Articles | Volume 17, issue 5
https://doi.org/10.5194/esd-17-1395-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-17-1395-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
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02 Oct 2026
Research article | Highlight paper |
| 02 Oct 2026
| 02 Oct 2026
Decoded Antarctic snow accumulation history reconciles observed and modeled trends in accumulation and large-scale warming patterns
David P. Schneider
CORRESPONDING AUTHOR
Phare Manchot LLC, Shelburne, VT 05482 USA
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO 80309 USA
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO 80309 USA
National Centre for Climate Research (NCKF), Danish Meteorological Institute, Copenhagen 2100, Denmark
Edward Blanchard-Wrigglesworth
Department of Atmospheric and Climate Science, University of Washington, Seattle, WA 98195 USA
Rajashree Tri Datta
Department of Geoscience and Remote Sensing, Delft University of Technology, Delft 2628 CN, the Netherlands
Zachary I. Espinosa
Department of Atmospheric and Climate Science, University of Washington, Seattle, WA 98195 USA
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Rajashree Tri Datta, Adam Herrington, Jan T. M. Lenaerts, David P. Schneider, Luke Trusel, Ziqi Yin, and Devon Dunmire
The Cryosphere, 17, 3847–3866, https://doi.org/10.5194/tc-17-3847-2023, https://doi.org/10.5194/tc-17-3847-2023, 2023
Short summary
Short summary
Precipitation over Antarctica is one of the greatest sources of uncertainty in sea level rise estimates. Earth system models (ESMs) are a valuable tool for these estimates but typically run at coarse spatial resolutions. Here, we present an evaluation of the variable-resolution CESM2 (VR-CESM2) for the first time with a grid designed for enhanced spatial resolution over Antarctica to achieve the high resolution of regional climate models while preserving the two-way interactions of ESMs.
Devon Dunmire, Jan T. M. Lenaerts, Rajashree Tri Datta, and Tessa Gorte
The Cryosphere, 16, 4163–4184, https://doi.org/10.5194/tc-16-4163-2022, https://doi.org/10.5194/tc-16-4163-2022, 2022
Short summary
Short summary
Earth system models (ESMs) are used to model the climate system and the interactions of its components (atmosphere, ocean, etc.) both historically and into the future under different assumptions of human activity. The representation of Antarctica in ESMs is important because it can inform projections of the ice sheet's contribution to sea level rise. Here, we compare output of Antarctica's surface climate from an ESM with observations to understand strengths and weaknesses within the model.
Rajashree Tri Datta and Bert Wouters
The Cryosphere, 15, 5115–5132, https://doi.org/10.5194/tc-15-5115-2021, https://doi.org/10.5194/tc-15-5115-2021, 2021
Short summary
Short summary
The ICESat-2 laser altimeter can detect the surface and bottom of a supraglacial lake. We introduce the Watta algorithm, automatically calculating lake surface, corrected bottom, and (sub-)surface ice at high resolution adapting to signal strength. ICESat-2 depths constrain full lake depths of 46 lakes over Jakobshavn glacier using multiple sources of imagery, including very high-resolution Planet imagery, used for the first time to extract supraglacial lake depths empirically using ICESat-2.
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Editorial statement
This study evaluates how Antarctic ice sheet surface mass balance has evolved over the past 125 years and its deep connections to ocean cooling, wind patterns, and dynamic ice loss. By integrating Earth System modeling with paleoclimate data, the study reconciles observed and modeled trends in snowfall, sea surface temperatures, and large-scale climate variability. The findings not only explain long-standing climate model discrepancies but also confirm an anthropogenic increase in Antarctic snowfall, with implications for global sea level rise and regional climate change.
This study evaluates how Antarctic ice sheet surface mass balance has evolved over the past 125...
Short summary
Snow accumulation on the Antarctic Ice Sheet could increase with greenhouse warming, storing water that would otherwise raise sea level. Employing multiple Earth system model simulations and reconstructions, we detect a warming-driven increase in accumulation consistent with greenhouse gas forcing, but observations can only be matched if wind and meltwater impacts on large-scale surface warming patterns are accounted for. This implies that predictions ignoring these effects are overconfident.
Snow accumulation on the Antarctic Ice Sheet could increase with greenhouse warming, storing...
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