Articles | Volume 15, issue 6
https://doi.org/10.5194/acp-15-3241-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-3241-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Mar 2015
Research article |
| 23 Mar 2015
Spaceborne observations of the lidar ratio of marine aerosols
K. W. Dawson
Marine, Earth, and Atmospheric Science, North Carolina State University, Raleigh, NC, USA
Marine, Earth, and Atmospheric Science, North Carolina State University, Raleigh, NC, USA
D. Josset
Science Systems and Applications, Inc./NASA Langley Research Center, Hampton, VA, USA
now at: Naval Research Laboratory, Stennis Space Center, Mississippi, USA
GESTAR/Morgan State University, Goddard Space Flight Center, Greenbelt, MD, USA
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29 citations as recorded by crossref.
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- Quantifying the low bias of CALIPSO's column aerosol optical depth due to undetected aerosol layers M. Kim et al. https://doi.org/10.1002/2016JD025797
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29 citations as recorded by crossref.
- Interrelations between surface, boundary layer, and columnar aerosol properties derived in summer and early autumn over a continental urban site in Warsaw, Poland D. Wang et al. https://doi.org/10.5194/acp-19-13097-2019
- Minimum aerosol layer detection sensitivities and their subsequent impacts on aerosol optical thickness retrievals in CALIPSO level 2 data products T. Toth et al. https://doi.org/10.5194/amt-11-499-2018
- New Estimates of Aerosol Direct Radiative Effects and Forcing From A‐Train Satellite Observations A. Matus et al. https://doi.org/10.1029/2019GL083656
- On the bubble-bubbleless ocean continuum and its meaning for the LiDAR equation: LiDAR measurement of underwater bubble properties during storm conditions D. Josset et al. https://doi.org/10.1364/OE.515936
- 基于Fernald算法的大气分层迭代反演算法 沈. Shen Fahua et al. https://doi.org/10.3788/AOS251159
- Droplet concentration in water spray using short-range elastic backscatter lidar C. Ledent et al. https://doi.org/10.1364/OE.563691
- Backscatter ratios for nonspherical ice crystals in cirrus clouds calculated by geometrical-optics-integral-equation method K. Masuda & H. Ishimoto https://doi.org/10.1016/j.jqsrt.2017.01.024
- The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. https://doi.org/10.5194/amt-11-6107-2018
- Triple-wavelength depolarization-ratio profiling of Saharan dust over Barbados during SALTRACE in 2013 and 2014 M. Haarig et al. https://doi.org/10.5194/acp-17-10767-2017
- A new lidar inversion method using a surface reference target applied to the backscattering coefficient and lidar ratio retrievals of a fog-oil plume at short range F. Gaudfrin et al. https://doi.org/10.5194/amt-13-1921-2020
- Evaluation of forward-modelled attenuated backscatter using an urban ceilometer network in London under clear-sky conditions E. Warren et al. https://doi.org/10.1016/j.atmosenv.2018.04.045
- The potential of elastic and polarization lidars to retrieve extinction profiles E. Giannakaki et al. https://doi.org/10.5194/amt-13-893-2020
- Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models K. Dawson et al. https://doi.org/10.1002/2017JD026913
- Profiling of Saharan dust from the Caribbean to western Africa – Part 1: Layering structures and optical properties from shipborne polarization/Raman lidar observations F. Rittmeister et al. https://doi.org/10.5194/acp-17-12963-2017
- Aerosol type classification analysis using EARLINET multiwavelength and depolarization lidar observations M. Mylonaki et al. https://doi.org/10.5194/acp-21-2211-2021
- Optical properties of water-coated sea salt model particles F. Kanngießer & M. Kahnert https://doi.org/10.1364/OE.437680
- A Shipborne Photon-Counting Lidar for Depth-Resolved Ocean Observation X. Shen et al. https://doi.org/10.3390/rs14143351
- Assessment of tropospheric CALIPSO Version 4.2 aerosol types over the ocean using independent CALIPSO–SODA lidar ratios Z. Li et al. https://doi.org/10.5194/amt-15-2745-2022
- Effect of wind speed on marine aerosol optical properties over remote oceans with use of spaceborne lidar observations K. Sun et al. https://doi.org/10.5194/acp-24-4389-2024
- On the Use of CALIPSO Land Surface Returns to Retrieve Aerosol and Cloud Optical Depths D. Josset et al. https://doi.org/10.1109/TGRS.2018.2796850
- Mapping 532 nm lidar ratios for CALIPSO-classified marine aerosols using MODIS AOD constrained retrievals and GOCART model simulations T. Toth et al. https://doi.org/10.5194/amt-18-6765-2025
- An automatic observation-based aerosol typing method for EARLINET N. Papagiannopoulos et al. https://doi.org/10.5194/acp-18-15879-2018
- Theoretical derivation of aerosol lidar ratio using Mie theory for CALIOP-CALIPSO and OPAC aerosol models R. Chipade & M. Pandya https://doi.org/10.5194/amt-16-5443-2023
- Micro-Pulse Lidar Cruising Measurements in Northern South China Sea Y. Li et al. https://doi.org/10.3390/rs12101695
- Novel aerosol extinction coefficients and lidar ratios over the ocean from CALIPSO–CloudSat: evaluation and global statistics D. Painemal et al. https://doi.org/10.5194/amt-12-2201-2019
- Ocean Optical Profiling in South China Sea Using Airborne LiDAR P. Chen & D. Pan https://doi.org/10.3390/rs11151826
- Quantifying the low bias of CALIPSO's column aerosol optical depth due to undetected aerosol layers M. Kim et al. https://doi.org/10.1002/2016JD025797
- Lidar observations of cirrus clouds in Palau (7°33′ N, 134°48′ E) F. Cairo et al. https://doi.org/10.5194/acp-21-7947-2021
- 激光雷达比历史数据的模糊综合评价研究 胡. Hu Xianzhe et al. https://doi.org/10.3788/AOS231150
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