By Joshua D. Vande Hey
In this thesis, a brand new lidar (light detection and varying) ceilometer able to tracking cloud base and delicate to boundary layer aerosols is brought. the foremost to this novelty lies in its divided-lens layout that addresses a classical lidar challenge of balancing transmitter-receiver overlap and signal-to-noise ratio, besides a style for characterizing overlap within the laboratory. stronger sensitivity within the near-range of the device is completed with no compromising signal-to-noise in a layout that's common to fabricate for vast deployment. The device, its optical characterization, and its functionality within the box are defined. The prototype device defined the following has in view that shaped the root of a advertisement sensor for tracking clouds and aerosols.
High-resolution, non-stop observations of clouds and aerosols are had to lessen the massive uncertainties in our present realizing in their effect on weather which have been highlighted through the overseas Panel on weather switch. And as overseas wellbeing and fitness organisations point out starting to be public healthiness threats over the arrival a long time due to terrible air caliber, huge aerosol tracking is needed to evaluate own publicity to and the healthiness affects of anthropogenic particulates. Ground-based optical distant sensing measurements made via well-characterized tools, comparable to that defined in those pages, are severe to this.
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Additional info for A Novel Lidar Ceilometer: Design, Implementation and Characterisation
Haeffelin et al. also found that when near-infrared ceilometer data and UV lidar data both indicated the same mixing layer height, this value was 25–40 % more likely to match within 300 m that determined by radiosonde than when either the lidar or the ceilometer was used alone. Boundary layer height has also been determined by assimilation of measured data with modelled data. Di Giuseppe et al.  described a method wherein the signal discontinuities from individual ceilometer measurements, which indicate possible aerosol layer structures, are coupled with a time-dependent model of the boundary layer in order to identify the most statistically significant feature as the top of the boundary layer.
Atmos. Oceanic Technol. 12(2), 201–229 (1995) 10. U. Wandinger, Introduction to lidar, in LIDAR: Range-Resolved Optical Remote Sensing of the Atmosphere, ed. by C. Weitkamp (Springer, Berlin, 2005), pp. 1–18 11. K. Baumann, M. Piringer, Two-years of boundary layer measurements with a sodar—statistics and applications. Phys. Chem. Earth Part B Hydrol. Oceans Atmos. 26(3), 205–211 (2001) 12. H. Flentje, H. Claude, T. Elste, S. Gilge, U. Köhler, C. Plass-Dülmer, W. Steinbrecht, W. Thomas, A. Werner, W.
Lolli, C. O’Dowd, L. Sauvage, I. Xueref-Rémy, B. Wastine, D. Feist, Evaluation of mixing-height retrievals from automatic profiling lidars and ceilometers in view of future integrated networks in Europe. -Layer Meteorol. 143, 49–75 (2012) 84. F. Di Giuseppe, A. Riccio, L. Caporaso, G. P. Gobbi, F. Angelini, Automatic detection of atmospheric boundary layer height using ceilometer backscatter data assisted by a boundary layer model. Q. J. R. Meteorol. Soc. 138(664), 649–663 (2012) 85. C. Münkel, S.