Literature DB >> 33479568

CALIPSO Lidar Calibration at 532 nm: Version 4 Nighttime Algorithm.

Jayanta Kar1,2, Mark A Vaughan2, Kam-Pui Lee1,2, Jason L Tackett1,2, Melody A Avery2, Anne Garnier1, Brian J Getzewich1,2, William H Hunt1,2, Damien Josset1,2, Zhaoyan Liu2, Patricia L Lucker1,2, Brian Magill1,2, Ali H Omar2, Jacques Pelon3, Raymond R Rogers2, Travis D Toth2,4, Charles R Trepte2, Jean-Paul Vernier1,2, David M Winker2, Stuart A Young1.   

Abstract

Data products from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on board Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) were recently updated following the implementation of new (version 4) calibration algorithms for all of the level 1 attenuated backscatter measurements. In this work we present the motivation for and the implementation of the version 4 nighttime 532 nm parallel channel calibration. The nighttime 532 nm calibration is the most fundamental calibration of CALIOP data, since all of CALIOP's other radiometric calibration procedures - i.e., the 532 nm daytime calibration and the 1064 nm calibrations during both nighttime and daytime - depend either directly or indirectly on the 532 nm nighttime calibration. The accuracy of the 532 nm nighttime calibration has been significantly improved by raising the molecular normalization altitude from 30-34 km to 36-39 km to substantially reduce stratospheric aerosol contamination. Due to the greatly reduced molecular number density and consequently reduced signal-to-noise ratio (SNR) at these higher altitudes, the signal is now averaged over a larger number of samples using data from multiple adjacent granules. As well, an enhanced strategy for filtering the radiation-induced noise from high energy particles was adopted. Further, the meteorological model used in the earlier versions has been replaced by the improved MERRA-2 model. An aerosol scattering ratio of 1.01 ± 0.01 is now explicitly used for the calibration altitude. These modifications lead to globally revised calibration coefficients which are, on average, 2-3% lower than in previous data releases. Further, the new calibration procedure is shown to eliminate biases at high altitudes that were present in earlier versions and consequently leads to an improved representation of stratospheric aerosols. Validation results using airborne lidar measurements are also presented. Biases relative to collocated measurements acquired by the Langley Research Center (LaRC) airborne high spectral resolution lidar (HSRL) are reduced from 3.6% ± 2.2% in the version 3 data set to 1.6% ± 2.4 % in the version 4 release.

Entities:  

Year:  2018        PMID: 33479568      PMCID: PMC7816828          DOI: 10.5194/amt-11-1459-2018

Source DB:  PubMed          Journal:  Atmos Meas Tech        ISSN: 1867-1381            Impact factor:   4.176


  6 in total

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Journal:  Appl Opt       Date:  2008-12-20       Impact factor: 1.980

2.  Methodology for error analysis and simulation of lidar aerosol measurements.

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4.  Observational constraints on mixed-phase clouds imply higher climate sensitivity.

Authors:  Ivy Tan; Trude Storelvmo; Mark D Zelinka
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5.  The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2).

Authors:  Ronald Gelaro; Will McCarty; Max J Suárez; Ricardo Todling; Andrea Molod; Lawrence Takacs; Cynthia Randles; Anton Darmenov; Michael G Bosilovich; Rolf Reichle; Krzysztof Wargan; Lawrence Coy; Richard Cullather; Clara Draper; Santha Akella; Virginie Buchard; Austin Conaty; Arlindo da Silva; Wei Gu; Gi-Kong Kim; Randal Koster; Robert Lucchesi; Dagmar Merkova; Jon Eric Nielsen; Gary Partyka; Steven Pawson; William Putman; Michele Rienecker; Siegfried D Schubert; Meta Sienkiewicz; Bin Zhao
Journal:  J Clim       Date:  2017-06-20       Impact factor: 5.148

6.  Comparisons of aerosol backscatter using satellite and ground lidars: implications for calibrating and validating spaceborne lidar.

Authors:  Gary Gimmestad; Haviland Forrister; Tomas Grigas; Colin O'Dowd
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  6 in total
  1 in total

1.  Black carbon aerosol number and mass concentration measurements by picosecond short-range elastic backscatter lidar.

Authors:  Romain Ceolato; Andrés E Bedoya-Velásquez; Frédéric Fossard; Vincent Mouysset; Lucas Paulien; Sidonie Lefebvre; Claudio Mazzoleni; Christopher Sorensen; Matthew J Berg; Jérôme Yon
Journal:  Sci Rep       Date:  2022-05-19       Impact factor: 4.996

  1 in total

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