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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- Atmospheric Research Over the Western North Atlantic Ocean Region and North American East Coast: A Review of Past Work and Challenges Ahead A. Sorooshian et al. 10.1029/2019JD031626
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- 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
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- 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
- Aerosol indirect effects on the nighttime Arctic Ocean surface from thin, predominantly liquid clouds L. Zamora et al. 10.5194/acp-17-7311-2017
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- Evaluation of aerosol number concentrations from CALIPSO with ATom airborne in situ measurements G. Choudhury et al. 10.5194/acp-22-7143-2022
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- The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. 10.5194/amt-11-6107-2018
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- Observational constraint on cloud susceptibility weakened by aerosol retrieval limitations P. Ma et al. 10.1038/s41467-018-05028-4
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- Relationship between low-cloud presence and the amount of overlying aerosols C. Chung et al. 10.5194/acp-16-5781-2016
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- Three-dimensional evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset E. Marinou et al. 10.5194/acp-17-5893-2017
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