Sugar, Gravel, Fish, and Flowers: Dependence of Mesoscale Patterns of Trade-Wind Clouds on Environmental Conditions.
low‐cloud feedback
mesoscale organization
shallow convection
trade‐wind clouds
Journal
Geophysical research letters
ISSN: 0094-8276
Titre abrégé: Geophys Res Lett
Pays: United States
ID NLM: 9882887
Informations de publication
Date de publication:
16 Apr 2020
16 Apr 2020
Historique:
received:
25
10
2019
revised:
11
12
2019
accepted:
05
01
2020
entrez:
28
7
2020
pubmed:
28
7
2020
medline:
28
7
2020
Statut:
ppublish
Résumé
Trade-wind clouds exhibit a large diversity of spatial organizations at the mesoscale. Over the tropical western Atlantic, a recent study has visually identified four prominent mesoscale patterns of shallow convection, referred to as flowers, fish, gravel, and sugar. We show that these four patterns can be identified objectively from satellite observations by analyzing the spatial distribution of infrared brightness temperatures. By applying this analysis to 19 years of data, we examine relationships between cloud patterns and large-scale environmental conditions. This investigation reveals that on daily and interannual timescales, the near-surface wind speed and the strength of the lower-tropospheric stability discriminate the occurrence of the different organization patterns. These results, combined with the tight relationship between cloud patterns, low-level cloud amount, and cloud-radiative effects, suggest that the mesoscale organization of shallow clouds might change under global warming. The role of shallow convective organization in determining low-cloud feedback should thus be investigated.
Identifiants
pubmed: 32713982
doi: 10.1029/2019GL085988
pii: GRL60093
pmc: PMC7375147
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e2019GL085988Informations de copyright
©2020. The Authors.
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