English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  The stochastic skeleton model for the Madden–Julian Oscillation with time-dependent observation-based forcing

Ehstand, N., Donner, R. V., López, C., Barreiro, M., Hernández-García, E. (2025): The stochastic skeleton model for the Madden–Julian Oscillation with time-dependent observation-based forcing. - Nonlinear Processes in Geophysics, 32, 367-382.
https://doi.org/10.5194/npg-32-367-2025

Item is

Files

show Files
hide Files
:
Ehstand_npg-32-367-2025.pdf (Publisher version), 4MB
Name:
Ehstand_npg-32-367-2025.pdf
Description:
-
OA-Status:
Gold
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show
hide
Description:
-
OA-Status:
Not specified

Creators

show
hide
 Creators:
Ehstand, Noémie1, Author
Donner, Reik V.2, Author           
López, Cristóbal1, Author
Barreiro, Marcelo1, Author
Hernández-García, Emilio1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: We analyze solutions to the stochastic skeleton model, a minimal non-linear oscillator model for the Madden–Julian Oscillation (MJO). This model has been recognized for its ability to reproduce several large-scale features of the MJO. In previous studies, the model's forcings were predominantly chosen to be mathematically simple and time-independent. Here, we present solutions to the model with time-dependent observation-based forcing functions. Our results show that the model, with these more realistic forcing functions, successfully replicates key characteristics of MJO events, such as their lifetime, extent, and amplitude, whose statistics agree well with observations. However, we find that the seasonality of MJO events and the spatial variations in the MJO properties are not well reproduced. Having implemented the model in the presence of time-dependent forcings, we can analyze the impact of temporal variability at different timescales. In particular, we study the model's ability to reflect changes in MJO characteristics under the different phases of El Niño–Southern Oscillation (ENSO). We find that it does not capture significant differences in the studied characteristics of MJO events in response to differences in conditions during El Niño, La Niña, and neutral ENSO.

Details

show
hide
Language(s): eng - English
 Dates: 2025-10-062025-10-06
 Publication Status: Finally published
 Pages: 16
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.5194/npg-32-367-2025
MDB-ID: No MDB - stored outside PIK (see locators/paper)
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Atmosphere
Regional keyword: Global
OATYPE: Gold Open Access
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : CAFE
Grant ID : 813844
Funding program : EU Horizon 2020
Funding organization : EU

Source 1

show
hide
Title: Nonlinear Processes in Geophysics
Source Genre: Journal, SCI, Scopus, p3, oa
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 32 Sequence Number: - Start / End Page: 367 - 382 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals364
Publisher: Copernicus