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USACE Coastal and Hydraulics Laboratory Quality Controlled, Consistent Measurement Archive.

Candice Hall1,2, Robert E Jensen3

  • 1USACE Engineer Research and Development Center, Vicksburg, MS, USA. candice.hall@usace.army.mil.

Scientific Data
|May 31, 2022
PubMed
Summary
This summary is machine-generated.

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The US Army Corps of Engineers created a quality-controlled data archive for National Oceanic and Atmospheric Administration buoy measurements. This improves wave model validation and coastal applications by ensuring consistent, verified data.

Area of Science:

  • Oceanography
  • Coastal Engineering
  • Data Science

Background:

  • National Oceanic and Atmospheric Administration (NOAA) National Data Buoy Center (NDBC) data are crucial for US Army Corps of Engineers (USACE) wave models and coastal applications.
  • Inconsistent data storage, metadata, and quality control across NDBC archives hinder reliable data utilization.

Purpose of the Study:

  • To develop an independent, quality-controlled, and consistent (QCC) Measurement Archive for NDBC buoy data.
  • To address data inconsistencies and improve the reliability of NDBC measurements for USACE applications.

Main Methods:

  • Developed an independent archive to capture the best available NDBC observations with verified metadata.
  • Implemented a methodology focusing on geographical location and wave parameters for data quality improvements.

Related Experiment Videos

  • Ensured the archive is self-describing for consistent storage and geographical quality assurance/quality control (QA/QC).

    • Main Results:

    • Demonstrated improvements in data quality through examples of geographical location and wave parameters.
    • Established a database of consistently stored, geographically QA/QC'd NDBC data and metadata.
    • The archive removes known erroneous data but does not verify data quality from alternate sources.

    Conclusions:

    • The USACE QCC Measurement Archive provides a reliable and consistent source of NDBC data.
    • This archive enhances the validation of wave models and supports coastal applications.
    • Standardized data access and quality control improve the usability of critical oceanographic measurements.