Multi-model Forecasting
Multi-Model Forecasting is a forecasting methodology that integrates predictions from multiple independent numerical weather prediction models to improve forecast accuracy and reliability by leveraging inter-model diversity and reducing systematic biases inherent in individual models.
412
Publications
21.8K
Citations
2K
Authors
717
Institutions
Publications per year
2017–2026
211
Variants
Multi-model Forecast
Parents
412
Multimodel Ensemble Forecasts for Weather and Seasonal Climate
T. N. Krishnamurti, C. M. Kishtawal, Zhan Zhang et al. · Journal of Climate · 2000 · 643 citations · Full text
1–5 of 412
2K
Institució Catalana de Recerca i Estudis Avançats, Spain
25 publications · 3.8K citations
20
h-index
10
h-index
European Centre for Medium-Range Weather Forecasts, United Kingdom
9 publications · 3.1K citations
9
h-index
European Centre for Medium-Range Weather Forecasts, United Kingdom
7 publications · 2.6K citations
7
h-index
7
h-index
1–5 of 2K
717

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
25 h-index
30 publications
4.2K citations
Met Office
Exeter, United Kingdom
14 h-index
18 publications
1.1K citations
Florida State University
Tallahassee, United States
13 h-index
13 publications
1.5K citations

China Meteorological Administration
Beijing, China
12 h-index
14 publications
501 citations
University of Reading
Reading, United Kingdom
11 h-index
13 publications
807 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
11 h-index
13 publications
442 citations

Barcelona Supercomputing Center
Barcelona, Spain
11 h-index
13 publications
442 citations
Institució Catalana de Recerca i Estudis Avançats
Barcelona, Spain
11 h-index
11 publications
402 citations
1–8 of 717
20 publications · 2.2K citations
17
h-index
23 publications · 1.3K citations
17
h-index
19 publications · 1.2K citations
15
h-index
15 publications · 1.3K citations
14
h-index
10 publications · 402 citations
10
h-index
1–5