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
42
Longjiang Mu, Martin Lösch, Qinghua Yang et al. · Journal of Geophysical Research Oceans · 2018 · 93 citations · Full text
1–5 of 42
176
6
h-index
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Germany
5 publications · 332 citations
5
h-index
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Germany
5 publications · 332 citations
5
h-index
4
h-index
4
h-index
1–5 of 176
96
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
Bremerhaven, Germany
8 h-index
37 publications
1.9K citations
Max Planck Institute for Meteorology
Hamburg, Germany
5 h-index
13 publications
434 citations
Nansen Environmental and Remote Sensing Center
Bergen, Norway
5 h-index
15 publications
489 citations
National Marine Environmental Forecasting Center
Beijing, China
4 h-index
4 publications
258 citations
Centre for Polar Observation and Modelling
Leeds, United Kingdom
4 h-index
7 publications
391 citations
University College London
London, United Kingdom
4 h-index
4 publications
226 citations
UCLouvain
Louvain-la-Neuve, Belgium
4 h-index
13 publications
742 citations
Bjerknes Centre for Climate Research
Bergen, Norway
4 h-index
11 publications
331 citations
1–8 of 96
12 publications · 444 citations
11
h-index
JGR · 5 publications · 237 citations
5
h-index
3 publications · 121 citations
3
h-index
2 publications · 83 citations
2
h-index
2 publications · 57 citations
2
h-index
1–5