Fiona Spuler
@fionaspuler.bsky.social
PhD student working on causal machine learning methods to study long-range predictability in the climate system @UniversityofReading @AlanTuringInstitute @ECMWF
open-source software and climate information - causal inference - representation learning
open-source software and climate information - causal inference - representation learning
Excited to share that our new paper is out in Weather and Climate Dynamics and was selected as a highlight publication🎉
We introduce a machine-learning approach to identify physically interpretable drivers of regional precipitation extremes. Have a look here: wcd.copernicus.org/articles/6/9...
We introduce a machine-learning approach to identify physically interpretable drivers of regional precipitation extremes. Have a look here: wcd.copernicus.org/articles/6/9...
Learning predictable and informative dynamical drivers of extreme precipitation using variational autoencoders
Abstract. Large-scale atmospheric dynamics modulate the occurrence of extreme precipitation events and provide sources of predictability of these events on timescales ranging from days to decades. In ...
wcd.copernicus.org
October 13, 2025 at 4:41 PM
Excited to share that our new paper is out in Weather and Climate Dynamics and was selected as a highlight publication🎉
We introduce a machine-learning approach to identify physically interpretable drivers of regional precipitation extremes. Have a look here: wcd.copernicus.org/articles/6/9...
We introduce a machine-learning approach to identify physically interpretable drivers of regional precipitation extremes. Have a look here: wcd.copernicus.org/articles/6/9...
Excited for my first post here to be my first PhD paper recently published in Environmental Data Science!
We introduce a probabilistic machine learning method to identify the dynamical atmospheric drivers of a local impact of interest. Have a look here bit.ly/3CFtZta.
We introduce a probabilistic machine learning method to identify the dynamical atmospheric drivers of a local impact of interest. Have a look here bit.ly/3CFtZta.
Identifying probabilistic weather regimes targeted to a local-scale impact variable | Environmental Data Science | Cambridge Core
Identifying probabilistic weather regimes targeted to a local-scale impact variable - Volume 3
www.cambridge.org
November 26, 2024 at 10:08 PM
Excited for my first post here to be my first PhD paper recently published in Environmental Data Science!
We introduce a probabilistic machine learning method to identify the dynamical atmospheric drivers of a local impact of interest. Have a look here bit.ly/3CFtZta.
We introduce a probabilistic machine learning method to identify the dynamical atmospheric drivers of a local impact of interest. Have a look here bit.ly/3CFtZta.