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Monte Carlo simulation of detection of cirrus cloud properties by Micro Pulse Lidar

dc.contributor.authorCotturone, James A., Jr., author
dc.contributor.authorCox, Stephen K., author
dc.date.accessioned2022-03-29T19:50:07Z
dc.date.available2022-03-29T19:50:07Z
dc.date.issued1996-05
dc.descriptionMay 1996.
dc.descriptionAlso issued as James A. Cotturone's thesis (M.S.) -- Colorado State University, 1996.
dc.description.abstractThe development of the Micro Pulse Lidar (MPL) provides researchers with a system capable of continuous, eye-safe monitoring of atmospheric properties. The MPL operates with low energy, high pulse repetition frequency radiation in the visible portion of the spectrum. To investigate the interaction between visible radiation and atmospheric constituents, a model using Monte Carlo techniques has been refined to simulate MPL return profiles. An inherent feature of the MPL is its narrow receiver field of view (FOV) which is necessary to limit background noise. The effect of such a FOV and the role multiple scattering effects play in MPL operations are investigated in this study. Cloud base height and the radiative properties of cirrus clouds are important for determining the radiation budget of the planet. Inferred cirrus cloud radiative properties vary with the type of crystals assumed to compose the model clouds. To properly model optically thin clouds, it is important to include a standard background atmosphere composed of Rayleigh and aerosol scatterers. Its inclusion allows one to take advantage of information deduced from both the cloud and above cloud layer. Information that is unavailable when sampling optically thick clouds. This capability plays a pivotal role in an inversion algorithm that is developed and described. It is shown that the algorithm allows one to infer important cloud optical properties such as volume extinction coefficient, cloud optical depth, and isotropic backscatter to extinction ratio, also known as the lidar ratio. The algorithm shows that reliable results may be obtained from clouds of optical depth ranging from 0.05 to 1.4. For clouds of greater optical depth, it is shown that model "noise" causes results to become unstable. This instability is investigated and the sensitivity of algorithm results to the accuracy of essential parameters is examined. Calculations of the multiple scattering factor are also made for model clouds of varying optical depth.
dc.description.sponsorshipSponsored by the National Aeronautics and Space Administration contract number NAG 1-1704, and Office of Naval Research contract number N00014-91-J-1422.
dc.format.mediumreports
dc.identifier.urihttps://hdl.handle.net/10217/234590
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relationCatalog record number (MMS ID): 991000238559703361
dc.relationQC852 .C6 no. 608
dc.relation.ispartofAtmospheric Science Papers (Blue Books)
dc.relation.ispartofAtmospheric science paper, no. 608
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectCloud physics -- Simulation methods
dc.subjectCirrus clouds
dc.subjectSatellite meteorology
dc.subjectMonte Carlo method
dc.titleMonte Carlo simulation of detection of cirrus cloud properties by Micro Pulse Lidar
dc.typeText
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