTS) was deployed over a 2 km track of the most highly instrumented slope, which provided near surface measurements on meter and seconds scales. Five surface energy budget stations were deployed for evaluating land-surface schemes used for modeling. Detecting the smallest scales of turbulence that dissipates turbulent kinetic energy were two hot-wire stations, one dedicated to near surface turbulence and the other in the surface layer. High-speed IR imagery was used to characterize the effects of shadow fronts on slope flow formation and to correlate with turbulent fluxes over the desert playa. Manned Navy Twin Otter flights with Doppler Wind Lidar (TODWL) and unmanned aerial vehicles crisscrossed GMAST vertically and horizontally during selected periods. Elaborate multiple smoke releases helped visualize flow streak lines associated with the complex mountain flow physics.

Each campaign included ten Intensive Observational Periods (IOPs) where all instruments operated in coordination. The fall study included six IOPs with quiescent fair weather, the rest with moderate and strong winds. Nine IOPs of the spring experiment had either moderate or strong winds and were associated with higher moisture levels. An ensemble of numerical modeling (WRF ensembles, NAM, and GFS models) and satellite products guided the selection of IOP days via weather briefing provided by DPG forecasters.

A quick glance at data promises possible uncovering of new sub-meso phenomena triggered by flow interactions at disparate scales and even the upscale energy transfer. Although flow surrounding Granite Peak is considered nominally simple, the canonical up and down slope/valley flows existed only for short time, only to be overshadowed by those arriving from nearby mountains, basins, canyons, ravines and gullies. Overflowing cold pools from one basin to another through gaps produced expanding ‘thermal rivers’ and distorted dipolar eddies, which can be central to corridors of fog formation, turbidity and low visibility. In particular, existing meso-scale models fail to capture essentials of these interactions, as they occur in relatively thin layers, such as fronts between flows, interfaces between layers of different densities and instabilities that affect a range flow scales. Collisions of disparate katabatic flows appeared to produce enhanced shear, sporadic turbulence and even solitary waves near the ground. Katabatic currents are ‘shaved off’ by overlying skewed flows originating from nearby topographies. At times, katabatic flows were lifted above denser currents undercutting from below, and all interactions occurred on sub-kilometer scales. Thin, extremely strong, thermally forced near surface meso-scale jets developed over the west desert playa, producing intense turbulence in the lowest levels of the atmosphere. Existing flux parameterizations in models ignore such ephemeral yet energetic episodes. Synoptic flow effects may wipe out thermal flows of exposed mountains, but they cannot penetrate those in tandem, thus leaving thermal circulation in the wakes of exposed mountains relevant. As the data processing progresses, many new phenomena and parameterizations are expected to emerge, and field investigators will work synergistically with modelers to decipher mountain terrain weather intricacies and improve their predictions.

And for now, it is clear that not even simplest, loneliest mountains in nature can act alone!