Beyond Weather – Extending the PrEdiCTability of the Atmosphere over Europe

Co-PIs:

  • Daniela Domeisen, ETH Zürich
  • Ce Zhang, ETH Zürich

Objectives:

This project will contribute to better long-term weather prediction on weekly to monthly

timescales through (1) an improved classification of Sudden Stratospheric Warming (SSW) events using machine learning tools and (2) progress in identifying and understanding the relevant predictors on weekly to monthly timescales over Europe, with the potential to expand to other regions. An improved identification method for stratospheric events and their predictors could have implications on forecasting on a range of timescales from hours to centuries. The classification of stratospheric events could also be broadened to other dynamical events beyond the atmosphere.