Adjusting diurnal error in dielectric-based in situ soil moisture measurements via Fourier time-filtering using land surface model datasets

Han, Junnyeong; Seo, Eunkyo; Dirmeyer, Paul A.

doi:10.5194/hess-30-2207-2026

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.

https://doi.org/10.5194/hess-30-2207-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 30, issue 7

Research article

|

17 Apr 2026

Research article |

| 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, Eunkyo Seo, and Paul A. Dirmeyer

Supplement

https://doi.org/10.5194/hess-30-2207-2026-supplement

Data sets

The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data G. Pastorello et al. https://doi.org/10.1038/s41597-020-0534-3

ERA5-Land hourly data from 1950 to present J. Muñoz-Sabater https://doi.org/10.24381/cds.e2161bac

Model code and software

Scripts for publication "Adjusting Diurnal Error in Dielectric-Based In-Situ Soil Moisture Measurements via Fourier Time-Filtering Using Land Surface Model Datasets'' J. Han and E. Seo https://doi.org/10.5281/zenodo.19216200

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.