Rebecca Baiman - Research

Disentangling regional drivers of top Antarctic snowfall days with a convolutional neural network

We leverage machine learning along side traditional synoptic diagnostic tools to identify the most important atmospheric drivers of Antarctic precipitation events. We find that in East Antarctica, the dynamic environment distinguished top precipitation events.

Geophysical Research Letters, 2025

Synoptic and planetary-scale dynamics modulate antarctic atmospheric river precipitation intensity

In an investigation of circumpolar Antarctic atmospheric rivers we find that dynamical drivers, including Rossby waves excited by tropical convection, are a distinguishing feature of the highest precipitation events.

Communications Earth & Environment, 2024

Synoptic drivers of atmospheric river induced precipitation near Dronning Maud Land, Antarctica

Using a self-organizing map and QG Omega analysis, we find that atmospheric rivers making landfall during the mature phase of cyclogenesis result in high-precipitation due to the spatial overlap of lift induced by frontogensis and the occlusion process.

JGR-Atmospheres, 2023

WINTRE-MIX Field Campaign

Observing and understanding of precipitation associated with near-freezing surface conditions near Montreal, Canada.

Watch a seminar on my PhD work

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