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Article Dans Une Revue Frontiers in Marine Science Année : 2023

A census of quality-controlled Biogeochemical-Argo float measurements

Adam Stoer
  • Fonction : Auteur
Yuichiro Takeshita
  • Fonction : Auteur
Tanya Lea Maurer
  • Fonction : Auteur
Charlotte Begouen Demeaux
  • Fonction : Auteur
Henry Bittig
  • Fonction : Auteur
Emmanuel Boss
  • Fonction : Auteur
Giorgio Dall’olmo
  • Fonction : Auteur
Christopher Gordon
  • Fonction : Auteur
Blair John William Greenan
  • Fonction : Auteur
Kenneth Johnson
  • Fonction : Auteur
Emanuele Organelli
  • Fonction : Auteur
Catherine Marie Schmechtig
  • Fonction : Auteur
Katja Fennel
  • Fonction : Auteur

Résumé

Biogeochemical- (BGC-) Argo aims to deploy and maintain a global array of autonomous profiling floats to monitor ocean biogeochemistry. With over 250,000 profiles collected so far, the BGC-Argo network is rapidly expanding toward the target of a sustained fleet of 1,000 floats. These floats prioritize the measurement of six key properties: oxygen, nitrate, pH, chlorophyll-a, suspended particles, and downwelling light. To assess the current biogeochemical state of the ocean, its variability, and trends with confidence, it is crucial to quality control these measurements. Accordingly, BGC-Argo maintains a quality control system using manual inspection and parameter-specific algorithms for flagging and adjusting data. In this study, we provide a census of the quantity and quality of measurements from BGC-Argo based on their quality flagging system. The purpose of this census is to assess the current status of the array in terms of data quality, how data quality has changed over time, and to provide a better understanding of the quality-controlled data to current and future users. Alongside increasing profile numbers and spatial coverage, we report that for most parameters between 80 and 95% of the profiles collected so far contain high-quality BGC data, with an exception for pH. The quality of pH profiles has seen a large improvement in the last five years and is on track to match the data quality of other BGC parameters. We highlight how BGC-Argo is improving and discuss strategies to increase the quality and quantity of BGC profiles available to users. This census shows that tracking percentages of high-quality data through time is useful for monitoring float sensor technology and helpful for ensuring the long-term success of BGC-Argo.
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hal-04661032 , version 1 (25-07-2024)

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Adam Stoer, Yuichiro Takeshita, Tanya Lea Maurer, Charlotte Begouen Demeaux, Henry Bittig, et al.. A census of quality-controlled Biogeochemical-Argo float measurements. Frontiers in Marine Science, 2023, 10, ⟨10.3389/fmars.2023.1233289⟩. ⟨hal-04661032⟩
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