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Enhancing Long-Term Ocean Data Quality Through Comprehensive Calibration Plans

Cabled observatories provide crucial long-term real-time ocean data, but without proper sensor drift histories and inter-laboratory calibration, trends and events can be easily lost due to data quality issues. While temperature data accuracy is simple to maintain, conductivity and oxygen data require more attention due to fouling and sensor drift. ARGO program practices and post-deployment processing are key in ensuring accurate time series data. Recommendations include establishing a comprehensive calibration plan, inter-lab comparisons, and maintaining detailed sensor calibration history to enhance data quality.

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Enhancing Long-Term Ocean Data Quality Through Comprehensive Calibration Plans

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  1. Cabled observatories will produce long time series of real time physical ocean data -- revealing: Trends Long-period fluctuations (>1 year) Events But, without sensor drift histories and laboratory inter-calibration, trends and events will be lost in: Sensor drift Calibration variability Data Quality Issues

  2. Data Quality Issues • Accurate real time temperature data is easily achieved -- drift rates are typically 0.002 °C/year • Accurate real time conductivity and oxygen data is more difficult to achieve: • Conductivity and oxygen are subject to fouling – especially at shallow depths • Polarographic oxygen sensors drift even before deployment

  3. Calibration Policies • ARGO program: careful handling minimizes these problems in deep deployments • Most accurate time series will still require: • Post deployment processing to correct drift • Comprehensive plan for sensor calibration • Conversion of data to scientific units will be performed on shore

  4. Recommendations • Establish comprehensive calibration plan: • Pre-deployment and post deployment calibrations • Inter-lab comparisons • Maintain sensor calibration history as part of the data library • Associate or attach this drift history to unprocessed data

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