I started my DPhil in September 2024 as part of the NERC DTP, supervised by Antje Weisheimer and Tim Woollings.
My project focuses on revisiting time-scales of atmospheric memory and predictability. Some of the questions I wish to explore are: Do some atmospheric variables, climate zones or certain weather regimes have higher/lower predictability limits than the ~two weeks global mean limit found by Lorenz in the late 1960's? What mechanisms determine these limits and variance? Why do different areas of same latitude zone display very different rainfall forecast skill? Are there memory patterns in the atmosphere beyond the spatially fixed Eularian approach, i.e., travelling patterns, that contain additional predictive information? Can the spatial variance in atmospheric timescales inform the way we validate climate models and train ML based forecast models?