CALIPSO Lidar Description and Performance Assessment

By W. Hunt, D. Winker, Mark A. Vaughan, Kathleen Powell, P. Lucker, Carl Weimer. 2009

509 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/72b3acbedced01b95c25785ca779525924c385ee

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Citations in the corpus

The CALIPSO Lidar Cloud and Aerosol Discrimination: Version 2 Algorithm and Initial Assessment of Performance (2009, background): “The transmitted laser beam is linearly polarized, and two polarization-sensitive 532-nm receiver channels measure the degree of linear depolarization of the return signal [see details of the lidar instrument provided in Hunt et al. (2009)].”
The CloudSat radar‐lidar geometrical profile product (RL‐GeoProf): Updates, improvements, and selected results (2014, background): “Received 16 DEC 2013 Accepted 17 JUN 2014 Accepted article online 21 JUN 2014 Published online 4 AUG 2014 orthogonal polarization (CALIOP) to probe the vertical structure and properties of thin clouds and aerosols [Winker et al., 2003, 2007; Hunt et al., 2009].”
About the effects of polarising optics on lidar signals and the Δ90 calibration (2016, methodology): “, 2009) is calibrated with a pseudo-depolariser before the polarising beam-splitter (Hunt et al., 2009), which is described by Eq.”
CALIPSO Lidar Calibration Algorithms. Part I: Nighttime 532-nm Parallel Channel and 532-nm Perpendicular Channel (2009, methodology): “The systematic error is due primarily to nonideal polarization effects in the transmitter and receiver and is further described in Hunt et al. (2009). The random uncertainty in the averaged K̂ P is estimated using the NSF and given by”
Improvements of top-of-atmosphere and surface irradiance computations with CALIPSO-, CloudSat-, and MODIS-derived cloud and aerosol properties (2011, methodology): “[5] CALIPSO and CloudSat, launched in 2006 as part of NASA’ sA ‐train satellite constellation, provide detailed information on cloud and aerosol vertical profiles from tropicstothepoles.Whencloudverticalprofilesderivedfrom Cloud‐Aerosol LidarwithOrthogonalPolarization (CALIOP [ Hunt et al., 2009 ]) ”
Fully Automated Detection of Cloud and Aerosol Layers in the CALIPSO Lidar Measurements (2009, methodology): “An in-depth description of the CALIOP instrument can be found in Hunt et al. (2009).”
Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results (2012, methodology): “Attenuated backscatter represents the rangecorrected calibrated lidar signal, obtained after the subtraction of calibration terms [Winker et al., 2007; Hunt et al., 2009].”
Unprecedented Arctic ozone loss in 2011 (2011, methodology): “The CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellit”
Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask (2013, background): “2 km, both the horizontal and vertical resolution are less (Hunt et al., 2009).”
CALIPSO polar stratospheric cloud observations: second-generation detection algorithm and composition discrimination (2009, methodology): “Assessments of the CALIOP calibration, performance, and data quality have been documented elsewhere in the literature (e.g., Powell et al., 2009; Hunt et al., 2009; Winker et al., 2007; McGill et al., 2007).”
Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms (2009, methodology): “As the satellite orbits the earth, the range to the surface changes continually and the range gates are automatically adjusted by the payload controller to keep the geoid surface within the digitized range (Hunt et al. 2009).”
Intercomparison of the cloud water phase among global climate models (2014, background): “All the satellites of the A-train are in a 705 km altitude Sun-synchronous polar orbit with an equator-crossing time of about 1:30 P.M., local solar time, and a 16 day repeat cycle [Hunt et al., 2009].”