Articles | Volume 19, issue 13
https://doi.org/10.5194/acp-19-8879-2019
https://doi.org/10.5194/acp-19-8879-2019
Research article
 | 
12 Jul 2019
Research article |  | 12 Jul 2019

Is positive correlation between cloud droplet effective radius and aerosol optical depth over land due to retrieval artifacts or real physical processes?

Hailing Jia, Xiaoyan Ma, Johannes Quaas, Yan Yin, and Tom Qiu

Related authors

Exploring aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem–SBM model
Jianqi Zhao, Xiaoyan Ma, Johannes Quaas, and Hailing Jia
Atmos. Chem. Phys., 24, 9101–9118, https://doi.org/10.5194/acp-24-9101-2024,https://doi.org/10.5194/acp-24-9101-2024, 2024
Short summary
Exploring aerosol-cloud interactions over eastern China and its adjacent ocean using the WRF-SBM-MOSAIC model
Jianqi Zhao, Xiaoyan Ma, Johannes Quaas, and Hailing Jia
EGUsphere, https://doi.org/10.5194/egusphere-2023-331,https://doi.org/10.5194/egusphere-2023-331, 2023
Preprint archived
Short summary
Robust evidence for reversal of the trend in aerosol effective climate forcing
Johannes Quaas, Hailing Jia, Chris Smith, Anna Lea Albright, Wenche Aas, Nicolas Bellouin, Olivier Boucher, Marie Doutriaux-Boucher, Piers M. Forster, Daniel Grosvenor, Stuart Jenkins, Zbigniew Klimont, Norman G. Loeb, Xiaoyan Ma, Vaishali Naik, Fabien Paulot, Philip Stier, Martin Wild, Gunnar Myhre, and Michael Schulz
Atmos. Chem. Phys., 22, 12221–12239, https://doi.org/10.5194/acp-22-12221-2022,https://doi.org/10.5194/acp-22-12221-2022, 2022
Short summary
Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations
Hailing Jia, Johannes Quaas, Edward Gryspeerdt, Christoph Böhm, and Odran Sourdeval
Atmos. Chem. Phys., 22, 7353–7372, https://doi.org/10.5194/acp-22-7353-2022,https://doi.org/10.5194/acp-22-7353-2022, 2022
Short summary
Mixing state of black carbon and its impact on optical properties and radiative forcing over East Asia
Xiaoyan Ma, Hailing Jia, Rong Tian, Fangqun Yu, and Jiagnan Li
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-54,https://doi.org/10.5194/acp-2020-54, 2020
Preprint withdrawn
Short summary

Related subject area

Subject: Aerosols | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Influence of covariance of aerosol and meteorology on co-located precipitating and non-precipitating clouds over the Indo-Gangetic Plain
Nabia Gulistan, Khan Alam, and Yangang Liu
Atmos. Chem. Phys., 24, 11333–11349, https://doi.org/10.5194/acp-24-11333-2024,https://doi.org/10.5194/acp-24-11333-2024, 2024
Short summary
Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa
Myungje Choi, Alexei Lyapustin, Gregory L. Schuster, Sujung Go, Yujie Wang, Sergey Korkin, Ralph Kahn, Jeffrey S. Reid, Edward J. Hyer, Thomas F. Eck, Mian Chin, David J. Diner, Olga Kalashnikova, Oleg Dubovik, Jhoon Kim, and Hans Moosmüller
Atmos. Chem. Phys., 24, 10543–10565, https://doi.org/10.5194/acp-24-10543-2024,https://doi.org/10.5194/acp-24-10543-2024, 2024
Short summary
The emission, transport, and impacts of the extreme Saharan dust storm of 2015
Brian Harr, Bing Pu, and Qinjian Jin
Atmos. Chem. Phys., 24, 8625–8651, https://doi.org/10.5194/acp-24-8625-2024,https://doi.org/10.5194/acp-24-8625-2024, 2024
Short summary
California wildfire smoke contributes to a positive atmospheric temperature anomaly over the western United States
James L. Gomez, Robert J. Allen, and King-Fai Li
Atmos. Chem. Phys., 24, 6937–6963, https://doi.org/10.5194/acp-24-6937-2024,https://doi.org/10.5194/acp-24-6937-2024, 2024
Short summary
Remote Sensing detectability of airborne Arctic dust
Norman T. O’Neill, Keyvan Ranjbar, Liviu Ivănescu, Yann Blanchard, Seyed Ali Sayedain, and Yasmin AboEl-Fetouh
EGUsphere, https://doi.org/10.5194/egusphere-2024-1057,https://doi.org/10.5194/egusphere-2024-1057, 2024
Short summary

Cited articles

Albrecht, B.: Aerosols, Cloud Microphysics, and Fractional Cloudiness, Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989.  
Almeida, G. P., Brito, J., Morales, C. A., Andrade, M. F., and Artaxo, P.: Measured and modelled cloud condensation nuclei (CCN) concentration in São Paulo, Brazil: the importance of aerosol size-resolved chemical composition on CCN concentration prediction, Atmos. Chem. Phys., 14, 7559–7572, https://doi.org/10.5194/acp-14-7559-2014, 2014. 
Beard, K. V. and Ochs, H. T.: Warm-Rain Initiation: An Overview of Microphysical Mechanisms, J. Appl. Meteorol., 32, 608–625, 1993. 
Bréon, F.-M., Tanré, D., and Generoso, S.: Aerosol effect on cloud droplet size monitored from satellite, Science, 295, 834–838, 2002. 
Cahalan, R. F., Oreopoulos L., Wen G., Marshak A., Tsay S.-C., and DeFelice T.: Cloud characterization and clear sky correction from Landsat 7, Remote Sens. Environ., 78, 83–98, https://doi.org/10.1016/S0034-4257(01)00251-6, 2001. 
Download
Short summary
We systematically assess how and to what extent satellite retrieval biases may affect correlations, as well as explore the underlying physical mechanisms. It is noted that the retrieval biases of both cloud and aerosol can result in a serious overestimation of the slope of CER–AI. Positive correlations more likely to occur in the case of drier cloud top and stronger turbulence in clouds, implying entrainment mixing might be a possible physical interpretation for such a positive CER–AI slope.
Altmetrics
Final-revised paper
Preprint