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

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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. 
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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. 
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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.
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