---
_id: '14564'
abstract:
- lang: eng
text: Cumulus parameterization (CP) in state‐of‐the‐art global climate models is
based on the quasi‐equilibrium assumption (QEA), which views convection as the
action of an ensemble of cumulus clouds, in a state of equilibrium with respect
to a slowly varying atmospheric state. This view is not compatible with the organization
and dynamical interactions across multiple scales of cloud systems in the tropics
and progress in this research area was slow over decades despite the widely recognized
major shortcomings. Novel ideas on how to represent key physical processes of
moist convection‐large‐scale interaction to overcome the QEA have surged recently.
The stochastic multicloud model (SMCM) CP in particular mimics the dynamical interactions
of multiple cloud types that characterize organized tropical convection. Here,
the SMCM is used to modify the Zhang‐McFarlane (ZM) CP by changing the way in
which the bulk mass flux and bulk entrainment and detrainment rates are calculated.
This is done by introducing a stochastic ensemble of plumes characterized by randomly
varying detrainment level distributions based on the cloud area fraction of the
SMCM. The SMCM is here extended to include shallow cumulus clouds resulting in
a unified shallow‐deep CP. The new stochastic multicloud plume CP is validated
against the control ZM scheme in the context of the single column Community Climate
Model of the National Center for Atmospheric Research using data from both tropical
ocean and midlatitude land convection. Some key features of the SMCM CP such as
it capability to represent the tri‐modal nature of organized convection are emphasized.
acknowledgement: The research of B.K. is supported in part by a Discovery Grant from
the Natural Sciences and Engineering Research Council of Canada (RGPIN-04246-2020).
This research was conducted during the visits of P.M. Krishna to the Center for
Prototype Climate Models at NYU Abu Dhabi and University of Victoria from November
2018 to June 2019 and July 2019 and October 2019, respectively. The authors are
very grateful to the three anonymous reviewers who provided very thoughtful and
constructive comments during the review process that helped greatly improve and
shape the final version of the manuscript.
article_number: e2022MS003391
article_processing_charge: Yes
article_type: original
author:
- first_name: B.
full_name: Khouider, B.
last_name: Khouider
- first_name: BIDYUT B
full_name: GOSWAMI, BIDYUT B
id: 3a4ac09c-6d61-11ec-bf66-884cde66b64b
last_name: GOSWAMI
orcid: 0000-0001-8602-3083
- first_name: R.
full_name: Phani, R.
last_name: Phani
- first_name: A. J.
full_name: Majda, A. J.
last_name: Majda
citation:
ama: Khouider B, GOSWAMI BB, Phani R, Majda AJ. A shallow‐deep unified stochastic
mass flux cumulus parameterization in the single column community climate model.
Journal of Advances in Modeling Earth Systems. 2023;15(11). doi:10.1029/2022ms003391
apa: Khouider, B., GOSWAMI, B. B., Phani, R., & Majda, A. J. (2023). A shallow‐deep
unified stochastic mass flux cumulus parameterization in the single column community
climate model. Journal of Advances in Modeling Earth Systems. American
Geophysical Union. https://doi.org/10.1029/2022ms003391
chicago: Khouider, B., BIDYUT B GOSWAMI, R. Phani, and A. J. Majda. “A Shallow‐deep
Unified Stochastic Mass Flux Cumulus Parameterization in the Single Column Community
Climate Model.” Journal of Advances in Modeling Earth Systems. American
Geophysical Union, 2023. https://doi.org/10.1029/2022ms003391.
ieee: B. Khouider, B. B. GOSWAMI, R. Phani, and A. J. Majda, “A shallow‐deep unified
stochastic mass flux cumulus parameterization in the single column community climate
model,” Journal of Advances in Modeling Earth Systems, vol. 15, no. 11.
American Geophysical Union, 2023.
ista: Khouider B, GOSWAMI BB, Phani R, Majda AJ. 2023. A shallow‐deep unified stochastic
mass flux cumulus parameterization in the single column community climate model.
Journal of Advances in Modeling Earth Systems. 15(11), e2022MS003391.
mla: Khouider, B., et al. “A Shallow‐deep Unified Stochastic Mass Flux Cumulus Parameterization
in the Single Column Community Climate Model.” Journal of Advances in Modeling
Earth Systems, vol. 15, no. 11, e2022MS003391, American Geophysical Union,
2023, doi:10.1029/2022ms003391.
short: B. Khouider, B.B. GOSWAMI, R. Phani, A.J. Majda, Journal of Advances in Modeling
Earth Systems 15 (2023).
date_created: 2023-11-20T09:18:21Z
date_published: 2023-11-01T00:00:00Z
date_updated: 2025-09-09T13:29:45Z
day: '01'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1029/2022ms003391
external_id:
isi:
- '001106311000001'
file:
- access_level: open_access
checksum: e30329dd985559de0ddc7021ca7382b4
content_type: application/pdf
creator: dernst
date_created: 2023-11-20T11:29:16Z
date_updated: 2023-11-20T11:29:16Z
file_id: '14582'
file_name: 2023_JAMES_Khoulder.pdf
file_size: 6435697
relation: main_file
success: 1
file_date_updated: 2023-11-20T11:29:16Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
issue: '11'
keyword:
- General Earth and Planetary Sciences
- Environmental Chemistry
- Global and Planetary Change
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '11'
oa: 1
oa_version: Published Version
publication: Journal of Advances in Modeling Earth Systems
publication_identifier:
eissn:
- 1942-2466
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: A shallow‐deep unified stochastic mass flux cumulus parameterization in the
single column community climate model
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 15
year: '2023'
...