Front Detection Algorithms is a computational methodology within meteorological analysis that identifies and delineates atmospheric convergence zones by detecting sharp gradients in wind, temperature, or moisture fields to distinguish frontal boundaries from surrounding synoptic conditions.
71
Publications
3.5K
Citations
241
Authors
137
Institutions
Publications per year
2017–2026
29
Parents
Publications
71
Front tracking for gas dynamics
I‐Liang Chern, James Glimm, Oliver A. McBryan et al. · Journal of Computational Physics · 1986 · 251 citations
1–5 of 71
Authors
241
- PC
6
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- IM
3
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- IS
3
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- AS
3
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- DU
3
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1–5 of 241
Institutions
137
University of Rhode Island
Kingston, United States
8 h-index
13 publications
1K citations
Centre National de la Recherche Scientifique
Paris, France
4 h-index
7 publications
221 citations
Institut de Recherche pour le Développement
Marseille, France
3 h-index
6 publications
387 citations
Woods Hole Oceanographic Institution
Falmouth, United States
3 h-index
8 publications
300 citations
Ocean University of China
Qingdao, China
3 h-index
12 publications
277 citations
The University of Melbourne
Melbourne, Australia
3 h-index
5 publications
389 citations
ETH Zurich
Zurich, Switzerland
3 h-index
9 publications
855 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
8 publications
301 citations
1–8 of 137
Venues
- Remote Sensing of Environment
7 publications · 274 citations
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- Journal of Atmospheric and Oceanic Technology
5 publications · 332 citations
5
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- Monthly Weather Review
4 publications · 463 citations
4
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- IEEE Geoscience and Remote Sensing Letters
GRSL · 4 publications · 86 citations
4
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- Meteorological Applications
2 publications · 157 citations
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