Multi-model Bias Correction
Multi-Model Bias Correction is a bias correction framework that integrates and adjusts systematic errors across multiple models by leveraging their collective strengths and inter-model relationships to produce more accurate and reliable ensemble outputs.
18
Publications
1.3K
Citations
89
Authors
57
Institutions
Publications per year
2017–2026
12
Parents
18
Risks of Model Weighting in Multimodel Climate Projections
Andreas Weigel, Reto Knutti, Mark A. Liniger et al. · Journal of Climate · 2010 · 396 citations · Full text
Pavel V. Afonine, Nigel W. Moriarty, Marat Mustyakimov et al. · Acta Crystallographica Section D Biological Crystallography · 2015 · 186 citations · Full text
1–5 of 18
89
Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland
2 publications · 427 citations
2
h-index
1
h-index
1
h-index
Centers for Disease Control and Prevention, United States
1 publications · 37 citations
1
h-index
1
h-index
1–5 of 89
57

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
258 citations
Federal Office of Meteorology and Climatology MeteoSwiss
Zurich, Switzerland
2 h-index
6 publications
1.3K citations
Institut de génétique et de biologie moléculaire et cellulaire
Illkirch-Graffenstaden, France
1 h-index
1 publications
186 citations
University of California, Berkeley
Berkeley, United States
1 h-index
1 publications
186 citations
Jožef Stefan Institute
Ljubljana, Slovenia
1 h-index
1 publications
186 citations
NORCE Research AS
Bergen, Norway
1 h-index
2 publications
74 citations
Centre of Excellence for Integrated Approaches in Chemistry and Biology of Proteins
Ljubljana, Slovenia
1 h-index
1 publications
186 citations

NOAA Air Resources Laboratory
College Park, United States
1 h-index
1 publications
35 citations
1–8 of 57
2 publications · 148 citations
2
h-index
2 publications · 68 citations
2
h-index
1 publications · 49 citations
1
h-index
1 publications · 72 citations
1
h-index
1 publications · 31 citations
1
h-index
1–5