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Quantifying uncertainties of climate signals in chemistry climate models related to the 11-year sola...

Quantifying uncertainties of climate signals in chemistry climate models related to the 11-year sola...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_794a7019130440f1a2ba4990198c4197

Quantifying uncertainties of climate signals in chemistry climate models related to the 11-year solar cycle – Part 1: Annual mean response in heating rates, temperature, and ozone

About this item

Full title

Quantifying uncertainties of climate signals in chemistry climate models related to the 11-year solar cycle – Part 1: Annual mean response in heating rates, temperature, and ozone

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Atmospheric chemistry and physics, 2020-06, Vol.20 (11), p.6991-7019

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

Scope and Contents

Contents

Variations in the solar spectral irradiance (SSI) with the 11-year sunspot cycle have been shown to have a significant impact on temperatures and the mixing ratios of atmospheric constituents in the stratosphere and mesosphere. Uncertainties in modelling the effects of SSI variations arise from uncertainties in the empirical models reconstructing t...

Alternative Titles

Full title

Quantifying uncertainties of climate signals in chemistry climate models related to the 11-year solar cycle – Part 1: Annual mean response in heating rates, temperature, and ozone

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_794a7019130440f1a2ba4990198c4197

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_794a7019130440f1a2ba4990198c4197

Other Identifiers

ISSN

1680-7324,1680-7316

E-ISSN

1680-7324

DOI

10.5194/acp-20-6991-2020

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