the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An operational global L-band soil moisture and vegetation optical depth dataset from optimized 40° SMOS brightness temperatures
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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Status: open (until 04 Mar 2026)
- RC1: 'Comment on essd-2025-728', Anonymous Referee #1, 12 Feb 2026 reply
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RC2: 'Comment on essd-2025-728', Anonymous Referee #2, 26 Feb 2026
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Overall assessment
This manuscript presents a well-documented and carefully evaluated global L-band dataset of optimized 40° SMOS brightness temperatures and associated soil moisture and vegetation optical depth products. The work represents an incremental but useful contribution to the community, particularly for users seeking harmonized SMOS–SMAP analyses and long-term global records. The dataset is clearly described, publicly available, and evaluated against multiple independent references. In my view, the paper is suitable for publication in a data-focused journal after minor revisions.
Strengths
- The dataset fills a practical gap by providing a consistent mono-angular SMOS product aligned with SMAP geometry and algorithms.
- The methodology is transparent and reproducible, and the validation strategy (ISMN, TCA, vegetation proxies) is appropriate for a global data product.
- The manuscript clearly documents the processing chain, metadata, and access information, which is essential for long-term usability.
- Performance improvements relative to existing SMOS products are demonstrated and generally convincing.
- The data archive and documentation meet the expectations for an operational community dataset.
Minor suggestions for revision
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The manuscript is generally clear but could be streamlined slightly in the introduction and methods to better emphasize the dataset’s intended use cases rather than algorithmic detail.
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Please ensure that all dataset layers, flags, and uncertainties are fully documented in the data repository metadata and user guide for long-term usability.
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A short paragraph clarifying recommended applications and limitations (e.g., RFI-affected regions, frozen conditions, or dense vegetation) would help users interpret the dataset appropriately.
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Consider briefly summarizing differences relative to existing SMOS-IC or SMAP-IB products in a concise user-oriented table.
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Minor editorial corrections (typos, wording, and figure caption clarity) should be addressed during revision.
Citation: https://doi.org/10.5194/essd-2025-728-RC2 -
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
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