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/10.5445/ir/1000123312

Publication URI: https://publikationen.bibliothek.kit.edu/1000123312

Type: Other