Articles | Volume 15, issue 3
https://doi.org/10.5194/acp-15-1237-2015
https://doi.org/10.5194/acp-15-1237-2015
Research article
 | 
05 Feb 2015
Research article |  | 05 Feb 2015

On the relationship between open cellular convective cloud patterns and the spatial distribution of precipitation

T. Yamaguchi and G. Feingold

Related authors

Combining regional mesh refinement with vertically enhanced physics to target marine stratocumulus biases as demonstrated in the Energy Exascale Earth System Model version 1
Peter A. Bogenschutz, Hsiang-He Lee, Qi Tang, and Takanobu Yamaguchi
Geosci. Model Dev., 16, 335–352, https://doi.org/10.5194/gmd-16-335-2023,https://doi.org/10.5194/gmd-16-335-2023, 2023
Short summary
Cloud adjustments from large-scale smoke–circulation interactions strongly modulate the southeastern Atlantic stratocumulus-to-cumulus transition
Michael S. Diamond, Pablo E. Saide, Paquita Zuidema, Andrew S. Ackerman, Sarah J. Doherty, Ann M. Fridlind, Hamish Gordon, Calvin Howes, Jan Kazil, Takanobu Yamaguchi, Jianhao Zhang, Graham Feingold, and Robert Wood
Atmos. Chem. Phys., 22, 12113–12151, https://doi.org/10.5194/acp-22-12113-2022,https://doi.org/10.5194/acp-22-12113-2022, 2022
Short summary
Segmentation-based multi-pixel cloud optical thickness retrieval using a convolutional neural network
Vikas Nataraja, Sebastian Schmidt, Hong Chen, Takanobu Yamaguchi, Jan Kazil, Graham Feingold, Kevin Wolf, and Hironobu Iwabuchi
Atmos. Meas. Tech., 15, 5181–5205, https://doi.org/10.5194/amt-15-5181-2022,https://doi.org/10.5194/amt-15-5181-2022, 2022
Short summary
Quantifying albedo susceptibility biases in shallow clouds
Graham Feingold, Tom Goren, and Takanobu Yamaguchi
Atmos. Chem. Phys., 22, 3303–3319, https://doi.org/10.5194/acp-22-3303-2022,https://doi.org/10.5194/acp-22-3303-2022, 2022
Short summary
An emulator approach to stratocumulus susceptibility
Franziska Glassmeier, Fabian Hoffmann, Jill S. Johnson, Takanobu Yamaguchi, Ken S. Carslaw, and Graham Feingold
Atmos. Chem. Phys., 19, 10191–10203, https://doi.org/10.5194/acp-19-10191-2019,https://doi.org/10.5194/acp-19-10191-2019, 2019
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Evaluation of hygroscopic cloud seeding in warm-rain processes by a hybrid microphysics scheme using a Weather Research and Forecasting (WRF) model: a real case study
Kai-I Lin, Kao-Shen Chung, Sheng-Hsiang Wang, Li-Hsin Chen, Yu-Chieng Liou, Pay-Liam Lin, Wei-Yu Chang, Hsien-Jung Chiu, and Yi-Hui Chang
Atmos. Chem. Phys., 23, 10423–10438, https://doi.org/10.5194/acp-23-10423-2023,https://doi.org/10.5194/acp-23-10423-2023, 2023
Short summary
Radiation fog properties in two consecutive events under polluted and clean conditions in the Yangtze River Delta, China: a simulation study
Naifu Shao, Chunsong Lu, Xingcan Jia, Yuan Wang, Yubin Li, Yan Yin, Bin Zhu, Tianliang Zhao, Duanyang Liu, Shengjie Niu, Shuxian Fan, Shuqi Yan, and Jingjing Lv
Atmos. Chem. Phys., 23, 9873–9890, https://doi.org/10.5194/acp-23-9873-2023,https://doi.org/10.5194/acp-23-9873-2023, 2023
Short summary
A bin microphysics parcel model investigation of secondary ice formation in an idealised shallow convective cloud
Rachel L. James, Jonathan Crosier, and Paul J. Connolly
Atmos. Chem. Phys., 23, 9099–9121, https://doi.org/10.5194/acp-23-9099-2023,https://doi.org/10.5194/acp-23-9099-2023, 2023
Short summary
Influence of atmospheric rivers and associated weather systems on precipitation in the Arctic
Melanie Lauer, Annette Rinke, Irina Gorodetskaya, Michael Sprenger, Mario Mech, and Susanne Crewell
Atmos. Chem. Phys., 23, 8705–8726, https://doi.org/10.5194/acp-23-8705-2023,https://doi.org/10.5194/acp-23-8705-2023, 2023
Short summary
Insights of warm-cloud biases in Community Atmospheric Model 5 and 6 from the single-column modeling framework and Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) observations
Yuan Wang, Xiaojian Zheng, Xiquan Dong, Baike Xi, and Yuk L. Yung
Atmos. Chem. Phys., 23, 8591–8605, https://doi.org/10.5194/acp-23-8591-2023,https://doi.org/10.5194/acp-23-8591-2023, 2023
Short summary

Cited articles

Berner, A. H., Bretherton, C. S., and Wood, R.: Large-eddy simulation of mesoscale dynamics and entrainment around a pocket of open cells observed in VOCALS-REx RF06, Atmos. Chem. Phys., 11, 10525–10540, https://doi.org/10.5194/acp-11-10525-2011, 2011.
Berner, A. H., Bretherton, C. S., Wood, R., and Muhlbauer, A.: Marine boundary layer cloud regimes and POC formation in a CRM coupled to a bulk aerosol scheme, Atmos. Chem. Phys., 13, 12549–12572, https://doi.org/10.5194/acp-13-12549-2013, 2013.
Bohren, C. F.: Multiple scattering of light and some of its observable consequences, Am. J. Phys., 55, 524–533, 1987.
Bretherton, C. S., Blossey, P. N., and Uchida, J.: Cloud droplet sedimentation, entrainment efficiency, and subtropical stratocumulus albedo, Geophys. Res. Lett., 34, L03813, https://doi.org/10.1029/2006GL027648, 2007.
Download
Short summary
Precipitation is necessary but insufficient for transformation to open cells from closed cells. The transformation to open cells occurs for sufficiently small droplet number concentration and/or large rain area. Both of these factors appear to be of similar importance. The distance selects the resulting state for rain regions that alone are too weak to initiate the transformation. The phase trajectory of the variance and mean cloud field properties follow one path.
Altmetrics
Final-revised paper
Preprint