Wave Data Quality Control

Wave Data Quality Control is a systematic methodological framework within oceanographic data processing that ensures the accuracy, consistency, and reliability of wave measurements by identifying, correcting, and eliminating errors and artifacts arising from instrumental, environmental, and procedural sources.

22

Publications

1.6K

Citations

80

Authors

29

Institutions

Publications per year

2017–2026

6

Authors

80

  1. KS
    K. Steele

    National Oceanic and Atmospheric Administration, United States

    2 publications · 79 citations

    2

    h-index

  2. YH
    Yuan-Huang Hsu

    National Space Science and Technology Center, United States

    2 publications · 79 citations

    2

    h-index

  3. MC
    Marios Christou

    Imperial College London, United Kingdom

    2 publications · 192 citations

    2

    h-index

  4. KE
    Kevin Ewans

    Shell (Netherlands), Netherlands

    2 publications · 192 citations

    2

    h-index

  5. NB
    N. Booij

    Delft University of Technology, Netherlands

    1 publications · 800 citations

    1

    h-index

1–5 of 80

Venues

  1. Ocean Engineering

    2 publications · 29 citations

    2

    h-index

  2. Journal of Sea Research

    JSR · 1 publications · 26 citations

    1

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 1 publications · 23 citations

    1

    h-index

  4. Remote Sensing

    1 publications · 23 citations

    1

    h-index

  5. IEEE Journal of Oceanic Engineering

    1 publications · 61 citations

    1

    h-index

1–5