A New Look at the Daily Cycle of Trade Wind Cumuli.

daily cycle diurnal time scale high‐resolution models observations shallow clouds trade wind cumuli

Journal

Journal of advances in modeling earth systems
ISSN: 1942-2466
Titre abrégé: J Adv Model Earth Syst
Pays: United States
ID NLM: 101691496

Informations de publication

Date de publication:
Oct 2019
Historique:
received: 16 05 2019
revised: 02 08 2019
accepted: 05 08 2019
entrez: 3 1 2020
pubmed: 3 1 2020
medline: 3 1 2020
Statut: ppublish

Résumé

A description of the daily cycle of oceanic shallow cumulus for undisturbed boreal winter conditions in the North Atlantic trades is presented. Modern investigation tools are used, including storm-resolving and large-eddy simulations, runover large domains in realistic configurations, and observations from in situ measurements and satellite-based retrievals. Models and observations clearly show pronounced diurnal variations in cloudiness, both near cloud base and below the trade inversion. The daily cycle reflects the evolution of two cloud populations: (i) a population of nonprecipitating small cumuli with weak vertical extent, which grows during the day and maximizes around sunset, and (ii) a population o deeper precipitating clouds with a stratiform cloud layer below the trade inversion, which grows during the night and maximizes just before sunrise. Previous studies have reported that cloudiness near cloud base undergoes weak variations on time scales longer than a day. However, here we find that it can vary strongly at the diurnal time scale. This daily cycle could serve as a critical test of the models' representation of the physical processes controlling cloudiness near cloud base, which is thought to be key for the determination of the Earth's climate response to warming.

Identifiants

pubmed: 31894190
doi: 10.1029/2019MS001746
pii: JAME20960
pmc: PMC6919927
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3148-3166

Informations de copyright

©2019. The Authors.

Références

J Adv Model Earth Syst. 2016 Dec;8(4):1892-1911
pubmed: 28239438
Surv Geophys. 2017;38(6):1331-1353
pubmed: 29238118
J Adv Model Earth Syst. 2019 Oct;11(10):3148-3166
pubmed: 31894190
Surv Geophys. 2017;38(6):1529-1568
pubmed: 31997845

Auteurs

Jessica Vial (J)

Max-Planck-Institut für Meteorologie Hamburg Germany.

Raphaela Vogel (R)

Laboratoire de Météorologie Dynamique Universite Pierre et Marie Curie (UPMC) Paris France.

Sandrine Bony (S)

Laboratoire de Météorologie Dynamique Universite Pierre et Marie Curie (UPMC) Paris France.

Bjorn Stevens (B)

Max-Planck-Institut für Meteorologie Hamburg Germany.

David M Winker (DM)

NASA Langley Research Center Hampton VA USA.

Xia Cai (X)

Science Systems and Applications, Inc. Hampton VA USA.

Cathy Hohenegger (C)

Max-Planck-Institut für Meteorologie Hamburg Germany.

Ann Kristin Naumann (AK)

Max-Planck-Institut für Meteorologie Hamburg Germany.

Hélène Brogniez (H)

Laboratoire Atmosphères, Milieux Observations Spatiales Paris France.

Classifications MeSH