Articles | Volume 30, issue 7
https://doi.org/10.5194/hess-30-2207-2026
© 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/hess-30-2207-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Apr 2026
Research article |
| 17 Apr 2026
| 17 Apr 2026
Adjusting diurnal error in dielectric-based in situ soil moisture measurements via Fourier time-filtering using land surface model datasets
Junnyeong Han
Department of Environmental Atmospheric Sciences, Pukyong National University, Busan, 48513, Republic of Korea
Eunkyo Seo
CORRESPONDING AUTHOR
Department of Environmental Atmospheric Sciences, Pukyong National University, Busan, 48513, Republic of Korea
Center for Ocean-Land-Atmosphere Studies, George Mason University, Fairfax, Virginia, 22030, United States
Paul A. Dirmeyer
Center for Ocean-Land-Atmosphere Studies, George Mason University, Fairfax, Virginia, 22030, United States
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Short summary
Soil moisture sensors often exhibit misleading daytime peaks because they are sensitive to temperature. This study proposes a method to correct the spurious diurnal cycle of surface soil moisture, using Fourier analysis with land reanalyses. The diurnally adjusted time series better captures realistic soil moisture behavior and provides more reliable insight into land–atmosphere interactions on a diurnal timescale.
Soil moisture sensors often exhibit misleading daytime peaks because they are sensitive to...
