Articles | Volume 20, issue 11
https://doi.org/10.5194/acp-20-6991-2020
https://doi.org/10.5194/acp-20-6991-2020
Research article
 | 
12 Jun 2020
Research article |  | 12 Jun 2020

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

Markus Kunze, Tim Kruschke, Ulrike Langematz, Miriam Sinnhuber, Thomas Reddmann, and Katja Matthes

Viewed

Total article views: 2,862 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,217 602 43 2,862 383 45 50
  • HTML: 2,217
  • PDF: 602
  • XML: 43
  • Total: 2,862
  • Supplement: 383
  • BibTeX: 45
  • EndNote: 50
Views and downloads (calculated since 31 Jan 2020)
Cumulative views and downloads (calculated since 31 Jan 2020)

Viewed (geographical distribution)

Total article views: 2,862 (including HTML, PDF, and XML) Thereof 2,918 with geography defined and -56 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Modelling the response of the atmosphere and its constituents to 11-year solar variations is subject to a certain uncertainty arising from the solar irradiance data set used in the chemistry–climate model (CCM) and the applied CCM itself. This study reveals significant influences from both sources on the variations in the solar response in the stratosphere and mesosphere. However, there are also regions where the random, unexplained part of the variations in the solar response is largest.
Altmetrics
Final-revised paper
Preprint