[Eoas-seminar] MET Seminar: Thursday February 5 3PM (Dr. Cheng Zheng, Stony Brook University)

[eoas-seminar at lists.fsu.edu]

There is an error in the original announcement.  The date of the seminar is February 5, Thursday of the next week.

DATE: Thursday, February 5
TIME: 3-4 PM
LOCATION: EOA 1044
SPEAKER: Dr. Cheng Zheng
TITLE: Tropical-extratropical Interactions on Subseasonal-to-seasonal Time Scales: Dynamics and Predictions


https://fsu.zoom.us/j/95168590030<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffsu.zoom.us%2Fj%2F95168590030&data=05%7C02%7Ceoas-seminar%40lists.fsu.edu%7Cf0cbf3d5d0a040ef7fd008de5f3eca24%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639052920433572852%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=ISZSI7Xv1dnaczwfEk%2BGXll1z%2F5VPTvuMfAToYmoR2M%3D&reserved=0>

Meeting ID: 951 6859 0030
Abstract:
Tropical-extratropical interactions has been recognized as one of the key drivers of subseasonal predictability. The Madden-Julian Oscillation (MJO), the dominant mode of tropical intraseasonal variability, excites Rossby waves that propagate into the extratropics, influencing surface temperature and precipitation via teleconnections. A better understanding of these teleconnections could lead to improvements in subseasonal predictions.

In this talk, I will first examine the observed MJO teleconnections and the associated Rossby waves. Next, by using an idealized dynamical model, I will explore how various factors modulate these teleconnections, focusing on: (1) the role of MJO propagation and lifetime, and (2) the influence of the extratropical background state on the propagation of MJO-induced Rossby waves. Then, I will discuss the role of MJO teleconnections in subseasonal winter precipitation predictions. Current dynamical models achieve prediction skill for extratropical cyclones—which bring most of the winter precipitation—primarily through ENSO and stratospheric influences. However, MJO-driven impacts on extratropical cyclones remain inadequately represented, presenting opportunities for future improvement. Finally, I will introduce a newly developed machine learning framework that leverages ENSO and MJO teleconnections to predict winter precipitation on subseasonal timescales. This machine learning tool outperforms traditional statistical models, offering a promising path for improving subseasonal predictions.
_______________________________________________


On Jan 28, 2026, at 9:09 PM, eoas-seminar--- via Eoas-seminar <eoas-seminar at lists.fsu.edu> wrote:

Dear all,

Please join us for a MET seminar, which will be at 3:00PM on Feb. 5 (Thursday) in EOAS 1044, given by Dr. Cheng Zheng from Stony Brook University. His seminar is entitled “Tropical-extratropical Interactions on Subseasonal-to-seasonal Time Scales: Dynamics and Predictions” (abstract below)

DATE: Tuesday,  January 20
TIME: 3-4 PM
LOCATION: EOA 1044
SPEAKER: Dr. Cheng Zheng
TITLE: Tropical-extratropical Interactions on Subseasonal-to-seasonal Time Scales: Dynamics and Predictions


https://fsu.zoom.us/j/95168590030<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffsu.zoom.us%2Fj%2F95168590030&data=05%7C02%7Ceoas-seminar%40lists.fsu.edu%7Cf0cbf3d5d0a040ef7fd008de5f3eca24%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639052920439883756%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=pHVv9SHCykjr%2FIge19P9BFnHpkCeey6eG5AKfE8kgA4%3D&reserved=0>

Meeting ID: 951 6859 0030

Abstract:
Tropical-extratropical interactions has been recognized as one of the key drivers of subseasonal predictability. The Madden-Julian Oscillation (MJO), the dominant mode of tropical intraseasonal variability, excites Rossby waves that propagate into the extratropics, influencing surface temperature and precipitation via teleconnections. A better understanding of these teleconnections could lead to improvements in subseasonal predictions.

In this talk, I will first examine the observed MJO teleconnections and the associated Rossby waves. Next, by using an idealized dynamical model, I will explore how various factors modulate these teleconnections, focusing on: (1) the role of MJO propagation and lifetime, and (2) the influence of the extratropical background state on the propagation of MJO-induced Rossby waves. Then, I will discuss the role of MJO teleconnections in subseasonal winter precipitation predictions. Current dynamical models achieve prediction skill for extratropical cyclones—which bring most of the winter precipitation—primarily through ENSO and stratospheric influences. However, MJO-driven impacts on extratropical cyclones remain inadequately represented, presenting opportunities for future improvement. Finally, I will introduce a newly developed machine learning framework that leverages ENSO and MJO teleconnections to predict winter precipitation on subseasonal timescales. This machine learning tool outperforms traditional statistical models, offering a promising path for improving subseasonal predictions.
_______________________________________________
Eoas-seminar mailing list
Eoas-seminar at lists.fsu.edu
https://lists.fsu.edu/mailman/listinfo/eoas-seminar

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.fsu.edu/pipermail/eoas-seminar/attachments/20260129/fa2e7bf2/attachment-0001.html>