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Proceedings Paper

Planetary boundary layer height retrieval at UMBC in the frame of NOAA/ARL campaign
Author(s): S. Lolli; R. Delgado; J. Compton; R. Hoff
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Paper Abstract

The determination of the depth of daytime and nighttime Planetary Boundary Layer Height (PBLH) must be known very accurately to relate boundary layer concentrations of gases or particles to upstream fluxes. Moreover, the air quality forecasts rely upon semi-empirical parameterizations within numerical models for the description of dispersion, formation and fate of pollutants influenced by the spatial and temporal distribution of emissions in cities, topography, and weather. The particulate matter (PM) mass measured at the ground level is a common way to quantify the amount of aerosol particles in the atmosphere and is the standard used to evaluate air quality. Remote sensing of atmospheric aerosols in the lower troposphere that affect air quality is done at the University of Maryland, Baltimore County (UMBC) by the Atmospheric Lidar Group, that supported the joint NOAA/ARL and NCEP ad hoc field study. These campaigns launched radiosondes from Howard University (HU) (26.6km south of UMBC) and RFK Stadium (29.15 km south of UMBC) during September 14-22, 2009 to develop a database to investigate the evolution and spatial variability of the PBLH. In this paper, we examined the potential for continual observation of PBLH by performing a statistical comparison of the spatial and temporal resolution of PBLH from lidars, wind profiler, and radiosonde measurements

Paper Details

Date Published: 30 September 2011
PDF: 9 pages
Proc. SPIE 8182, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VII, 81820R (30 September 2011); doi: 10.1117/12.898352
Show Author Affiliations
S. Lolli, Leosphere (France)
R. Delgado, Univ. of Maryland, Baltimore County (United States)
J. Compton, Univ. of Maryland, Baltimore County (United States)
R. Hoff, Univ. of Maryland, Baltimore County (United States)


Published in SPIE Proceedings Vol. 8182:
Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VII
Upendra N. Singh; Gelsomina Pappalardo, Editor(s)

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