Editorial: New Techniques for Improving Climate Models, Predictions and Projections

dc.contributor.author Collins, Matthew
dc.contributor.author Ashok, Karumuri
dc.contributor.author Barreiro, Marcelo
dc.contributor.author Roxy, Mathew Koll
dc.contributor.author Kang, Sarah M.
dc.contributor.author Frölicher, Thomas L.
dc.contributor.author Wang, Guojian
dc.contributor.author Tedeschi, Renata Goncalves
dc.date.accessioned 2022-03-26T23:49:39Z
dc.date.available 2022-03-26T23:49:39Z
dc.date.issued 2021-12-07
dc.identifier.citation Frontiers in Climate. v.3
dc.identifier.uri 10.3389/fclim.2021.811205
dc.identifier.uri https://www.frontiersin.org/articles/10.3389/fclim.2021.811205/full
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/2531
dc.subject climate
dc.subject data assimilation
dc.subject machine learning
dc.subject predictions
dc.subject projections
dc.subject uncertainties
dc.title Editorial: New Techniques for Improving Climate Models, Predictions and Projections
dc.type Journal. Editorial
dspace.entity.type
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