Preprints
https://doi.org/10.5194/essd-2026-223
https://doi.org/10.5194/essd-2026-223
20 Apr 2026
 | 20 Apr 2026
Status: this preprint is currently under review for the journal ESSD.

A multi-year dataset of integrated water vapor derived from shipborne GNSS observations collected aboard eight French research vessels during oceanographic campaigns (2015–2024)

Aurélie Panetier, Pierre Bosser, and Félix Mercier

Abstract. In the context of climate change and the growing need for improved observations of the atmospheric water cycle, measurements of atmospheric water vapor over the global ocean remain scarce compared with those available over land. This observational gap can be addressed using Integrated Water Vapor (IWV) derived from shipborne Global Navigation Satellite System (GNSS) observations, which provide a robust and well-established method for monitoring atmospheric moisture over the oceans.

This study presents a shipborne IWV dataset obtained from the processing of raw data collected by GNSS antennas installed on research vessels. The dataset benefits from substantial support and data access provided by Genavir, the operator of the French Oceanographic Fleet (FOF), and the Ifremer archive department SISMER. It is based on oceanographic campaigns conducted worldwide by eight vessels over a ten-year period (2015–2024), representing a total of 6,427 campaign days in both offshore and coastal regions.

After describing the methodology used to derive IWV from raw GNSS observations and to remove spurious measurements through a screening procedure, the dataset is evaluated through comparisons with the ERA5 reanalysis and satellite radiometer measurements from Remote Sensing Systems. These comparisons yield mean differences of (0.3 ± 2.0) kg m−2 and (−0.4 ± 1.8) kg m−2, respectively.

To further quantify the inherent uncertainty of the shipborne IWV retrieval, the dataset is cross-validated using instances where two vessels were within 50 km of each other. This comparison results in an estimated uncertainty of 0.96 kg m−2, demonstrating the suitability of the dataset for climate studies.

Local discrepancies identified in these comparisons are discussed, highlighting limitations in each dataset considered.

The GNSS-derived IWV dataset is intended to be updated annually to support long-term monitoring of atmospheric water vapor over the global ocean.

The IWV estimates are available at https://doi.org/10.25326/876 (Panetier and Bosser, 2026) through the AERIS data center (https://en.aeris-data.fr/, last access: 20 March 2026), and currently span the period from 2015 to the end of 2024.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Aurélie Panetier, Pierre Bosser, and Félix Mercier

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Aurélie Panetier, Pierre Bosser, and Félix Mercier

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Integrated Water Vapor contents from GNSS observations collected onboard research vessels of the French Oceanographic Fleet Aurélie Panetier and Pierre Bosser https://doi.org/10.25326/876

Aurélie Panetier, Pierre Bosser, and Félix Mercier
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Short summary
Water vapor plays a key role in climate, yet it is poorly measured over the oceans. This study provides a new dataset based on satellite signals collected by research vessels around the world over ten years. The results show that this method can reliably estimate atmospheric moisture. This dataset helps improve climate studies and the evaluation of remote sensing products over the oceans using in situ data.
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