Fully automated analysis of space-based lidar data: an overview of the CALIPSO retrieval algorithms and data products

By Mark A. Vaughan, Stuart A. Young, D. Winker, Kathleen Powell, Ali H. Omar, Zhaoyan Liu, Yongxiang Hu, Chris A. Hostetler. SPIE Remote Sensing, 2004

397 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/7b4aee241229f600739914d13902fd1f5b880989

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Citations in the corpus

Comparison of CALIOP level 2 aerosol subtypes to aerosol types derived from AERONET inversion data (2009, methodology): “[3] The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite [Winker et al., 2003; Vaughan et al., 2004] was launched successfully in April 2006, and data has been available from June 2006 onward.”
Taklimakan dust aerosol radiative heating derived from CALIPSO observations using the Fu-Liou radiation model with CERES constraints (2009, positive): “Unlike the space-based passive remote sensing instruments, CALIPSO can observe aerosols over bright surfaces and beneath thin clouds as well as in clear 25 sky conditions (Winker et al., 2006; Vaughan et al., 2004; Hu et al., 2006, 2007a, 2007b; Liu et al., 2004, 2008b, 2007c; Huang et al., 2007).”
Initial performance assessment of CALIOP (2007, background): “CALIPSO Level 2 algorithms provide identification of aerosol and cloud layers, classify aerosol into several types, and classify clouds by ice/water phase [Vaughan et al., 2004].”
A global view of midlevel liquid‐layer topped stratiform cloud distribution and phase partition from CALIPSO and CloudSat measurements (2010, neutral): “The primary measurements (level 1 data) of CALIOP are attenuated atmospheric backscattering coefficients at 532 and 1064 nm and linear lidar depolarization ratio profiles at 532 nm. CALIPSO level 2 science products are also available [ Vaughan et al. , 2004; Anselmo et al. , 2007].”
The CloudSat radar‐lidar geometrical profile product (RL‐GeoProf): Updates, improvements, and selected results (2014, methodology): “The CALIPSO Vertical Feature Mask (VFM) identifies nonmolecularattenuated backscatter signal in CALIOP data by applying an adaptive threshold algorithm to multiresolution spatial averages [Vaughan et al., 2004, 2009].”
Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results (2012, background): “100 (most likely to be aerosols) to +100 (most likely to be clouds) [Liu et al., 2004, 2009; Vaughan et al., 2004, 2005].”
Aerosols and surface UV products from Ozone Monitoring Instrument observations: An overview (2007, background): “The CALIPSO [Vaughan et al., 2004] image in Figure 1d clearly shows the vertical distribution of clouds and aerosols for this particular event.”
Airborne validation of spatial properties measured by the CALIPSO lidar (2007, methodology): “ing algorithms [Vaughan et al., 2004].”
Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP (2008, methodology): “To identify layer boundaries, a feature finder is used to separate legitimate features of interest from the noise and calibration uncertainties associated with the Level 1 attenuated backscatter profiles [Vaughan et al., 2004].”
CALIPSO Lidar Calibration Algorithms. Part I: Nighttime 532-nm Parallel Channel and 532-nm Perpendicular Channel (2009, methodology): “The clear-air regions are determined using the CALIOP lidar level 2 cloud and aerosol layer data product (Vaughan et al. 2004, 2009).”
Tropical stratospheric aerosol layer from CALIPSO lidar observations (2009, background): “[Vaughan et al., 2004] in each cell of the grid defined in 2.”
Validation of aerosol and cloud layer structures from the space-borne lidar CALIOP using a ground-based lidar in Seoul, Korea (2008, methodology): “Cloud/aerosol discrimination in CALIPSO level2 algorithms is performed using an adaptive threshold on the magnitude and spectral variation of the lidar backscatter at both wavelengths (Liu et al., 2004; Vaughan et al., 2004).”
Cloud ice: A climate model challenge with signs and expectations of progress (2007, methodology): “CALIPSO [16] The A-train also includes the Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) instrument that is also expected to provide estimates of IWC based on lidar backscatter [Vaughan et al., 2004; Winker et al., 2004].”
Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest (2014, methodology): “Likewise, the LiDAR community has been very active in developing techniques for extracting features from the raw data for various applications [12]–[15].”
The ACOS CO 2 retrieval algorithm – Part 1: Description and validation against synthetic observations (2011, methodology): “Profiles of cloud and aerosol come from the CloudAerosol Lidar with Orthogonal Polarisation (CALIOP) Level 2 cloud and aerosol layer products, version 3 (Vaughan et al., 2004; Kim et al., 2008).”