Crustal response to heavy snowfalls in Hokkaido, Japan, 2018-2022

• We detected 1–2 mm crustal subsidence by heavy snowfall events in northern Japan. • Observed subsidence was consistent with the snow depth increase and the Green’s function. • Snow loading signals can be largely removed to isolate transient tectonic signals. • Accumulation of numerous such small subsidences emerges as seasonal crustal subsidence. • Snow accretion onto antenna radomes causes temporary false subsidence signals. Lands covered with snow often subside in winter by amounts detectable with modern space geodetic surveys. Such seasonal crustal subsidence would consist of numerous subsidence episodes associated with large and small snowfalls. To verify this, we study crustal subsidence of global navigation satellite system receiving stations associated with four heavy snowfall episodes 2018–2022 in Hokkaido, northern Japan. After removing common mode errors, we have detected step-like subsidence up to ∼2.5 mm of these stations. We also calculated their expected subsidences using the snow depth data from dense meteorological sensors and the load Green’s function. They are consistent with each other when we assume the average snow density of 400 kg/m 3 . Hence, snow loading signals are basically removable if adequate snow depth data are available. We also show that snow accretion to antenna radomes causes significant false subsidence signals, which can be distinguished by monitoring signal-to-noise ratios of the microwave signals from satellites.

Authors

Institutions

Publication Details

Journal
Earth and Planetary Science Letters
Published
2025-05-03
DOI
https://doi.org/10.1016/j.epsl.2025.119387
Citations
2
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
3.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Crustal response to heavy snowfalls in Hokkaido, Japan, 2018-2022

Songyun Wang, Jianli Chen, Zizhan Zhang, Kosuke Heki et al.
2 citations
Earth and Planetary Science Letters
earthquake and tectonic studies
3.73
article

Crustal response to heavy snowfalls in Hokkaido, Japan, 2018-2022

Songyun Wang, Jianli Chen, Zizhan Zhang, Kosuke Heki, Haoming Yan, Shuo Zheng, Xinyu Zhang
article en
2 citations

Abstract

• We detected 1–2 mm crustal subsidence by heavy snowfall events in northern Japan. • Observed subsidence was consistent with the snow depth increase and the Green’s function. • Snow loading signals can be largely removed to isolate transient tectonic signals. • Accumulation of numerous such small subsidences emerges as seasonal crustal subsidence. • Snow accretion onto antenna radomes causes temporary false subsidence signals. Lands covered with snow often subside in winter by amounts detectable with modern space geodetic surveys. Such seasonal crustal subsidence would consist of numerous subsidence episodes associated with large and small snowfalls. To verify this, we study crustal subsidence of global navigation satellite system receiving stations associated with four heavy snowfall episodes 2018–2022 in Hokkaido, northern Japan. After removing common mode errors, we have detected step-like subsidence up to ∼2.5 mm of these stations. We also calculated their expected subsidences using the snow depth data from dense meteorological sensors and the load Green’s function. They are consistent with each other when we assume the average snow density of 400 kg/m 3 . Hence, snow loading signals are basically removable if adequate snow depth data are available. We also show that snow accretion to antenna radomes causes significant false subsidence signals, which can be distinguished by monitoring signal-to-noise ratios of the microwave signals from satellites.

Earth and Planetary Science LettersVol. 662
Hong Kong Polytechnic University (HK), Shenzhen Polytechnic University (CN), Hokkaido University (JP), Shanghai Astronomical Observatory (CN), China Land Surveying and Planning Institute (CN), Institute of Geodesy and Geophysics (CN), The University of Texas at Austin (US)
Climate action
Openalex Percentile: Top 9%
earthquake and tectonic studies
3.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.