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Correction of Biogeochemical-Argo Radiometry for Sensor Temperature-Dependence and Drift: Protocols for a

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Summary

A new quality-control procedure improves the accuracy of underwater light field measurements from the Biogeochemical-Argo program. This method enhances data for ocean optics applications by addressing sensor drift and temperature effects.

Keywords:
BGC-Argoquality controlradiometry

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Area of Science:

  • Oceanography
  • Optical Oceanography
  • Remote Sensing

Background:

  • The Biogeochemical-Argo program collects global underwater light field data.
  • Existing data quality control has limitations, particularly with sensor performance at depth.

Purpose of the Study:

  • To develop and validate a quality-control procedure for Argo radiometry data.
  • To improve the accuracy of underwater light measurements for delayed-mode distribution.

Main Methods:

  • Proposed a quality-control protocol using 1000 dbar parking depth and night-time profiles.
  • Tested the procedure on over 10,000 global profiles.
  • Included ancillary radiometric measurements and error estimation.

Main Results:

  • Achieved a quality-control success rate exceeding 90% for each spectral band.
  • Successfully re-qualified low radiometry values across diverse oceanic regions.
  • Demonstrated the procedure's effectiveness in addressing sensor dark responsiveness and temperature effects.

Conclusions:

  • The new procedure effectively enhances the quality of Argo radiometry data.
  • Recommendations for future deployments include daily 1000 dbar measurements and annual night profiles.
  • Improved data accuracy supports advanced ocean optics applications and biogeochemical studies.