Work

Elliptical Orbit Representation for the Annual Evolution of the Northern Hemisphere Stratospheric Polar Vortex. Part II: Long‐Lead Forecasts of Wintertime S2S Anomalies

Year: 2026

Type: article

Abstract: In Part I, we represent the annual evolution of the Northern Hemisphere stratospheric polar vortex (SPV) in individual years using an ellipse, defined through six ellipse parameters, for the phase‐space trajectory of the daily time series of MU (mass‐weighted zonally integrated zonal wind at 60°N above 400 K) and M (stratospheric air mass over 60–90°N above 400 K) from July 1 to June 30 of the following year. Building on that foundation, this study puts forward a new paradigm for long‐lead forecasts of wintertime SPV anomalies through predicting the six ellipse parameters before the cold season. A set of 17 predictors for predicting these yearly‐varying ellipse parameters, computed exclusively from data available before October 1, are selected from three primary sources: external factors, isentropic mass circulation indices, and phase‐space trajectory precursors. The regression models exhibit high predictive skill with cross‐year correlations between predicted and observed ellipse parameters ranging from 0.79 to 0.91. When translated through the elliptical representation, yearly predicted ellipse parameters yield skillful forecasts of continuously evolving subseasonal‐to‐seasonal (S2S) anomalies of the SPV from October through the following April. The correlation skill of forecasts for seasonal‐mean SPV anomalies remains above 0.8 at lead times of one to 6 months, and that for two‐weekly anomalies is still above 0.6 over lead times of two to 5 months. The forecasts also capture the amplitude and timing of wintertime SPV extrema. These results demonstrate that the elliptical representation provides a skillful framework for long‐lead forecasting of SPV anomalies at S2S scales.

Source: Journal of Geophysical Research Atmospheres

DOI: 10.1029/2025jd044222

Authors: Michael Secor, Jie Sun, Yueyue Yu, Zhaohua Wu, Ming Cai

Institutions: Florida State University, Nanjing University of Information Science and Technology

Language: English

Topic: Atmospheric Ozone and Climate

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: hybrid

Estimated APC paid: $4,070