Cloud Cover Uncertainty Quantification
Cloud Cover Uncertainty Quantification is a systematic method for characterizing the epistemic and aleatoric uncertainties associated with predictions of cloud cover extent and dynamics in meteorological forecasting models.
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2K
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130
Authors
79
Institutions
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2017–2026
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Stuart A. Young, Mark Vaughan, Ralph E. Kuehn et al. · Journal of Atmospheric and Oceanic Technology · 2012 · 189 citations
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University of Reading
Reading, United Kingdom
4 h-index
8 publications
231 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
133 citations

Beihang University
Beijing, China
3 h-index
7 publications
287 citations

Centrum Badań Kosmicznych
Warsaw, Poland
2 h-index
3 publications
46 citations
University of California San Diego
San Diego, United States
2 h-index
6 publications
304 citations

Central South University
Changsha, China
2 h-index
3 publications
173 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
350 citations
National Oceanic and Atmospheric Administration
Washington, United States
2 h-index
2 publications
67 citations
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JGR · 5 publications · 433 citations
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4 publications · 213 citations
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JGR · 3 publications · 195 citations
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2 publications · 44 citations
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2 publications · 187 citations
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