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Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence (2020)

First Author: Amos M

Attributed to: Data Science of the Natural Environment funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.17169/refubium-28401

Publication URI: https://refubium.fu-berlin.de/handle/fub188/28652

Type: Other