Fog Data Assimilation
Fog Data Assimilation is a computational methodology within atmospheric data assimilation that specifically integrates heterogeneous observational data with numerical weather prediction models to improve the accuracy of fog onset, duration, and dissipation forecasts.
24
Publications
1.1K
Citations
82
Authors
53
Institutions
Publications per year
2017–2026
9
Parents
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A multichannel radiometric profiler of temperature, humidity, and cloud liquid
Richard L. Carpenter, J. Güldner, J. C. Liljegren et al. · Radio Science · 2003 · 240 citations
Fog Forecasting for the Southern Region: A Conceptual Model Approach
Paul Croft, Russell L. Pfost, Jeffrey M. Medlin et al. · Weather and Forecasting · 1997 · 79 citations
Pauline Martinet, Domenico Cimini, Frédéric Burnet et al. · Atmospheric measurement techniques · 2020 · 62 citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
5 h-index
25 publications
601 citations

NSF National Center for Atmospheric Research
Boulder, United States
5 h-index
7 publications
439 citations
Météo-France
Toulouse, France
4 h-index
18 publications
478 citations

Université Fédérale de Toulouse Midi-Pyrénées
Toulouse, France
3 h-index
15 publications
475 citations

Ocean University of China
Qingdao, China
2 h-index
8 publications
269 citations
National Research Council - Institute of Methodologies for Environmental Analysis
Tito, Italy
2 h-index
2 publications
77 citations
Federal Office of Meteorology and Climatology MeteoSwiss
Zurich, Switzerland
2 h-index
2 publications
51 citations

Deutscher Wetterdienst
Offenbach, Germany
1 h-index
1 publications
240 citations
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PAGEOPH · 4 publications · 159 citations
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3 publications · 161 citations
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2 publications · 64 citations
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2 publications · 122 citations
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2 publications · 80 citations
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