Bibliographic Details
| Title: |
A Python diagnostics package for evaluation of Madden–Julian Oscillation (MJO) teleconnections in subseasonal-to-seasonal (S2S) forecast systems. |
| Authors: |
Stan, Cristiana, Kollapaneni, Saisri, Jenney, Andrea M., Wang, Jiabao, Wu, Zheng, Zheng, Cheng, Kim, Hyemi, Garfinkel, Chaim I., Singh, Ayush |
| Source: |
Geoscientific Model Development; 2025, Vol. 18 Issue 20, p7969-7985, 17p |
| Subject Terms: |
MADDEN-Julian oscillation, TELECONNECTIONS (Climatology), DATA management, FORECASTING, PYTHON programming language |
| 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. [ABSTRACT FROM AUTHOR] |
|
Copyright of Geoscientific Model Development is the property of Copernicus Gesellschaft mbH and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |