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Ali H. Omar, David M. Winker, Mark A. Vaughan, Yongxiang Hu, Charles R. Trepte, Richard A. Ferrare, Kam-Pui Lee, Chris A. Hostetler, Chieko Kittaka, Raymond R. Rogers, Ralph E. Kuehn, and Zhaoyan Liu

, droplet size, and cloud longevity [i.e., the so-called indirect effects of aerosols ( Twomey 1977 )]. The deployment of satellite-based active [e.g., Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), Geoscience Laser Altimeter System (GLAS)] and passive instruments [e.g., Multiangle Imaging SpectroRadiometer (MISR), Moderate Resolution Imaging Spectroradiometer (MODIS), Ozone Monitoring Instrument (OMI), and Polarization and Directionality of the Earth’s Reflectance (POLDER

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J. Mann, A. Peña, F. Bingöl, R. Wagner, and M. S. Courtney

m ( G 40 = (〈 υ r 80 〉 − 〈 υ r 40 〉)/(80 m − 40 m)/cos ϕ ), at 80 m from the observations at 100 and 40 m, and at 100 m from the observations at 100 and 80 m. The unfiltered momentum flux, also estimated from Eq. (6) , is compared in Fig. 10 to the sonic anemometer observations at the overlapping heights using Δ θ = ±5°. The lidar momentum flux is overestimated by 7% at 40 and 100 m compared to the sonic observations, whereas they agree well at 80 m. This might be due to the method used to

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W. Viezee, E. E. Uthe, and R. T. H. Collis

274 JOURNAL OF APPLIED METEOROLOGY VoLo~8Lidar Observations of Airfield Approach Conditions: An Exploratory Studyz ' W. VIEZEE, E. E. UTHE AND R. T. H. COLmSStanford ~e~e~ch Institute, M~nlo Par~, Calif.(Manuscript received 9 December 1968, in revised form 9 ~anuary 1969) Lidar (laser radar) data obtained at Hamilton AFB, Calif., under conditions of low ceiling and visibility,are ~nalyzed by hand and by

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J. H. Middleton, C. G. Cooke, E. T. Kearney, P. J. Mumford, M. A. Mole, G. J. Nippard, C. Rizos, K. D. Splinter, and I. L. Turner

position, altitude, and attitude information of the aircraft for a variety of applications including water waves, landslide slippage, and beach survey. Vertical accuracy of the lidar was assessed by comparing data from various hard surfaces ( Reineman et al. 2009 ), but it appears that there was no comparison against beach surface data acquired from surface-based observations. After georectification and topographic evaluation, the elevation accuracy from hard surfaces was estimated by Reineman to be

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S. Lolli, P. Di Girolamo, B. Demoz, X. Li, and E. J. Welton

to the atmospheric layer thickness, a few hundred meters of error in determining the cloud-base height could introduce significant errors into the evaporation rate calculation. Thus, this work represents the first step in developing a method to retrieve light rain evaporation rates that combines observations from single-wavelength backscatter lidars ( Lolli et al. 2013a ), as those deployed in the frame of the NASA Micropulse Lidar Network (MPLNET; Welton et al. 2002 ; Campbell et al. 2002

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Dominique Bouniol, Alain Protat, Julien Delanoë, Jacques Pelon, Jean-Marcel Piriou, François Bouyssel, Adrian M. Tompkins, Damian R. Wilson, Yohann Morille, Martial Haeffelin, Ewan J. O’Connor, Robin J. Hogan, Anthony J. Illingworth, David P. Donovan, and Henk-Klein Baltink

Aerosol lidar and Infrared Pathfinder Satellite Observations (CALIPSO; Winker et al. 2007 ) tandem mission provides a replica of these ground-based observations. However, because of the sun-synchronous orbit, the same point is always seen at the same local time, resulting in a poor sampling of the diurnal cycle. Liu et al. (2008) suggest that it is therefore important to interpret the day and night A-Train samples as independent samples. However, these instruments are most suited to a global

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W. Viezee, R. T. E. Collis, and S. Oblanas

916 JOURNAL OF APPLIED METEOROLOGY Vol. trs~9Lidar Observations in Relation to the Atmospheric Winds Aloft~ W. VmZEE, R. T. H. Cor~r~is aND J.Stanford Research Institute, M~n~o Par~, C~f.~anu~ript r~ved 2 Februa~ 1970, in re~d fo~ 28 May 1970) Lidar (laser radar) observations of the visually dear troposphere between 4 and 14 km are compared withdata from simultaneous rawinsonde ascents for the purpose

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William B. Rossow and Yuanchong Zhang

distribution functions for discriminating between cloud and aerosol in lidar backscatter data. J. Geophys. Res. , 109 , D15202 . doi:10.1029/2004JD004732 . Luo , Z. , and W. B. Rossow , 2004 : Characterizing tropical cirrus life cycle, evolution, and interaction with upper-tropospheric water vapor using Lagrangian trajectory analysis of satellite observations. J. Climate , 17 , 4541 – 4563 . Mace , G. G. , R. Marchand , Q. Zhang , and G. L. Stephens , 2007 : Global hydrometeor

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David M. Winker, Mark A. Vaughan, Ali Omar, Yongxiang Hu, Kathleen A. Powell, Zhaoyan Liu, William H. Hunt, and Stuart A. Young

our ability to predict future climate change are associated with uncertainties in the distribution and properties of aerosols and clouds and their interactions, as well as with limitations in how aerosols and clouds are represented in global climate models ( Solomon et al. 2007 ). The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission was developed as part of the National Aeronautics and Space Administration (NASA) Earth System Science Pathfinder (ESSP) program in

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Maki Hirakata, Hajime Okamoto, Yuichiro Hagihara, Tadahiro Hayasaka, and Riko Oki

combination of microphysical and macrophysical characteristics determines the radiative characteristics of clouds. Light scattering models indicate that oriented ice crystals can increase cloud albedo by as much as 40% compared to randomly oriented crystals ( Takano and Liou 1989 ). In addition, the proper treatment of the oriented crystals is needed for accurate retrievals of ice microphysics when the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations ( CALIPSO ) and CloudSat are used

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