Surface Observations Assimilation
Surface Observations Assimilation is a data assimilation method that integrates in situ measurements from surface-based observing systems into numerical weather prediction models to improve the accuracy of the initial atmospheric state by specifically constraining near-surface variables such as temperature, humidity, and wind speed.
91
Publications
3.8K
Citations
368
Authors
137
Institutions
Publications per year
2017–2026
27
91
An Hourly Assimilation–Forecast Cycle: The RUC
Stanley G. Benjamin, D. Dévényi, Stephen S. Weygandt et al. · Monthly Weather Review · 2004 · 647 citations
1–5 of 91
368
NOAA National Severe Storms Laboratory, United States
3 publications · 210 citations
3
h-index
NSF National Center for Atmospheric Research, United States
3 publications · 125 citations
3
h-index
NSF National Center for Atmospheric Research, United States
3 publications · 250 citations
3
h-index
2
h-index
2
h-index
1–5 of 368
137

NSF National Center for Atmospheric Research
Boulder, United States
9 h-index
31 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
26 publications
3.2K citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
6 h-index
18 publications
710 citations
University of Oklahoma
Norman, United States
5 h-index
13 publications
488 citations
Nanjing University
Nanjing, China
5 h-index
17 publications
1.3K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
4 publications
199 citations
Environment and Climate Change Canada
Ottawa, Canada
4 h-index
7 publications
203 citations
Institute of Atmospheric Physics
Beijing, China
4 h-index
22 publications
2.9K citations
1–8 of 137
22 publications · 1.3K citations
16
h-index
6 publications · 223 citations
6
h-index
4 publications · 63 citations
4
h-index
4 publications · 211 citations
4
h-index
4 publications · 137 citations
4
h-index
1–5