Thickness Data Assimilation

Thickness Data Assimilation is a computational methodology within geophysical data integration that specifically combines observational sea ice thickness measurements with numerical model predictions to produce temporally and spatially consistent estimates of sea ice thickness distribution.

42

Publications

2K

Citations

176

Authors

96

Institutions

Publications per year

2017–2026

23

Authors

176

  1. QY
    Qinghua Yang

    Sun Yat-sen University, China

    6 publications · 378 citations

    6

    h-index

  2. ML
    Martin Lösch

    Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Germany

    5 publications · 332 citations

    5

    h-index

  3. LN
    Lars Nerger

    Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Germany

    5 publications · 332 citations

    5

    h-index

  4. FM
    François Massonnet

    UCLouvain, Belgium

    4 publications · 215 citations

    4

    h-index

  5. JX
    Jiping Xie

    Nansen Environmental and Remote Sensing Center

    4 publications · 129 citations

    4

    h-index

1–5 of 176

Venues

  1. ˜The œcryosphere

    12 publications · 444 citations

    11

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 5 publications · 237 citations

    5

    h-index

  3. Ocean science

    3 publications · 121 citations

    3

    h-index

  4. Journal of Glaciology

    2 publications · 83 citations

    2

    h-index

  5. Annals of Glaciology

    2 publications · 57 citations

    2

    h-index

1–5