Relative roles of different tropical oceans on the weakening of the stratospheric equatorial quasi-biennial oscillation

npj Climate and Atmospheric Science Nature Research (2026)

Authors:

Yue Wang, Jian Rao, Chaim I Garfinkel, Rongcai Ren, Scott M Osprey, Yixiong Lu

Abstract:

The Quasi-Biennial Oscillation (QBO) is the dominant mode of tropical stratospheric variability that modulates global circulation and climate. Although a long-term weakening of QBO amplitude has been observed under global warming, the relative roles of different tropical oceans remain unclear. We perform sensitivity experiments forced by sea surface temperature perturbations over the tropical Pacific, Atlantic, and Indian Oceans, as well as their combined warming, to separate individual and joint effects. Pacific warming produces the strongest weakening and slowest descent of the QBO, whereas Atlantic warming slightly strengthens the amplitude and extends the vertical structure. Indian Ocean warming slightly weakens the amplitude and accelerates the descent. When all three oceans warm simultaneously, the QBO exhibits a weaker amplitude and faster descent, consistent in sign with the combined single-basin responses but with a reduced magnitude owing to diminished zonal and inter-basin SST gradients. Momentum budget analyses further show that basin-dependent competition between equatorial wave forcing and tropical upwelling underlies these contrasting responses.

Relative Humidity Verification Over Vietnam in ECMWF Medium‐Range Forecasts for a Dengue Early Warning System

Meteorological Applications Wiley 33:1 (2026) ARTN e70159

Authors:

Iago Pérez‐Fernández, Sarah Sparrow, Antje Weisheimer, Matthew Wright, Lucy Main

Abstract:

ABSTRACT Dengue fever outbreaks impose a severe healthcare burden in Vietnam; therefore, the development of a Dengue early warning system is key to improve public health planning and mitigate this burden. This study assesses the ECMWF medium‐range (up to 10 days) forecast skill for relative humidity in Vietnam—a key factor for vector‐borne disease transmission—in re‐forecasts between 2001 and 2020. Analysis focused on the rainy season (May–October) with ERA5 reanalysis as a reference dataset. Re‐forecast data were pre‐processed using a lead‐time dependent quantile mapping technique to reduce the bias between forecasted and observational data, and skill was assessed using climatology and persistence as a reference. Rank histograms showed that the humidity forecast is reliable up to 10 days, and continuous ranked probability skill score (CRPSS) values show that the forecast is more skilful than the climatology up to 10 days. Nonetheless, when using persistence as a reference, CRPSS values are lower in South Vietnam, which was associated with the inaccurate representation of 2 m dew point temperature in the tropical regions, and the fact that persistence is a hard reference to beat in the tropics, hindering model forecast skill. Results from this study demonstrate that ECMWF ensemble forecasts of relative humidity are suitable to use as inputs for a Dengue early warning system up to 10 days in advance.

QBOi El Niño Southern Oscillation experiments: assessing relationships between ENSO, MJO, and QBO

Weather and Climate Dynamics Copernicus Publications 7:1 (2026) 317-339

Authors:

Dillon Elsbury, Federico Serva, Julie M Caron, Seung-Yoon Back, Clara Orbe, Jadwiga H Richter, James A Anstey, Neal Butchart, Chih-Chieh Chen, Javier García-Serrano, Anne Glanville, Yoshio Kawatani, Tobias Kerzenmacher, Francois Lott, Hiroaki Naoe, Scott Osprey, Froila M Palmeiro, Seok-Woo Son, Masakazu Taguchi, Stefan Versick, Shingo Watanabe, Kohei Yoshida

Abstract:

Abstract. This study uses an ensemble of climate model experiments coordinated by the Quasi-Biennial Oscillation initiative (QBOi) to analyze the Madden-Julian Oscillation (MJO) in the presence of either perpetual El Niño or La Niña sea surface temperatures during boreal winter. In addition to the prescribed El Niño Southern Oscillation (ENSO) conditions, the nine models internally generate QBOs, meaning each may influence the MJO. Objectives of our analyses are to assess the response of the MJO to strong idealized ENSO forcing and look for evidence of a QBO influence on the MJO in a multi-model context. The diagnostics used include wavenumber-frequency spectra of tropical convective and dynamical fields, measures of MJO lifetime, an evaluation of MJO diversity and visualization of MJO vertical structure, as well as an assessment of QBO morphology and the QBO's impact on tropical convection. Kelvin wave spectral power increases in the El Niño simulations whereas equatorial Rossby waves power is stronger in the La Niña simulations. All models simulate faster MJO propagation under El Niño conditions. This change in speed is corroborated by the MJO diversity analysis, which reveals that models better reproduce the observed “fast propagating” and “standing” MJO archetypes given perpetual El Niño and La Niña, respectively. Regardless of ENSO, QBO descent into the lower stratosphere is underestimated and we detect little QBO influence on tropical tropopause stability and MJO activity. With little influence from the QBO on the MJO activity in these runs, we can be confident that the aforementioned changes in the MJO indeed arise from the different ENSO boundary conditions.

Contrasting Extreme Event Attribution Frameworks in the Case of Midlatitude Storm Babet 2023

(2026)

Authors:

Shirin Ermis, Vikki Thompson, Linjing Zhou, Ben Clarke, Nicholas J Leach, Hylke De Vries, Geert Lenderink, Pandora Hope, Sarah Kew, Sarah N Sparrow, Fraser C Lott, Antje Weisheimer

Rainfall forecasts in daily use over East Africa improved by machine learning

(2025)

Authors:

Fenwick C Cooper, Shruti Nath, Andrew TT McRae, Bobby Antonio, Antje Weisheimer, Tim Palmer, Masilin Gudoshava, Nishadh Kalladath, Ahmed Amidhun, Jason Kinyua, Hannah Kimani, David Koros, Zacharia Mwai, Christine Maswi, Benard Chanzu, Samrawit Abebe, Bekalu Tamene, Bekele Kebebe, Asaminew Teshome, Florian Pappenberger, Matthew Chantry, Isaac Obai, Jesse Mason