An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP<sup>2</sup>Ex

Fu, Dongwei; Di Girolamo, Larry; Rauber, Robert M.; McFarquhar, Greg M.; Nesbitt, Stephen W.; Loveridge, Jesse; Hong, Yulan; van Diedenhoven, Bastiaan; Cairns, Brian; Alexandrov, Mikhail D.; Lawson, Paul; Woods, Sarah; Tanelli, Simone; Schmidt, Sebastian; Hostetler, Chris; Scarino, Amy Jo

doi:https://doi.org/10.5194/acp-22-8259-2022

Articles | Volume 22, issue 12

https://doi.org/10.5194/acp-22-8259-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Cloud, Aerosol and Monsoon Processes Philippines Experiment...

https://doi.org/10.5194/acp-22-8259-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 12

Research article

|

27 Jun 2022

Research article |

| 27 Jun 2022

An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP²Ex

Dongwei Fu, Larry Di Girolamo, Robert M. Rauber, Greg M. McFarquhar, Stephen W. Nesbitt, Jesse Loveridge, Yulan Hong, Bastiaan van Diedenhoven, Brian Cairns, Mikhail D. Alexandrov, Paul Lawson, Sarah Woods, Simone Tanelli, Sebastian Schmidt, Chris Hostetler, and Amy Jo Scarino

Supplement

https://doi.org/10.5194/acp-22-8259-2022-supplement

Data sets

CAMP2Ex datasets CAMP2Ex Science Team https://www-air.larc.nasa.gov/cgi-bin/ArcView/camp2ex

MODIS Collection 6.1 cloud products Steven Platnick, Kerry G. Meyer, Michael D. King, Galina Wind, Nandana Amarasinghe, Benjamin Marchant, G. Thomas Arnold, Zhibo Zhang, Paul A. Hubanks, Robert E. Holz, Ping Yang, William L. Ridgway, and Jérôme Riedi https://doi.org/10.5067/MODIS/MOD06_L2.061

MODIS Level 1B Calibrated radiances at 250m MODIS Characterization Support Team https://doi.org/10.5067/MODIS/MOD02QKM.061

MODIS Level 1B Calibrated radiances at 500m MODIS Characterization Support Team https://doi.org/10.5067/MODIS/MOD02HKM.061

MODIS bias-adjusted Re correction factors Dongwei Fu https://doi.org/10.17632/j4r72zxc6g.2

AHI official cloud property product Husi Letu, Kun Yang, Takashi Y. Nakajima, Hiroshi Ishimoto, Takashi M. Nagao, Jérôme Riedi, Anthony J. Baran, Run Ma, Tianxing Wang, Huazhe Shang, Pradeep Khatri, Liangfu Chen, Chunxiang Shi, and Jiancheng Shi https://www.eorc.jaxa.jp/ptree/index.html

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Short summary

Satellite-retrieved cloud microphysics are widely used in climate research because of their central role in water and energy cycles. Here, we provide the first detailed investigation of retrieved cloud drop sizes from in situ and various satellite and airborne remote sensing techniques applied to real cumulus cloud fields. We conclude that the most widely used passive remote sensing method employed in climate research produces high biases of 6–8 µm (60 %–80 %) caused by 3-D radiative effects.

An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP2Ex

Supplement

Data sets

An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP²Ex