Covariance Localization
Covariance Localization is a statistical filtering technique in data assimilation that belongs to the class of covariance regularization methods, distinguished by its use of spatially dependent weighting to suppress spurious correlations arising from limited ensemble sampling in ensemble-based state estimation, particularly when assimilating radar observations into numerical weather prediction models.
89
Publications
4.4K
Citations
162
Authors
92
Institutions
Publications per year
2017–2026
26
89
1–5 of 89
162
9
h-index
7
h-index
7
h-index
NOAA Earth System Research Laboratory, United States
6 publications · 236 citations
6
h-index
5
h-index
1–5 of 162
92

NSF National Center for Atmospheric Research
Boulder, United States
11 h-index
24 publications
1.6K citations

United States Naval Research Laboratory
Washington, United States
6 h-index
15 publications
1.6K citations
Japan Agency for Marine-Earth Science and Technology
Yokosuka, Japan
6 h-index
11 publications
447 citations
University of Oklahoma
Norman, United States
6 h-index
13 publications
509 citations
NOAA Earth System Research Laboratory
Boulder, United States
6 h-index
11 publications
380 citations
Japan Meteorological Agency
Tokyo, Japan
5 h-index
7 publications
354 citations
Environment and Climate Change Canada
Ottawa, Canada
5 h-index
10 publications
432 citations
University of Maryland, College Park
College Park, United States
5 h-index
6 publications
231 citations
1–8 of 92
30 publications · 1.6K citations
25
h-index
9 publications · 541 citations
9
h-index
8 publications · 554 citations
8
h-index
5 publications · 253 citations
5
h-index
3 publications · 106 citations
3
h-index
1–5