Articles | Volume 7, issue 12
https://doi.org/10.5194/amt-7-4317-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-7-4317-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Dec 2014
Research article |
| 09 Dec 2014
Looking through the haze: evaluating the CALIPSO level 2 aerosol optical depth using airborne high spectral resolution lidar data
R. R. Rogers
CORRESPONDING AUTHOR
NASA Langley Research Center, 21 Langley Blvd, MS 401, Hampton, VA 23681, USA
M. A. Vaughan
NASA Langley Research Center, 21 Langley Blvd, MS 401, Hampton, VA 23681, USA
C. A. Hostetler
NASA Langley Research Center, 21 Langley Blvd, MS 401, Hampton, VA 23681, USA
S. P. Burton
NASA Langley Research Center, 21 Langley Blvd, MS 401, Hampton, VA 23681, USA
R. A. Ferrare
NASA Langley Research Center, 21 Langley Blvd, MS 401, Hampton, VA 23681, USA
S. A. Young
CSIRO Marine & Atmospheric Research, Private Bag No. 1, Aspendale, VIC 3195, Australia
J. W. Hair
NASA Langley Research Center, 21 Langley Blvd, MS 401, Hampton, VA 23681, USA
M. D. Obland
NASA Langley Research Center, 21 Langley Blvd, MS 401, Hampton, VA 23681, USA
D. B. Harper
NASA Langley Research Center, 21 Langley Blvd, MS 401, Hampton, VA 23681, USA
A. L. Cook
NASA Langley Research Center, 21 Langley Blvd, MS 401, Hampton, VA 23681, USA
D. M. Winker
NASA Langley Research Center, 21 Langley Blvd, MS 401, Hampton, VA 23681, USA
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- Aerosol data assimilation in the MOCAGE chemical transport model during the TRAQA/ChArMEx campaign: lidar observations L. El Amraoui et al. 10.5194/amt-13-4645-2020
- CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design J. Tackett et al. 10.5194/amt-11-4129-2018
- Constrained Retrievals of Aerosol Optical Properties Using Combined Lidar and Imager Measurements During the FIREX-AQ Campaign N. Midzak et al. 10.3389/frsen.2022.818605
- Application of high-dimensional fuzzy <i>k</i>-means cluster analysis to CALIOP/CALIPSO version 4.1 cloud–aerosol discrimination S. Zeng et al. 10.5194/amt-12-2261-2019
- Denoising the space-borne high-spectral-resolution lidar signal with block-matching and 3D filtering Z. Zheng et al. 10.1364/AO.385469
- Joint multiscale cloud detection algorithm for ground-based lidar W. Xu et al. 10.1364/OE.473727
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- Layer detection algorithm for CALIPSO observation based on automatic segmentation with a minimum cost function F. Mao et al. 10.1016/j.jqsrt.2020.107498
- Characteristics of Atmospheric Aerosols Over the UAE Inferred From CALIPSO and Sun Photometer Aerosol Optical Depth N. Nelli et al. 10.1029/2020EA001360
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- Flood Damage Analysis: First Floor Elevation Uncertainty Resulting from LiDAR-Derived Digital Surface Models J. Bodoque et al. 10.3390/rs8070604
- Evaluation of aerosol number concentrations from CALIPSO with ATom airborne in situ measurements G. Choudhury et al. 10.5194/acp-22-7143-2022
- Global vertically resolved aerosol direct radiation effect from three years of CALIOP data using the FORTH radiation transfer model M. Korras-Carraca et al. 10.1016/j.atmosres.2019.03.024
- The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. 10.5194/amt-11-6107-2018
- Assessment of tropospheric CALIPSO Version 4.2 aerosol types over the ocean using independent CALIPSO–SODA lidar ratios Z. Li et al. 10.5194/amt-15-2745-2022
- The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign K. Knobelspiesse et al. 10.5194/essd-12-2183-2020
- Analysis of characteristics and changes in three-dimensional spatial and temporal distribution of aerosol types in Central Asia Y. Gan et al. 10.1016/j.scitotenv.2024.172196
- All‐Sky Aerosol Direct Radiative Effects at the ARM SGP Site K. Balmes & Q. Fu 10.1029/2021JD034933
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1 citations as recorded by crossref.
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