<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

A Strategy for Process-Oriented Validation of Coupled Chemistry–Climate Models

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 01 Aug 2005 Germany, United Kingdom, United States, United Kingdom Publisher:American Meteorological SocietyJournal:Bulletin of the American Meteorological Society, volume 86, pages 1,117-1,134 (issn: 0003-0007, eissn: 1520-0477,

Authors: Eyring, V.; Harris, N. R. P; Rex, M.; Shepherd, T. G; Fahey, D. W; Amanatidis, G. T; Austin, J.; +13 Authors

doi: 10.1175/bams-86-8-1117

A Strategy for Process-Oriented Validation of Coupled Chemistry–Climate Models

- Summary
- Subjects
- Metrics

Abstract

Evaluating CCMs with the presented framework will increase our confidence in predictions of stratospheric ozone change.

Countries

Germany, United Kingdom, United States, United Kingdom

Related Organizations

Alfred Wegener Institute for Polar and Marine Research
Germany
University of California System
United States
University of Reading
United Kingdom
German Aerospace Center
Germany
University of Reading
United Kingdom

View all View all

Keywords

atmospheric chemistry, upper atmosphere, greenhouse effect, Global Chemistry Climate Modelling, climate change, Ozone, process oriented, mathematical models, ozone layer

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	125
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%