Articles | Volume 11, issue 1
https://doi.org/10.5194/amt-11-499-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-11-499-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jan 2018
Research article |
| 24 Jan 2018
| 24 Jan 2018
Minimum aerosol layer detection sensitivities and their subsequent impacts on aerosol optical thickness retrievals in CALIPSO level 2 data products
Travis D. Toth
CORRESPONDING AUTHOR
Dept. of Atmospheric Sciences, University of North Dakota, Grand
Forks, ND, USA
James R. Campbell
Aerosol and Radiation Sciences Section, Marine Meteorology Division,
Naval Research Laboratory, Monterey, CA, USA
Jeffrey S. Reid
Aerosol and Radiation Sciences Section, Marine Meteorology Division,
Naval Research Laboratory, Monterey, CA, USA
Jason L. Tackett
Science Systems and Applications, Inc., Hampton, VA, USA
Mark A. Vaughan
NASA Langley Research Center, Hampton, VA, USA
Jianglong Zhang
Dept. of Atmospheric Sciences, University of North Dakota, Grand
Forks, ND, USA
Jared W. Marquis
Dept. of Atmospheric Sciences, University of North Dakota, Grand
Forks, ND, USA
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44 citations as recorded by crossref.
- A Deep Learning Lidar Denoising Approach for Improving Atmospheric Feature Detection P. Selmer et al. 10.3390/rs16152735
- On the Limits of CALIOP for Constraining Modeled Free Tropospheric Aerosol D. Watson‐Parris et al. 10.1029/2018GL078195
- Aerosol Direct Radiative Effects under Cloud-Free Conditions over Highly-Polluted Areas in Europe and Mediterranean: A Ten-Years Analysis (2007–2016) T. Landi et al. 10.3390/rs13152933
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- Three-Dimensional Distribution of Arctic Aerosols Based on CALIOP Data Y. Sun & L. Chang 10.3390/rs17050903
- Retrieving particulate matter concentrations over the contiguous United States using CALIOP observations T. Toth et al. 10.1016/j.atmosenv.2022.118979
- Widespread biomass burning smoke throughout the remote troposphere G. Schill et al. 10.1038/s41561-020-0586-1
- How much of the global aerosol optical depth is found in the boundary layer and free troposphere? Q. Bourgeois et al. 10.5194/acp-18-7709-2018
- Spaceborne lidar retrieved composite and speciated aerosol extinction profiles and optical depths over India: A decade of observations P. Kulkarni & V. Sreekanth 10.1016/j.apr.2020.02.007
- Global estimation of clear-sky shortwave aerosol direct radiative effects based on CALIPSO observations Z. Shi et al. 10.1080/01431161.2022.2045042
- Assessing the benefits of Imaging Infrared Radiometer observations for the CALIOP version 4 cloud and aerosol discrimination algorithm T. Vaillant de Guélis et al. 10.5194/amt-15-1931-2022
- Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter R. Ryan et al. 10.5194/amt-17-6517-2024
- Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019–2020 – light-extinction, CCN, and INP levels from the boundary layer to the tropopause A. Ansmann et al. 10.5194/acp-23-12821-2023
- Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations B. Swain et al. 10.5194/amt-17-359-2024
- A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations T. Toth et al. 10.5194/amt-12-1739-2019
- Characterization and application of artificial light sources for nighttime aerosol optical depth retrievals using the Visible Infrared Imager Radiometer Suite Day/Night Band J. Zhang et al. 10.5194/amt-12-3209-2019
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
- EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product E. Proestakis et al. 10.5194/acp-19-11743-2019
- A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. 10.5194/amt-17-3625-2024
- CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design J. Tackett et al. 10.5194/amt-11-4129-2018
- Retrieving instantaneous extinction of aerosol undetected by the CALIPSO layer detection algorithm F. Mao et al. 10.5194/acp-22-10589-2022
- Including ash in UKESM1 model simulations of the Raikoke volcanic eruption reveals improved agreement with observations A. Wells et al. 10.5194/acp-23-3985-2023
- Aerosols in the central Arctic cryosphere: satellite and model integrated insights during Arctic spring and summer B. Swain et al. 10.5194/acp-24-5671-2024
- Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space X. Xu et al. 10.5194/amt-12-3269-2019
- Vertical distribution of aerosols and clouds over north-eastern South Asia: Aerosol-cloud interactions P. Dahutia et al. 10.1016/j.atmosenv.2019.116882
- A 13-year space-based climatological evolution of desert dust aerosols in the Middle East and North Africa regions observed by the CALIPSO S. Berhane et al. 10.1016/j.scitotenv.2024.174793
- A global analysis of diurnal variability in dust and dust mixture using CATS observations Y. Yu et al. 10.5194/acp-21-1427-2021
- The day-to-day co-variability between mineral dust and cloud glaciation: a proxy for heterogeneous freezing D. Villanueva et al. 10.5194/acp-20-2177-2020
- Novel aerosol extinction coefficients and lidar ratios over the ocean from CALIPSO–CloudSat: evaluation and global statistics D. Painemal et al. 10.5194/amt-12-2201-2019
- Vertical distribution of smoke aerosols over upper Indo-Gangetic Plain K. Vinjamuri et al. 10.1016/j.envpol.2019.113377
- Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 1: Climatology and trend P. Xian et al. 10.5194/acp-22-9915-2022
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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
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Latest update: 30 Mar 2025
