Mathematics – Logic
Scientific paper
Dec 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009agufm.a33c0265w&link_type=abstract
American Geophysical Union, Fall Meeting 2009, abstract #A33C-0265
Mathematics
Logic
[0305] Atmospheric Composition And Structure / Aerosols And Particles
Scientific paper
The need to characterize in a robust way Planetary Boundary Layer (PBL) Heights is crucial as in air quality forcast and transport models. Incorrect determination of PBL heights can severely distort the surface level PM2.5 predictions crucial in determining whether New York City is in compliance. It has been amply demonstrated that lidar systems have repeatedly proven to be valuable tools in the study of the process of PBL. Therefore, it is useful to explore automated robust methods for PBL height retrieval. This presentation will focus on the determination of PBL height by assessing a variety of statistical and signal processing methods to assess PBL heights and compare tyhem against meteorologically based estimates of the Mixing layer. In particular, we find that in general, wavelet based techniques are more robust then edge detection filters and are most useful in obtaining multiple layers in low SNR cases. We also find that edge detection methods are very sensitive to noise and work well only under high SNR cases. Applications of these signal processing methods are applied to vertical resolving data from Calipso, Vaisala Ceilometer and Micropulse Lidar and compared against meteorological models from ARL as well as radiosondes. Particular emphasis on the Urban Heat Island effects will be presented.
Gross Ben
Wu Yihong
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