article · 2010
Optical attenuation modeling of continental fog using exponential distribution
M. S. Awan, Marzuki Marzuki, Erich Leitgeb, Muhammad Saeed Khan
Cited by 0Abstract and details only
Abstract
A technique of modeling the fog droplet size distributions using exponential distribution has been demonstrated. In order to compute the two parameters of the exponential distribution, two experimental measurements are required, which are the measurement of liquid water content (LWC) and the optical attenuations at visible wavelength. The two measurements are used to form two equations, which are treated as nonlinear equations using a numerical technique to obtain the two parameters of the exponential distribution. From the performance analysis of the newly computed parameters, it is found that the two parameters are quite efficient in modeling the optical attenuations in continental fog conditions.
Cite this paper
Awan, M. S., Marzuki, M., Leitgeb, E., & Khan, M. S. (2010). Optical attenuation modeling of continental fog using exponential distribution. https://doi.org/10.1109/csndsp16145.2010.5580353
Awan, M. S., et al. “Optical attenuation modeling of continental fog using exponential distribution.” 2010, pp. 547–52, https://doi.org/10.1109/csndsp16145.2010.5580353.
Awan, M. S., Marzuki Marzuki, Erich Leitgeb, and Muhammad Saeed Khan. 2010. “Optical attenuation modeling of continental fog using exponential distribution.” https://doi.org/10.1109/csndsp16145.2010.5580353.
Awan, M.S. et al. (2010) ‘Optical attenuation modeling of continental fog using exponential distribution’. Available at: https://doi.org/10.1109/csndsp16145.2010.5580353.
@article{awan2010optical,
title = {{Optical attenuation modeling of continental fog using exponential distribution}},
author = {Awan, M. S. and Marzuki, Marzuki and Leitgeb, Erich and Khan, Muhammad Saeed},
pages = {547--552},
year = {2010},
doi = {10.1109/csndsp16145.2010.5580353}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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