Tidal Data Assimilation

Tidal Data Assimilation is a computational methodology in physical oceanography that integrates observational tidal measurements with numerical hydrodynamic models to improve the accuracy and resolution of tidal state estimation by iteratively correcting model predictions through statistical optimization techniques.

62

Publications

4.1K

Citations

160

Authors

80

Institutions

Publications per year

2017–2026

12

Authors

160

  1. FL
    Florent Lyard

    Laboratoire d’Études en Géophysique et Océanographie Spatiales, France

    5 publications · 1.1K citations

    5

    h-index

  2. GD
    G. D. Egbert

    Oregon State University, United States

    5 publications · 415 citations

    5

    h-index

  3. SE
    S. Erofeeva

    Oregon State University, United States

    5 publications · 701 citations

    5

    h-index

  4. XL
    Xianqing Lv

    Ocean University of China, China

    5 publications · 106 citations

    5

    h-index

  5. RW
    R. W. Lardner

    Simon Fraser University, Canada

    4 publications · 215 citations

    4

    h-index

1–5 of 160

Venues

  1. Journal of Atmospheric and Oceanic Technology

    8 publications · 290 citations

    8

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 8 publications · 559 citations

    8

    h-index

  3. Geophysical Research Letters

    5 publications · 562 citations

    5

    h-index

  4. Ocean Dynamics

    3 publications · 99 citations

    3

    h-index

  5. Continental Shelf Research

    3 publications · 239 citations

    3

    h-index

1–5