A Python diagnostics package for evaluation of Madden–Julian Oscillation (MJO) teleconnections in subseasonal-to-seasonal (S2S) forecast systems

Abstract. The Madden–Julian Oscillation (MJO) teleconnections diagnostics package is an open-source Python software package that provides process-level evaluation of MJO teleconnections predicted by subseasonal-to-seasonal (S2S) forecast systems. The package provides in-depth process-level evaluation of both tropospheric and stratospheric pathways defining the atmospheric teleconnections from the tropics to the extratropics on S2S time scales. The analyses include the comparison of a forecast model with a default verification dataset or user-provided verification data. The package consists of a user-friendly graphical user interface (GUI), which allows the package to be applied to both operational and research models. This approach allows for efficient data management and the reproducibility of the analysis.

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Publication Details

Journal
Geoscientific model development
Published
2025-10-28
DOI
https://doi.org/10.5194/gmd-18-7969-2025
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
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article

A Python diagnostics package for evaluation of Madden–Julian Oscillation (MJO) teleconnections in subseasonal-to-seasonal (S2S) forecast systems

Cheng Zheng, Jiabao Wang, Zheng Wu, Andrea M. Jenney et al.
Geoscientific model development
Atmospheric Ozone and Climate
article

A Python diagnostics package for evaluation of Madden–Julian Oscillation (MJO) teleconnections in subseasonal-to-seasonal (S2S) forecast systems

Cheng Zheng, Jiabao Wang, Zheng Wu, Andrea M. Jenney, Ayush Singh, Chaim I. Garfinkel, Cristiana Stan, Hyemi Kim, Saisri Kollapaneni
article en

Abstract

Abstract. The Madden–Julian Oscillation (MJO) teleconnections diagnostics package is an open-source Python software package that provides process-level evaluation of MJO teleconnections predicted by subseasonal-to-seasonal (S2S) forecast systems. The package provides in-depth process-level evaluation of both tropospheric and stratospheric pathways defining the atmospheric teleconnections from the tropics to the extratropics on S2S time scales. The analyses include the comparison of a forecast model with a default verification dataset or user-provided verification data. The package consists of a user-friendly graphical user interface (GUI), which allows the package to be applied to both operational and research models. This approach allows for efficient data management and the reproducibility of the analysis.

Geoscientific model developmentVol. 18(20)
Oregon State University (US), Ewha Womans University (KR), Scripps Institution of Oceanography (US), Lamont-Doherty Earth Observatory (US), George Mason University (US), Hebrew University of Jerusalem (IL), University at Albany, State University of New York (US), Stony Brook University (US), Columbia University (US)
Openalex Percentile: Top 64%
Atmospheric Ozone and Climate
DOIOpen Access PDFOpenAlex
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A Python diagnostics package for evaluation of Madden–Julian Oscillation (MJO) teleconnections in subseasonal-to-seasonal (S2S) forecast systems — Cheng Zheng, Jiabao Wang, et al. · Geoscientific model development (2025) | TGRS Research Map | TGRS