Improved simulations of the stratosphere for better predictions of
weather, climate and extreme events
A joint QBOi – SNAP – QUOCA (QSQ) workshop
24-28 March 2025, Cambridge, UK
The workshop’s purpose will be to facilitate the sharing and discussion of the latest results on the role of the stratosphere in models relevant for enhancing predictability on all timescales. The workshop will serve as the in-person kick-off for the new QUOCA (QUasi-biennial oscillation and Ozone Chemistry interactions in the Atmosphere) joint QBOi-CCMI project. The aim of the workshop is to better understand stratospheric processes and variability, uncertainties, and their influence on surface climate and predictability. Free-running, initialised, and nudged simulations designed to better understand the stratospheric response to external forcings (such as climate change or geoengineering), or to improve the representation of the predictable signal in surface climate related to stratospheric processes, are also encouraged. Studies examining the potential benefits of the use of artificial intelligence are welcome.
The workshop will consist of a mixture of invited and contributed talks, posters and reports on outcomes of the latest multi-model QBOi and SNAPSI experiments employing common nudging methodologies, as well as the QBOi-ENSO and the QUOCA experiments. Breakout sessions will identify gaps in our current knowledge that can usefully inform further coordinated model experiments, and work towards community consensus on their design. Breakouts will also focus on identifying how results from current QBOi, QUOCA and SNAP research can be best used to inform model development and broader scientific activities such as future CMIP planning. To get the full benefit from active breakout discussions, the workshop will be in-person, though it is hoped limited online options will be offered.
Abstract submission is open until December 2.
For more information, please visit the workshop website: https://sites.google.com/view/qsq-workshop-mar-2025/home