• Sorted by Date • Sorted by Last Name of First Author •
Lu, Yang, Wang, Qing–Yu, Stehly, Laurent, Bodet, Ludovic, Campillo, Michel, and Bokelmann, Götz, 2025. Mapping Large–Scale Deep Soil Moisture Variations Using Ambient Seismic Noise. Geophysical Research Letters, 52(20):e2025GL117302, doi:10.1029/2025GL117302.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025GeoRL..5217302L,
author = {{Lu}, Yang and {Wang}, Qing-Yu and {Stehly}, Laurent and {Bodet}, Ludovic and {Campillo}, Michel and {Bokelmann}, G{\"o}tz},
title = "{Mapping Large-Scale Deep Soil Moisture Variations Using Ambient Seismic Noise}",
journal = {\grl},
year = 2025,
month = oct,
volume = {52},
number = {20},
eid = {e2025GL117302},
pages = {e2025GL117302},
abstract = "{Soil moisture is an essential ecosystem resource and a major control of
the Earth's hydrological cycle and energy balance, closely
interacting with the climate system. However, investigating deep
soil moisture dynamics at large scales presents significant
challenges due to the sparse distribution and limited spatial
representativeness of in situ monitoring networks, while various
remote sensing methods mainly address surface soil moisture
within the top few centimeters. This study illustrates how
seismic waves can effectively detect variations in deep soil
moisture. We examine continuous seismic data from 791 stations
across South-Central Europe for the period 2016â2020. Our
findings confirm a strong correlation between variations in
seismic velocity and deep soil moisture content. Notably, the
seismic observations pinpoint areas impacted by severe soil
moisture deficits related to the 2016â2017 European drought
event. The seismic method presented in this study offers new
opportunities in addressing the observational gap of this
critical environmental parameter.}",
doi = {10.1029/2025GL117302},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025GeoRL..5217302L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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