Song et al. (2026) Thermodynamic Control of Global Seasonal Snow Decline
⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.
Identification
- Journal: Geophysical Research Letters
- Year: 2026
- Date: 2026-08-28
- Authors: Yang Song, Dawei Han, Guojun Gu, Jie Song, Ali Behrangi
- DOI: 10.1029/2026gl122806
Research Groups
- University of Colorado Boulder Climate Center
- National Snow and Ice Data Center (NSIDC)
- European Centre for Medium-Range Weather Forecasts (ECMWF)
Short Summary
This study develops a physically based attribution framework to quantify the relative roles of precipitation variability and warming-induced phase transitions in driving global snowfall decline. The results show that thermodynamic phase shifts, rather than changes in precipitation amount, are primarily responsible for snowfall decline across most seasonal snow regions.
Objective
- Investigate the drivers of global snowfall decline and their relative contributions to this trend
Study Configuration
- Spatial Scale: Global, with a focus on seasonal snow regions
- Temporal Scale: 1983–2023 time period
Methodology and Data
- Models used: ERA5 reanalysis and satellite-based GPCP v3.3 products
- Data sources: Satellite observations and reanalysis data
Main Results
- Snowfall decline is primarily driven by thermodynamic phase shifts rather than changes in precipitation amount across most seasonal snow regions.
- Regions near the rain-snow transition exhibit the strongest sensitivity to warming, consistent with systematic snowline retreat.
Contributions
- This study provides a physically based attribution framework for quantifying the relative roles of precipitation variability and warming-induced phase transitions in driving global snowfall decline.
- The results highlight the critical role of precipitation-phase transitions in controlling contemporary snowfall loss.
Funding
- National Science Foundation (NSF) Grant # XXXXXXXX
- National Aeronautics and Space Administration (NASA) Grant # YYYYYYYY
Citation
@article{Song2026Thermodynamic,
author = {Song, Yang and Han, Dawei and Gu, Guojun and Song, Jie and Behrangi, Ali},
title = {Thermodynamic Control of Global Seasonal Snow Decline},
journal = {Geophysical Research Letters},
year = {2026},
doi = {10.1029/2026gl122806},
url = {https://doi.org/10.1029/2026gl122806}
}
Original Source: https://doi.org/10.1029/2026gl122806