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
Parents
62
FES2014 global ocean tide atlas: design and performance
Florent Lyard, Damien Allain, Mathilde Cancet et al. · Ocean science · 2021 · 587 citations · Full text
A new tide model for the Antarctic ice shelves and seas
Laurie Padman, H. A. Fricker, Richard Coleman et al. · Annals of Glaciology · 2002 · 467 citations · Full text
1–5 of 62
160
Laboratoire d’Études en Géophysique et Océanographie Spatiales, France
5 publications · 1.1K citations
5
h-index
5
h-index
5
h-index
5
h-index
4
h-index
1–5 of 160
80
Oregon State University
Corvallis, United States
9 h-index
19 publications
1.7K citations

Ocean University of China
Qingdao, China
9 h-index
22 publications
557 citations

Delft University of Technology
Delft, The Netherlands
4 h-index
10 publications
499 citations
Goddard Space Flight Center
Greenbelt, United States
3 h-index
7 publications
283 citations
Deltares
Delft, The Netherlands
3 h-index
7 publications
216 citations
Collecte Localisation Satellites (France)
Ramonville-Saint-Agne, France
3 h-index
3 publications
792 citations
Qingdao National Laboratory for Marine Science and Technology
Qingdao, China
3 h-index
11 publications
171 citations
Earth and Space Research
Seattle, United States
3 h-index
4 publications
1.4K citations
1–8 of 80
8 publications · 290 citations
8
h-index
JGR · 8 publications · 559 citations
8
h-index
5 publications · 562 citations
5
h-index
3 publications · 99 citations
3
h-index
3 publications · 239 citations
3
h-index
1–5