---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '20319'
abstract:
- lang: eng
  text: The time needed by deep convection to bring the atmosphere back to equilibrium
    is called convective adjustment timescale or simply adjustment timescale, typically
    denoted by . In the Community Atmospheric Model|Community Atmosphere Model (CAM),  is
    the convective available potential energy (CAPE) relaxation timescale and is 1 hr,
    worldwide. Observational evidence suggests that  is generally longer than 1 hr.
    Further, continental and oceanic convection are different in terms of the vigor
    of updrafts and can have different longevities. So using  hour worldwide in CAM
    has two potential caveats. A longer  improves the simulation of the mean climate.
    However, it does not address the land‐ocean heterogeneity of atmospheric deep
    convection. We investigate the prescription of two different CAPE relaxation timescales
    for land ( hr) and ocean ( to 4 hr). It is arguably an extremely crude parameterization
    of boundary layer control on atmospheric convection. We contrast a suite of 5‐year‐long
    simulations with two different  for land and ocean to having one  globally. The
    choice of longer  over ocean is guided by previous studies and inspired by observational
    pieces of evidence. Nonetheless, to complement our variable  experiments, we perform
    a simulation with  hr and  hrs. Most importantly, our key findings are immune
    to the exact values of prescribed  and . The CAM model, with two  values , improves
    convective‐stratiform rainfall partitioning and the Madden–Julian oscillation
    propagation characteristics.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: The authors gratefully acknowledge funding from the European Research
  Council (ERC) under the European Union's Horizon 2020 research and innovation program
  (Project CLUSTER, Grant 805041). This research was supported by the Scientific Service
  Units (SSU) of ISTA through resources provided by Scientific Computing (SciComp).
  We would like to thank Prof. Courtney Schumacher and Dr. Aaron Funk of Texas A&M
  University for their help in understanding the TRMM Radar data. The authors are
  grateful to two anonymous reviewers who helped improve the quality of this paper.
article_number: e2025MS005035
article_processing_charge: Yes
article_type: original
author:
- 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: Andrea
  full_name: Polesello, Andrea
  id: 74c777f4-32da-11ee-b498-874db0835561
  last_name: Polesello
- first_name: Caroline J
  full_name: Muller, Caroline J
  id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
  last_name: Muller
  orcid: 0000-0001-5836-5350
citation:
  ama: GOSWAMI BB, Polesello A, Muller CJ. An assessment of representing land‐ocean
    heterogeneity via CAPE relaxation timescale in the Community Atmospheric Model
    6 (CAM6). <i>Journal of Advances in Modeling Earth Systems</i>. 2025;17(9). doi:<a
    href="https://doi.org/10.1029/2025ms005035">10.1029/2025ms005035</a>
  apa: GOSWAMI, B. B., Polesello, A., &#38; Muller, C. J. (2025). An assessment of
    representing land‐ocean heterogeneity via CAPE relaxation timescale in the Community
    Atmospheric Model 6 (CAM6). <i>Journal of Advances in Modeling Earth Systems</i>.
    Wiley. <a href="https://doi.org/10.1029/2025ms005035">https://doi.org/10.1029/2025ms005035</a>
  chicago: GOSWAMI, BIDYUT B, Andrea Polesello, and Caroline J Muller. “An Assessment
    of Representing Land‐ocean Heterogeneity via CAPE Relaxation Timescale in the
    Community Atmospheric Model 6 (CAM6).” <i>Journal of Advances in Modeling Earth
    Systems</i>. Wiley, 2025. <a href="https://doi.org/10.1029/2025ms005035">https://doi.org/10.1029/2025ms005035</a>.
  ieee: B. B. GOSWAMI, A. Polesello, and C. J. Muller, “An assessment of representing
    land‐ocean heterogeneity via CAPE relaxation timescale in the Community Atmospheric
    Model 6 (CAM6),” <i>Journal of Advances in Modeling Earth Systems</i>, vol. 17,
    no. 9. Wiley, 2025.
  ista: GOSWAMI BB, Polesello A, Muller CJ. 2025. An assessment of representing land‐ocean
    heterogeneity via CAPE relaxation timescale in the Community Atmospheric Model
    6 (CAM6). Journal of Advances in Modeling Earth Systems. 17(9), e2025MS005035.
  mla: GOSWAMI, BIDYUT B., et al. “An Assessment of Representing Land‐ocean Heterogeneity
    via CAPE Relaxation Timescale in the Community Atmospheric Model 6 (CAM6).” <i>Journal
    of Advances in Modeling Earth Systems</i>, vol. 17, no. 9, e2025MS005035, Wiley,
    2025, doi:<a href="https://doi.org/10.1029/2025ms005035">10.1029/2025ms005035</a>.
  short: B.B. GOSWAMI, A. Polesello, C.J. Muller, Journal of Advances in Modeling
    Earth Systems 17 (2025).
corr_author: '1'
date_created: 2025-09-10T05:36:16Z
date_published: 2025-09-01T00:00:00Z
date_updated: 2025-09-10T08:14:28Z
day: '01'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1029/2025ms005035
ec_funded: 1
file:
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  date_created: 2025-09-10T08:12:34Z
  date_updated: 2025-09-10T08:12:34Z
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file_date_updated: 2025-09-10T08:12:34Z
has_accepted_license: '1'
intvolume: '        17'
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 629205d8-2b32-11ec-9570-e1356ff73576
  call_identifier: H2020
  grant_number: '805041'
  name: Organization of CLoUdS, and implications of Tropical  cyclones and for the
    Energetics of the tropics, in current and waRming climate
publication: Journal of Advances in Modeling Earth Systems
publication_identifier:
  eissn:
  - 1942-2466
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: An assessment of representing land‐ocean heterogeneity via CAPE relaxation
  timescale in the Community Atmospheric Model 6 (CAM6)
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 17
year: '2025'
...
