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Frontiers in Climate
(Dec 2021)
Editorial: New Techniques for Improving Climate Models, Predictions and Projections
Matthew Collins,
Karumuri Ashok,
Marcelo Barreiro,
Mathew Koll Roxy,
Sarah M. Kang,
Thomas L. Frölicher,
Thomas L. Frölicher,
Guojian Wang,
Renata Goncalves Tedeschi
Affiliations
Matthew Collins
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom
Karumuri Ashok
University of Hyderabad, Hyderabad, India
Marcelo Barreiro
Department of Atmospheric Sciences, School of Sciences, Universidad de la República, Montevideo, Uruguay
Mathew Koll Roxy
Centre for Climate Change Research, Indian Institute of Tropical Meteorology (IITM), Pune, India
Sarah M. Kang
Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
Thomas L. Frölicher
Climate and Environmental Physics, University of Bern, Bern, Switzerland
Thomas L. Frölicher
Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
Guojian Wang
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, ACT, Australia
Renata Goncalves Tedeschi
Instituto Tecnológico Vale (ITV), Desenvolvimento Sustentável, Belém, Brazil
DOI
https://doi.org/10.3389/fclim.2021.811205
Journal volume & issue
Vol. 3
Abstract
Read online
No abstracts available.
Keywords
climate
predictions
projections
machine learning
data assimilation
uncertainties
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