Search Results

You are looking at 41 - 50 of 3,984 items for :

  • Lidar observations x
  • All content x
Clear All
J. D. Spinhirne, R. Boers, and W. D. Hart

VOLUME28 JOURNAL OF APPLIED METEOROLOGY FEBRUARY 1989Cloud Top Liquid Water from Lidar Observations of Marine Stratocumulus J. D. SPINHIRNE, R. BOERS* AND W. D. HART~NASA/Goddard Space Flight Center, Laboratory for Atmospheres, Greenbelt, Maryland(Manuscript received 27 August 1987, in final form 29 February 1988) ABSTRACT Marine stratus clouds were simultaneously observed by nadir Nd

Full access
Rasmus Lindstrot, Rene Preusker, Thomas Ruhtz, Birgit Heese, Matthias Wiegner, Carsten Lindemann, and Jürgen Fischer

-top heights accurately. The cloud-top height was defined by that range bin that detected the maximum number of photons. In case of cloud-free conditions, the surface return in the lidar data was used to check the flight height as determined from the GPS system. 3. Experiment a. Flights The maximum flying altitude of the aircraft was around 3000 m, limiting the observations to low-level clouds. Altogether, 12 flights were conducted in the northeastern part of Germany between April and June of 2004. The

Full access
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

Full access
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

Full access
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

Full access
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

Full access
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

Full access
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

Full access
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

Full access
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

Full access