Sequential Data Assimilation
Sequential Data Assimilation is a data assimilation method that recursively updates the system state estimate by sequentially incorporating observations as they become available, distinguishing itself from batch methods through its incremental, time-ordered processing of observational data.
188
Publications
19.8K
Citations
538
Authors
262
Institutions
Publications per year
2017–2026
54
188
Kayo Ide, Philippe Courtier, Michael Ghil et al. · Journal of the Meteorological Society of Japan Ser II · 1997 · 830 citations · Full text
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538
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NSF National Center for Atmospheric Research, United States
5 publications · 253 citations
5
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5
h-index
Luxembourg Institute of Science and Technology, Luxembourg
4 publications · 390 citations
4
h-index
1–5 of 538
262

Centre National de la Recherche Scientifique
Paris, France
12 h-index
67 publications
4.5K citations
Météo-France
Toulouse, France
8 h-index
40 publications
3K citations
University of Potsdam
Potsdam, Germany
7 h-index
17 publications
903 citations
Nansen Environmental and Remote Sensing Center
Bergen, Norway
7 h-index
12 publications
1.3K citations

NSF National Center for Atmospheric Research
Boulder, United States
6 h-index
15 publications
1.1K citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
6 h-index
14 publications
895 citations
Goddard Space Flight Center
Greenbelt, United States
6 h-index
14 publications
515 citations
Jet Propulsion Laboratory
Pasadena, United States
5 h-index
6 publications
1.4K citations
1–8 of 262
14 publications · 471 citations
14
h-index
11 publications · 2.1K citations
11
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11 publications · 940 citations
11
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JGR · 9 publications · 5.8K citations
9
h-index
7 publications · 678 citations
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