Real‐time quality assessment for Biogeochemical Argo radiometric profiles

Created March 23, 2026

Updated on March 25, 2026

approved
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Basic
Language
English
MainTitle
Real‐time quality assessment for Biogeochemical Argo radiometric profiles
Original ids
10.1002/lom3.10701; 20.500.14243/552803
Type
publication
bestAccessRight
OPEN
countries
Italy
Creator/Author
Full name
Giovanni La Forgia, orcid: 0000-0002-8543-6369 ; Emanuele Organelli, orcid: 0000-0001-8191-8179
Other
Description
<jats:title>Abstract</jats:title><jats:p>An ever‐increasing number of Biogeochemical (BGC) Argo floats equipped with radiometric sensors have been deployed across the World Ocean. To date, more than 50,000 vertical profiles from 0 to at least 250 dbar of photosynthetically available radiation and downwelling irradiance at 3, narrow wavelengths have been acquired. For scientific use of radiometric data, corrections for temperature effects and sensor drift are necessary. However, these adjustments are only partially provided in delayed mode, almost a year after acquisition and distribution. This makes automatic, real‐time quality control (RT‐QC) data processing of BGC‐Argo radiometry critically important. Nevertheless, only a range test has been applied to real‐time radiometric profiles, so far. By leveraging the full dataset of multispectral radiometric measurements from various BGC‐Argo platform types, we have developed a robust RT‐QC protocol for processing radiometric data and profiles, aimed at identifying potential sensor malfunctions, particularly those related to temperature effects. Data quality flags are attributed to each data point by considering the expected shape of the radiometric profile associated with the solar elevation during data acquisition. For both daytime and nighttime profiles, the new protocols automatically unveil data potentially dominated by temperature effects. The proposed methodology remains resilient to sensor drift and unstable sea conditions, and it also holds promise for adaptation to data from cutting‐edge hyper‐spectral sensors mounted on BGC‐Argo floats.</jats:p>
Publication Date
2025-06-21
Publisher
Wiley
Subjects
BGC-Argo; Quality control; Radiometry
isGreen
false
isInDiamondJournal
false
Publication
Ending page
542
Name
Limnology and Oceanography: Methods
Publication
Article
Starting page
526
issnOnline
1541-5856
issnPrinted
1541-5856
vol
23
Other Research Product
Detailed informations
system:type
Research Product
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Last Updated
March 25, 2026, 10:42 (UTC)
Created
March 23, 2026, 10:28 (UTC)
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