Retrieval Uncertainty Estimation
Retrieval Uncertainty Estimation is a methodological framework in atmospheric remote sensing that quantifies the uncertainty associated with retrieved geophysical parameters from satellite observations by characterizing the propagation of measurement noise, forward model errors, and prior knowledge uncertainties within the inversion process.
371
Publications
23.3K
Citations
1.6K
Authors
538
Institutions
Publications per year
2017–2026
147
371
Yuncang Li, Gottfried Kirchengast, Barbara Scherllin‐Pirscher et al. · Journal of Geophysical Research Atmospheres · 2013 · 690 citations
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Laboratoire des Sciences du Climat et de l'Environnement, France
12 publications · 800 citations
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Goddard Space Flight Center
Greenbelt, United States
26 h-index
97 publications
7.8K citations
Jet Propulsion Laboratory
Pasadena, United States
25 h-index
158 publications
15.1K citations

Centre National de la Recherche Scientifique
Paris, France
21 h-index
68 publications
3.5K citations
Colorado State University
Fort Collins, United States
19 h-index
33 publications
3.5K citations
Laboratoire des Sciences du Climat et de l'Environnement
Gif-sur-Yvette, France
17 h-index
47 publications
3.1K citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
15 h-index
43 publications
2.8K citations

Finnish Meteorological Institute
Helsinki, Finland
14 h-index
52 publications
1.7K citations
Harvard University
Cambridge, United States
14 h-index
32 publications
3K citations
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JGR · 38 publications · 4.2K citations
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50 publications · 2.5K citations
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22 publications · 1.2K citations
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17 publications · 1.1K citations
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18 publications · 840 citations
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