Articles | Volume 21, issue 16
https://doi.org/10.5194/acp-21-12261-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-12261-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Aug 2021
Research article |
| 16 Aug 2021
| 16 Aug 2021
Deciphering organization of GOES-16 green cumulus through the empirical orthogonal function (EOF) lens
Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
Mickaël D. Chekroun
Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
Orit Altaratz
Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
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Short summary
A part of continental shallow convective cumulus (Cu) was shown to share properties such as organization and formation over vegetated areas, thus named green Cu. Mechanisms behind the formed patterns are not understood. We use different metrics and an empirical orthogonal function (EOF) to decompose the dataset and quantify organization factors (cloud streets and gravity waves). We show that clouds form a highly organized grid structure over hundreds of kilometers at the field lifetime.
A part of continental shallow convective cumulus (Cu) was shown to share properties such as...
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