Articles | Volume 24, issue 9
https://doi.org/10.5194/acp-24-5603-2024
https://doi.org/10.5194/acp-24-5603-2024
Research article
 | 
15 May 2024
Research article |  | 15 May 2024

Observations of the macrophysical properties of cumulus cloud fields over the tropical western Pacific and their connection to meteorological variables

Michie Vianca De Vera, Larry Di Girolamo, Guangyu Zhao, Robert M. Rauber, Stephen W. Nesbitt, and Greg M. McFarquhar

Related authors

A closed-to-open cell mixed-phase cloud transition observed over the Nordic Seas under high aerosol loading and strong surface fluxes
Samuel Ephraim, Paquita Zuidema, Aaron Bansemer, Lintong Cai, Markus Petters, Elise Rosky, Jefferson R. Snider, Zhien Wang, Sarah Woods, Kevin Barry, Theresa Campos, Owen Cruikshank, Sabine Eckhardt, Nikolaos Evangeliou, Romanos Foskinis, Jeffrey R. French, Bart Geerts, Coltin Grasmick, Silvia Henning, Varun Kumar, Andreas Massling, Camille Mavis, Greg M. McFarquhar, Athanasios Nenes, Gunnar Noer, Ryan Patnaude, Russell Perkins, Lise Lotte Sorensen, Henrik Skov, Tyler Tatro, Florian Tornow, and Lu Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2026-2940,https://doi.org/10.5194/egusphere-2026-2940, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Evidence of cloud sensitivity to above-cloud CCN as a function of environmental stability in the Southeast Atlantic based on remote sensing observations
Emily D. Lenhardt, Lan Gao, Siddhant Gupta, Greg M. McFarquhar, Feng Xu, Richard A. Ferrare, Chris A. Hostetler, and Jens Redemann
EGUsphere, https://doi.org/10.5194/egusphere-2026-853,https://doi.org/10.5194/egusphere-2026-853, 2026
Short summary
Errors in stereoscopic retrievals of cloud top height for single-layer clouds
Jesse Loveridge and Larry Di Girolamo
Atmos. Meas. Tech., 18, 3009–3033, https://doi.org/10.5194/amt-18-3009-2025,https://doi.org/10.5194/amt-18-3009-2025, 2025
Short summary
Evaluating spectral cloud effective radius retrievals from the Enhanced MODIS Airborne Simulator (eMAS) during ORACLES
Kerry Meyer, Steven Platnick, G. Thomas Arnold, Nandana Amarasinghe, Daniel Miller, Jennifer Small-Griswold, Mikael Witte, Brian Cairns, Siddhant Gupta, Greg McFarquhar, and Joseph O'Brien
Atmos. Meas. Tech., 18, 981–1011, https://doi.org/10.5194/amt-18-981-2025,https://doi.org/10.5194/amt-18-981-2025, 2025
Short summary
Improved calculation of single-scattering properties of frozen droplets and frozen-droplet aggregates observed in deep convective clouds
Jeonggyu Kim, Sungmin Park, Greg M. McFarquhar, Anthony J. Baran, Joo Wan Cha, Kyoungmi Lee, Seoung Soo Lee, Chang Hoon Jung, Kyo-Sun Sunny Lim, and Junshik Um
Atmos. Chem. Phys., 24, 12707–12726, https://doi.org/10.5194/acp-24-12707-2024,https://doi.org/10.5194/acp-24-12707-2024, 2024
Short summary

Cited articles

Abrams, M.: The advanced spaceborne thermal emission and reflection radiometer (ASTER): Data products for the high spatial resolution imager on NASA's Terra platform, Int. J. Remote Sens., 21, 847–859, https://doi.org/10.1080/014311600210326, 2000. 
Ackerman, S. A. and Frey, R.: MODIS atmosphere L2 cloud mask product, NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA [data set], https://doi.org/10.5067/MODIS/MOD35_L2.006 (last access: 3 April 2023), 2015. 
Alley, R. and Jentoft-Nilsen, M.: Algorithm Theoretical Basis Document for: Brightness Temperature – Version 3.0, Jet Propulsion Laboratory, http://hdl.handle.net/2014/18629 (last access: 7 May 2024), 1999. 
Barron, N. R., Shawn, D. R., and Heus, T.: Reconciling chord length distributions and area distributions for fields of fractal cumulus clouds, Atmosphere, 11, 824, https://doi.org/10.3390/atmos11080824, 2020. 
Baum, B. A., Menzel, W. P., Frey, R. A., Tobin, D. C., Holz, R. E., Ackerman, S. A., Heidinger, A. K., and Yang, P.: MODIS cloud-top property refinements for collection 6, J. Appl. Meteorol. Clim., 51, 1145–1163, https://doi.org/10.1175/JAMC-D-11-0203.1, 2012. 
Download
Short summary
Tropical oceanic low clouds remain a dominant source of uncertainty in cloud feedback in climate models due to their macrophysical properties (fraction, size, height, shape, distribution) being misrepresented. High-resolution satellite imagery over the Philippine oceans is used here to characterize cumulus macrophysical properties and their relationship to meteorological variables. Such information can act as a benchmark for cloud models and can improve low-cloud generation in climate models.
Share
Altmetrics
Final-revised paper
Preprint