edu.ucar.opensky::articles:43718 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T17:49:14.717097 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d7125z2h https://doi.org/10.5065/D62R3QFS https Related Dataset #1 Atmospheric River Tracking Method Intercomparison Project Tier 1 Source Data and Catalogues Disentangling regional drivers of top Antarctic snowfall days with a convolutional neural network 2025-05-28T00:00:00Z publication https://n2t.net/ark:/85065/d7125z2h https://doi.org/10.1029/2025GL115254 Baiman, R. author Winters, A. C. author Mayer, Kirsten author Reiher, C. A. author UCAR/NCAR - Library publisher Snowfall is the primary contributor to Antarctic surface mass balance. Identifying regional&#8208;scale mechanisms that drive heavy snowfall provides context for changes in Antarctic surface mass balance in a warmer climate. We compare drivers of top snowfall days across five Antarctic regions using machine learning and traditional synoptic diagnostics. A convolutional neural network identifies top snow days with an accuracy of 92%&#8211;94% per region when trained on just atmospheric moisture and low&#8208;level meridional wind, highlighting the importance of atmospheric river&#8208;like structures to top Antarctic snowfall days. The network's skill depends mainly on low&#8208;level wind in East Antarctica and atmospheric moisture in West Antarctica, suggesting that dynamic processes are comparatively more important in driving East Antarctic top snowfall days. We leverage the quasi&#8208;geostrophic omega equation to identify mechanisms for ascent and snowfall production, and we find that East Antarctic top snowfall days feature stronger synoptic&#8208;scale forcing for ascent compared to West Antarctica. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span> None eng geoscientificInformation