2026-01-12 トロント大学（U of T）
Northern Hemisphere Snow and Ice Chart as of Thursday January 8, 2026 (NOAA)
＜関連情報＞
- https://www.utoronto.ca/news/u-t-atmospheric-physicists-find-error-widely-cited-arctic-snow-cover-observations
- https://www.science.org/doi/10.1126/sciadv.adv7926
北半球の積雪面積記録における、開始時期と季節の不一致の傾向の原因の特定 Determining the cause of inconsistent onset-season trends in the Northern Hemisphere snow cover extent record
Aleksandra Elias Chereque, Paul J. Kushner, Lawrence Mudryk, and Chris Derksen
Science Advances Published:31 Oct 2025
DOI:https://doi.org/10.1126/sciadv.adv7926
Abstract
While seasonal snow cover extent (SCE), an essential climate variable, has broadly declined as a response to global warming, notable inconsistencies remain among long-term satellite-based estimates of SCE change during the Northern Hemisphere snow onset season. SCE datasets from a reanalysis-driven simple snow model serve as benchmarks and allow us to reconcile the trends from one prominent snow cover record with other recent studies. In particular, artificial increasing snow cover trends in the National Oceanic and Atmospheric Administration’s Snow Cover Extent Climate Data Record (CDR) during the onset season are related to changes in snow detection sensitivity. This artificial drift primarily affects September, October, and November snow cover but is detectible through February. Revised trends produced by merging the last decade’s CDR estimates with the offline model datasets reveal decreasing Northern Hemisphere trends in all months but January. This approach shows that offline snow models produce useful benchmarks that can expose biases in observational snow cover datasets with other cross-validation.
