Articles | Volume 16, issue 1
Atmos. Chem. Phys., 16, 47–69, 2016
Atmos. Chem. Phys., 16, 47–69, 2016

Research article 14 Jan 2016

Research article | 14 Jan 2016

Investigating the frequency and interannual variability in global above-cloud aerosol characteristics with CALIOP and OMI

R. Alfaro-Contreras et al.

Related authors

Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses, with implications for the impact of regional biomass burning processes
Peng Xian, Jianglong Zhang, Travis D. Toth, Blake Sorenson, Peter R. Colarco, Zak Kipling, Norm T. O'Neill, Edward J. Hyer, James R. Campell, Jeffrey S. Reid, and Keyvan Ranjbar
Atmos. Chem. Phys. Discuss.,,, 2021
Preprint under review for ACP
Short summary
A global analysis of diurnal variability in dust and dust mixture using CATS observations
Yan Yu, Olga V. Kalashnikova, Michael J. Garay, Huikyo Lee, Myungje Choi, Gregory S. Okin, John E. Yorks, James R. Campbell, and Jared Marquis
Atmos. Chem. Phys., 21, 1427–1447,,, 2021
Short summary
Development of an Ozone Monitoring Instrument (OMI) aerosol index (AI) data assimilation scheme for aerosol modeling over bright surfaces – a step toward direct radiance assimilation in the UV spectrum
Jianglong Zhang, Robert J. D. Spurr, Jeffrey S. Reid, Peng Xian, Peter R. Colarco, James R. Campbell, Edward J. Hyer, and Nancy L. Baker
Geosci. Model Dev., 14, 27–42,,, 2021
Short summary
Determining cloud thermodynamic phase from the polarized Micro Pulse Lidar
Jasper R. Lewis, James R. Campbell, Sebastian A. Stewart, Ivy Tan, Ellsworth J. Welton, and Simone Lolli
Atmos. Meas. Tech., 13, 6901–6913,,, 2020
Short summary
Assessing the stability of surface lights for use in retrievals of nocturnal atmospheric parameters
Jeremy E. Solbrig, Steven D. Miller, Jianglong Zhang, Lewis Grasso, and Anton Kliewer
Atmos. Meas. Tech., 13, 165–190,,, 2020
Short summary

Related subject area

Subject: Aerosols | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Three-dimensional climatology, trends, and meteorological drivers of global and regional tropospheric type-dependent aerosols: insights from 13 years (2007–2019) of CALIOP observations
Ke Gui, Huizheng Che, Yu Zheng, Hujia Zhao, Wenrui Yao, Lei Li, Lei Zhang, Hong Wang, Yaqiang Wang, and Xiaoye Zhang
Atmos. Chem. Phys., 21, 15309–15336,,, 2021
Short summary
Aerosol properties and aerosol–radiation interactions in clear-sky conditions over Germany
Jonas Witthuhn, Anja Hünerbein, Florian Filipitsch, Stefan Wacker, Stefanie Meilinger, and Hartwig Deneke
Atmos. Chem. Phys., 21, 14591–14630,,, 2021
Short summary
Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability
Qianqian Song, Zhibo Zhang, Hongbin Yu, Paul Ginoux, and Jerry Shen
Atmos. Chem. Phys., 21, 13369–13395,,, 2021
Short summary
Estimation of the vertical distribution of particle matter (PM2.5) concentration and its transport flux from lidar measurements based on machine learning algorithms
Yingying Ma, Yang Zhu, Hui Li, Shikuan Jin, Yiqun Zhang, Ruonan Fan, Boming Liu, and Wei Gong
Atmos. Chem. Phys. Discuss.,,, 2021
Revised manuscript accepted for ACP
Short summary
Aerosol optical properties derived from POLDER-3/PARASOL (2005–2013) over the Western Mediterranean Sea – Part 2: Spatial distribution and temporal variability
Isabelle Chiapello, Paola Formenti, Lydie Mbemba Kabuiku, Fabrice Ducos, Didier Tanré, and François Dulac
Atmos. Chem. Phys., 21, 12715–12737,,, 2021
Short summary

Cited articles

Ackerman, S. A., Strabala, K. I., Menzel, W. P., Frey, R. A, Moeller, C. C., and Gumley, L. E.: Discriminating clear sky from clouds with MODIS, J. Geophys. Res., 103, 32141–32157,, 1998.
Ackerman, S. A., Holz, R. E., Frey, R. E., Eloranta, R. W., Maddux, B., and McGill, M. J.: Cloud detection with MODIS: Part II. Validation, J. Atmos. Ocean. Tech., 25, 1073–1086, 2008.
Alfaro-Contreras, R., Zhang, J., Reid, J. S., Campbell, J. R., and Holz, R. E.: Evaluating the impact of aerosol particles above cloud on cloud optical depth retrievals from MODIS, J. Geophys. Res.-Atmos., 119, 5410–5423,, 2014.
Campbell, J. R., Tackett, J. L., Reid, J. S., Zhang, J., Curtis, C. A., Hyer, E. J., Sessions, W. R., Westphal, D. L., Prospero, J. M., Welton, E. J., Omar, A. H., Vaughan, M. A., and Winker, D. M.: Evaluating nighttime CALIOP 0.532 µm aerosol optical depth and extinction coefficient retrievals, Atmos. Meas. Tech., 5, 2143–2160,, 2012.
Campbell, J. R., Vaughan, M. A., Oo, M., Holz, R. E., Lewis, J. R., and Welton, E. J.: Distinguishing cirrus cloud presence in autonomous lidar measurements, Atmos. Meas. Tech., 8, 435–449,, 2015.
Short summary
The spatial distributions and trends of above-cloud aerosol (ACA) events are studied using seven and a half years of MODIS, OMI, and CALIOP data. The active- (CALIOP) and passive-based (MODIS-OMI) methods have their advantages and caveats, and thus both are used to get a thorough and robust comparison of ACA distribution and climatology. For the first time, baseline above-cloud CALIOP aerosol optical depth and OMI aerosol index thresholds are derived and examined for each sensor.
Final-revised paper