Articles | Volume 18, issue 4
https://doi.org/10.5194/acp-18-3065-2018
https://doi.org/10.5194/acp-18-3065-2018
Research article
 | 
02 Mar 2018
Research article |  | 02 Mar 2018

Contrasting the co-variability of daytime cloud and precipitation over tropical land and ocean

Daeho Jin, Lazaros Oreopoulos, Dongmin Lee, Nayeong Cho, and Jackson Tan

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Cited articles

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Cho, H.-M., Zhang, Z., Meyer, K., Lebsock, M., Platnick, S., Ackerman, A. S., Di Girolamo, L., C.-Labonnote, L., Cornet, C., Riedi, J., and Holz, R. E.: Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans, J. Geophys. Res.-Atmos., 120, 4132–4154, https://doi.org/10.1002/2015JD023161, 2015. 
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To what degree can precipitation be predicted given information about clouds? Or, conversely, with precipitation information at hand, can we provide good guesses about the clouds responsible? To answer these questions, we performed joint analysis of rainfall and cloud data, which are significantly decoupled. We find that only for the deepest and thickest clouds does cloud amount relate strongly with the intensity of rainfall, and that the details are different over oceans and land.
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