Ensemble Cloud Cover Forecasting
Ensemble Cloud Cover Forecasting is a cloud cover forecasting method that integrates multiple individual predictions from diverse models or perturbed initial conditions to quantify uncertainty and improve prediction accuracy by capturing a range of possible atmospheric states.
8
Publications
382
Citations
22
Authors
16
Institutions
Publications per year
2017–2026
3
Parents
8
Rebecca M. Cintineo, Jason A. Otkin, Ming Xue et al. · Monthly Weather Review · 2013 · 102 citations · Full text
Machine learning for total cloud cover prediction
Neural Computing and Applications · 2020 · 34 citations · Full text
1–5 of 8
22
1
h-index
1
h-index
Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland
1 publications · 29 citations
1
h-index
1
h-index
1
h-index
1–5 of 22
16
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
2 publications
67 citations

University of Debrecen
Debrecen, Hungary
2 h-index
6 publications
201 citations
Universidade Federal de Lavras
Lavras, Brazil
1 h-index
2 publications
182 citations

Pontifícia Universidade Católica de Minas Gerais
Belo Horizonte, Brazil
1 h-index
1 publications
91 citations

Indian Institute of Tropical Meteorology
Pune, India
1 h-index
1 publications
19 citations
Météo-France
Toulouse, France
1 h-index
2 publications
76 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
2 publications
76 citations

University of Bristol
Bristol, United Kingdom
1 h-index
1 publications
29 citations
1–8 of 16
3 publications · 150 citations
3
h-index
1 publications · 34 citations
1
h-index
1 publications · 91 citations
1
h-index
JAMC · 1 publications · 38 citations
1
h-index
1 publications · 36 citations
1
h-index
1–5