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Overview of Anomaly Detection Processes at GDAC: Methods, Examples, and Quality Control

This document provides a comprehensive analysis of anomaly detection at GDAC for Argo data submissions. It covers how anomalies are detected, ranging from automatic tests to visual inspections, and outlines the quality control processes implemented for raw data (CTD, XBT). The report highlights common types of anomalies such as drift in salinity, bad measurements at profile extremities, and issues with sensor data. Additionally, it details the corrective actions taken, including automatic feedback mechanisms and daily summaries of problematic profiles.

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Overview of Anomaly Detection Processes at GDAC: Methods, Examples, and Quality Control

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  1. Status of Anomalies at GDAC C. COATANOAN & C. PERTUISOT

  2. Anomalies at GDAC How are detected the anomalies ? What kind of anomalies are detected ? Process of quality control Argo data submission Flow of raw data ctd, xbt, … Automatic tests, visual control Objective analysis Detection of anomalies database • Examples of anomalies (some of them corrected after detected by objective analysis) • Drift on salinity • Bad data on the last measurement (and first measurement) • Bad salinity associated to spikes • Bad data on a part of the profile (doubtful sensor)

  3. Anomalies at GDAC Spike

  4. Anomalies at GDAC

  5. Anomalies at GDAC CORRECTED

  6. Anomalies at GDAC

  7. Anomalies at GDAC CORRECTED

  8. Anomalies at GDAC

  9. Anomalies at GDAC

  10. Anomalies at GDAC CORRECTED

  11. Anomalies at GDAC CORRECTED

  12. Anomalies at GDAC

  13. Object :Your greylist file collect failed aoml_greylist.csv Sorry, your greylist file was rejected - DAC : aomlMetadata file doesn't exist for platform : 5900230Bad parameter FLUO for platform : 5900230Invalid start date 20080232 for platform : 39008Bad quality code 5 for platform : 39008Bad DAC XX for platform : 39008  Anomalies at GDAC • - Some of all the detected anomalies are due to automatic tests that are not sufficient to detect bad data. • - Some are corrected directly by the DAC with, or not, feedback from the GDAC. • - Actions done : Automatic feedback (in text files) to DAC • for incorrect greylist • in order to update the flags : • a daily email which contains the list of Argo profils highlighted by Objective Analysis and corrected by a Coriolis operator. • Informations also in csv format on • ftp://ftp.ifremer.fr/ifremer/argo/etc/ObjectiveAnalysisWarning • - Using feedback from the Altimetry comparison to correct some profiles (see next presentation)

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