Preprints
https://doi.org/10.5194/essd-2025-728
https://doi.org/10.5194/essd-2025-728
26 Jan 2026
 | 26 Jan 2026
Status: this preprint is currently under review for the journal ESSD.

An operational global L-band soil moisture and vegetation optical depth dataset from optimized 40° SMOS brightness temperatures

Zanpin Xing, Xiaojun Li, Frédéric Frappart, Gabrielle De Lannoy, Thomas Jagdhuber, Jian Peng, Lei Fan, Hongliang Ma, Karthikeyan Lanka, Xiangzhuo Liu, Mengjia Wang, Lin Zhao, Yongqin Liu, and Jean-Pierre Wigneron

Abstract. The Soil Moisture and Ocean Salinity (SMOS) mission delivers the first multi-angular L-band observations for retrieving global soil moisture (SM) and vegetation optical depth (VOD), two critical variables for understanding terrestrial water and carbon cycles. However, the combined effects of non-identical fields of view and aliasing in multi-angular SMOS brightness temperature (TB) observations can introduce noise and biases when the TBs are averaged to a nominal incidence angle, as done in the SMOS L3 dataset, thereby degrading land parameter retrievals. To address this issue, an optimized SMOS TB dataset was initially produced at a fixed 40° incidence angle, consistent with the Soil Moisture Active Passive (SMAP) mission. We then developed the first SMOS mono-angular SM and VOD products designed to achieve performance comparable to SMAP and improved relative to conventional multi-angle SMOS retrievals. The 40° TB optimization was performed using the L-band Microwave Emission of the Biosphere (L-MEB) model, and the inversion relied on the SMAP-INRAE-BORDEAUX (SMAP-IB) algorithm, yielding a global 40° SMOS TB record and associated SM and VOD products for 2010–2024 at 25 km spatial resolution, collectively referred to as SMOS-IB. Results showed that the optimized 40° TB reached a performance level comparable to SMAP and improved relative to SMOS-L3, both in its sensitivity to in-situ SM from the International Soil Moisture Network (ISMN) and in the reduction of global pixel-scale noise. When multiple evaluation metrics are considered, the SMOS-IB SM and VOD data, benefiting from the use of the optimized TB as input and a newly optimized soil roughness (Hr) parameterization, showed improved performance compared with those derived from SMOS L3 40° TB or from the multi-angular SMOS products. The SMOS-IB TB, SM and VOD products can be used for L-band algorithm development and SMAP harmonization, global drought monitoring, and studies of vegetation water and biomass dynamics. SMOS-IB is publicly available at https://zenodo.org/records/17647385 (Xing et al., 2025).

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Zanpin Xing, Xiaojun Li, Frédéric Frappart, Gabrielle De Lannoy, Thomas Jagdhuber, Jian Peng, Lei Fan, Hongliang Ma, Karthikeyan Lanka, Xiangzhuo Liu, Mengjia Wang, Lin Zhao, Yongqin Liu, and Jean-Pierre Wigneron

Status: open (until 04 Mar 2026)

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Zanpin Xing, Xiaojun Li, Frédéric Frappart, Gabrielle De Lannoy, Thomas Jagdhuber, Jian Peng, Lei Fan, Hongliang Ma, Karthikeyan Lanka, Xiangzhuo Liu, Mengjia Wang, Lin Zhao, Yongqin Liu, and Jean-Pierre Wigneron

Data sets

An operational global L-band soil moisture and vegetation optical depth dataset from optimized 40° SMOS brightness temperatures Zanpin Xing et al. https://zenodo.org/records/17647385

Zanpin Xing, Xiaojun Li, Frédéric Frappart, Gabrielle De Lannoy, Thomas Jagdhuber, Jian Peng, Lei Fan, Hongliang Ma, Karthikeyan Lanka, Xiangzhuo Liu, Mengjia Wang, Lin Zhao, Yongqin Liu, and Jean-Pierre Wigneron
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Latest update: 26 Jan 2026
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Short summary
Satellite observations of Earth's land surface are important for tracking soil and vegetation water. We use data from the Soil Moisture and Ocean Salinity satellite to build a new product that cleans the raw microwave signal and yields more reliable estimates of soil moisture and vegetation water content. Tests against ground stations and other satellites show that the new record exceeds existing products and can support applications such as drought, freeze–thaw, and carbon monitoring.
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