Lynn C. Sparling
University of Maryland, Baltimore County
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Featured researches published by Lynn C. Sparling.
Geophysical Research Letters | 1999
Anne M. Thompson; Lynn C. Sparling; Y. Kondo; Bruce E. Anderson; G. L. Gregory; Glen W. Sachse
Distributions of upper tropospheric tracer data on each of the 14 science flights of SONEX (SASS [Subsonics Assessment] Ozone and Nitrogen Oxides Experiment) provide a statistical overview of NO, NOy and fine aerosol variability during SONEX (an aircraft mission conducted in October and November 1997). The wide range of variability of NO from all sources provides a perspective on the aircraft perturbation. Background distributions of NOy are somewhat elevated inside flight corridors relative to outside; fine aerosol and NO/NOy in and out of corridors are similar. The potential vorticity of air sampled during SONEX is low relative to the NAFC (North Atlantic Flight Corridor) as a whole, due either to advection of lower latitude air into the corridor or biases in sampling to avoid the stratosphere. High NO/NOy (>0.4) from fresh lightning and aircraft sources was usually associated with pv much lower than the NAFC as a whole. Air masses identified as tropospheric by a low ozone criterion nevertheless have high pv, a marker for stratospheric air. Thus, stratospheric and surface sources also contribute to overall variability. A statistically robust assessment of the relative aircraft NO contribution during SONEX, based on data alone, is unlikely, given the mixture of other NO sources within which the aircraft signal is embedded. This underscores the need for more data and modeling studies.
Geophysical Research Letters | 2001
Lynn C. Sparling; Julio T. Bacmeister
Thestatisticsoftracervariabilityonsmallscales (< 200 km) is investigated using high resolution aircraft measurements of ozone in the northern winter middle/high latitudes. Conditioning based on potential temperature is used to isolate the statistics of lamentation on isentropic surfacesfromspuriousvariabilityduetocross-isentropicmo- tion of the platform. The distribution of isentropic incre- ments r in the tracer eld across a horizontal scale r have non-Gaussian tails and are consistent with stretched exponential functions of the form P(r)exp(-ajrj p ), where a is a scale-dependent parameter and the exponent p increases overall with r. A scale break in the second order structure function suggests a dissipation scale rd 20 km during northern winter 91-92, but the scale break is closer to 100 km during northern winter 88-89. Possible reasons for this are discussed.
IEEE Transactions on Geoscience and Remote Sensing | 2007
Christopher P. Loughner; D. J. Lary; Lynn C. Sparling; R. C. Cohen; Phil DeCola; William R. Stockwell
Satellite observations have the potential to provide an accurate picture of atmospheric chemistry and air quality on a variety of spatial and temporal scales. A key consideration in the design of new instruments is the spatial resolution required to effectively monitor air quality from space. In this paper, variograms have been used to address this issue by calculating the horizontal length scales of ozone within the boundary layer and free troposphere using both in situ aircraft data from five different NASA aircraft campaigns and simulations with an air-quality model. For both the observations and the model, the smallest scale features were found in the boundary layer, with a characteristic scale of about 50 km which increased to greater than 150 km above the boundary layer. The length scale changes with altitude. It is shown that similar length scales are derived based on a totally independent approach using constituent lifetimes and typical wind speeds. To date, the spaceborne observations of tropospheric constituents have been from several instruments including TOMS, GOME, MOPITT, TES, and OMI which, in general, have different weighting functions that need to be considered, and none really measures at the surface. A further complication is that most satellite measurements (such as those of OMI and GOME) are of the vertically integrated column. In this paper, the length scales in the column measurements were also of the order of 50 km. To adequately resolve the 50-km features, a horizontal resolution of at least 10 km would be desirable
IEEE Transactions on Visualization and Computer Graphics | 2009
Alark Joshi; Jesus J. Caban; Penny Rheingans; Lynn C. Sparling
The devastating power of hurricanes was evident during the 2005 hurricane season, the most active season on record. This has prompted increased efforts by researchers to understand the physical processes that underlie the genesis, intensification, and tracks of hurricanes. This research aims at facilitating an improved understanding into the structure of hurricanes with the aid of visualization techniques. Our approach was developed by a mixed team of visualization and domain experts. To better understand these systems, and to explore their representation in NWP models, we use a variety of illustration-inspired techniques to visualize their structure and time evolution. Illustration-inspired techniques aid in the identification of the amount of vertical wind shear in a hurricane, which can help meteorologists predict dissipation. Illustration-style visualization, in combination with standard visualization techniques, helped explore the vortex rollup phenomena and the mesovortices contained within. We evaluated the effectiveness of our visualization with the help of six hurricane experts. The expert evaluation showed that the illustration-inspired techniques were preferred over existing tools. Visualization of the evolution of structural features is a prelude to a deeper visual analysis of the underlying dynamics.
Journal of Applied Meteorology and Climatology | 2018
Edward Strobach; Lynn C. Sparling; Scott Daniel Rabenhorst; Belay Demoz
AbstractThis paper presents a case study of a strong low-level jet (LLJ) that was observed about 20 km off the coast of Ocean City, Maryland, during a measurement campaign in the summer of 2013. Doppler wind lidar observations offshore, together with analyses of 4-km WRF Model data and NARR data, are used to reconstruct the forcing mechanisms that led to the growth and rapid collapse of the jet offshore as well as to differentiate the forcing mechanisms resulting in an LLJ farther inland. It was observed that the LLJ over the mid-Atlantic coastal plain decreased gradually throughout the early morning hours relative to the LLJ along the coastal ocean as a downslope wind moved eastward from the Appalachian Mountains. The forcing of the LLJ was a result of both thermal and mechanical mechanisms linked to the topography, while synoptic forcing from an approaching cold front led to a downslope wind. Data from a wind profiler near Cambridge, Maryland, also showed an LLJ, but forced by different regional conditi...
Atmospheric Chemistry and Physics | 2010
Juying Warner; Z. Wei; L. Larrabee Strow; Christopher D. Barnet; Lynn C. Sparling; Glenn S. Diskin; G. W. Sachse
Meteorology and Atmospheric Physics | 2011
M. H. Weldegaber; Belay Demoz; Lynn C. Sparling; Raymond M. Hoff; S. Chiao
Archive | 2008
D. W. Kollonige; William Wallace McMillan; Lynn C. Sparling; Mitchell A. Avery; Glenn S. Diskin; Glen W. Sachse; Edward V. Browell; John Hair
Archive | 2007
A. H. Salemi; William Wallace McMillan; Gregory Ben Osterman; Christopher D. Barnet; Kristen Evans; Raymond M. Hoff; F. W. Irion; Nathaniel J. Livesey; Kenneth E. Pickering; Lynn C. Sparling; D. E. Wicks; Wayne Hendrix Wolf; Leonid Yurganov
Archive | 2006
D. E. Wicks; William Wallace McMillan; Juying Xie Warner; Christopher D. Barnet; Glen W. Sachse; Mitchell A. Avery; Lynn C. Sparling