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Kazuaki Yasunaga, Kunio Yoneyama, Hisayuki Kubota, Hajime Okamoto, Atsushi Shimizu, Hiroshi Kumagai, Masaki Katsumata, Nobuo Sugimoto, and Ichiro Matsui

the present section, the principal mission objectives were C-band weather Doppler radar observations, atmospheric sounding by radiosonde, surface meteorological measurement, conductivity–temperature–depth profiler castings to 500 m, and current measurement by acoustic Doppler current profiler. Additional tasks included turbulent flux measurement, solar radiation measurement, cloud profiling radar (SPIDER), lidar, and greenhouse gas measurement. The cloud profiling radar (SPIDER) has a frequency of

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Stuart A. Young and Mark A. Vaughan

1. Introduction The Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) mission ( Winker et al. 2003 ) joined the A-Train ( Stephens et al. 2002 ) constellation of satellites in late April 2006 and began acquiring scientific data in mid-June of that year. CALIPSO carries three, coaligned, nadir-viewing instruments: a dual-wavelength, dual-polarization lidar ( Winker et al. 2007 ), an imaging infrared radiometer ( Chomette et al. 2003 ) and a wide-field camera ( Pitts et al

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G. Beyerle, M. R. Gross, D. A. Haner, N. T. Kjome, I. S. McDermid, T. J. McGee, J. M. Rosen, H.-J. Schäfer, and O. Schrems

. The objective of the campaign and purpose of this study is twofold. First, the measurements enhance the dataset on occurrence frequencies of visible and subvisible cirrus clouds at midlatitude. Second, ground-based lidar observations of the tropo- and stratosphere are an integral part of the Network for the Detection of Stratospheric Change (NDSC) where they provide information on trace gas concentrations, temperature, aerosol content, and cloud occurrences. The high-quality level of the NDSC

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James D. Spinhirne and William D. Hart

NOVEMBER 1990 JAMES D. SPINHIRNE AND WILLIAM D. HART 2329Cirrus Structure and Radiative Parameters from Airborne Lidar and Spectral Radiometer Observations: The 28 October 1986 FIRE Study JAMES D. $PINHIRNENASA Goddard Space Flight Center, Laboratory for Atmospheres, Greenbelt, Maryland WILLIAM D. HARTScience Systems Applications, Inc., Lanham, Maryland(Manuscript received

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N. L. Abshire, R. L. Schwiesow, and V. E. Derr

DECEMBEaI974 NOTES AND CORRESPONDENCE 951 Doppler Lidar Observations of Hydrometeors N. L. ABSItlRE, 1~. L. SCttWIESOW AND V. E. DERR En~ronmental Research -aboratories, NOAA, Boulder, Colo. 80302 6 November 1973 and 24 July 1974 ABSTRACT Significant Doppler lidar returns have been observed from snow and rain. This demonstrates the

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Brent Knutson, Wenbo Tang, and Pak Wai Chan

in this study, radar data assimilation has been developed in WRF ( Xiao et al. 2005 ; Wang et al. 2013 ; Choi et al. 2013 ; Sun and Wang 2013 ) and applied in forecasts ( Xiao and Sun 2007 ; Routray et al. 2010 ). Radar observations share a very similar spatial structure with lidar, where data are measured on a cone with only the line of sight velocity component measured, and the resolution of data becoming higher closer to the instrument, due to shorter arclength of neighboring beams at

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I. Veselovskii, D. N. Whiteman, A. Kolgotin, E. Andrews, and M. Korenskii

Fiebig M. , 2001 : Comprehensive particle characterization from 3-wavelength Raman lidar observations: Case study. Appl. Opt. , 40 , 4863 – 4869 . 10.1364/AO.40.004863 Müller, D. , Ansmann A. , Wagner F. , Franke K. , and Althausen D. , 2002 : European pollution outbreaks during ACE 2: Microphysical particle properties and single-scattering albedo inferred from multiwavelength lidar observations. J. Geophys. Res. , 107 , 4248 . doi:10.1029/2001JD001110 . 10.1029/2001JD001110

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P. W. Chan

observations of turbulent eddies for an accurate ensemble average), N is the total number of velocity fluctuation pairs in the summation, and the last term on the right-hand side of Eq. (2) is an estimation of the error associated with random fluctuations of the lidar signal. Following Frehlich et al. (1998) , one way to calculate the error term is to look at the spectral density of the velocity fluctuation difference where In the above equation, N 1 is the number of azimuth angle

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Anne Garnier, Jacques Pelon, Philippe Dubuisson, Michaël Faivre, Olivier Chomette, Nicolas Pascal, and David P. Kratz

) mission has been defined to allow a better understanding of aerosol and cloud radiative forcing. Observations from the three-channel Imaging Infrared Radiometer (IIR) developed in France by the Centre National d’Etudes Spatiales (CNES), the Société d’Etudes et de Réalisations Nucléaires (SODERN), and the Institut Pierre-Simon Laplace (IPSL) are combined with those from the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) to provide a new characterization of the microphysics at global scale

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Volker Wulfmeyer and Tijana Janjić

because of their complex vertical variability. As a consequence, detailed clear-air observations of MBL variables are essential to improve modeling and simulation of transport processes and modeling and simulation of cloud and precipitation development. In recent years, considerable progress has been made in the development, improvement, and application of active remote sensing systems such as lidar for boundary layer research (e.g., Sullivan et al. 1998 ; Wulfmeyer 1999a , b ; Grund et al. 2001

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