Comment on "Cosmic-ray-driven reaction and greenhouse effect of halogenated molecules: Culprits for atmospheric ozone depletion and global climate change"

Nuccitelli, Dana, Cowtan, Kevin, Jacobs, Peter, Richardson, Mark, Way, Robert, Blackburn, Anne-Marie, Stolpe, Martin and Cook, John (2014) Comment on "Cosmic-ray-driven reaction and greenhouse effect of halogenated molecules: Culprits for atmospheric ozone depletion and global climate change". International Journal of Modern Physics B, 28 13: 1482003.1-1482003.16. doi:10.1142/S0217979214820037


Author Nuccitelli, Dana
Cowtan, Kevin
Jacobs, Peter
Richardson, Mark
Way, Robert
Blackburn, Anne-Marie
Stolpe, Martin
Cook, John
Title Comment on "Cosmic-ray-driven reaction and greenhouse effect of halogenated molecules: Culprits for atmospheric ozone depletion and global climate change"
Journal name International Journal of Modern Physics B   Check publisher's open access policy
ISSN 0217-9792
1793-6578
Publication date 2014-05-20
Sub-type Article (original research)
DOI 10.1142/S0217979214820037
Volume 28
Issue 13
Start page 1482003.1
End page 1482003.16
Total pages 16
Place of publication Singapore, Singapore
Publisher World Scientific Publishing
Language eng
Formatted abstract
Lu (2013) (L13) argued that solar effects and anthropogenic halogenated gases can explain most of the observed warming of global mean surface air temperatures since 1850, with virtually no contribution from atmospheric carbon dioxide (CO2) concentrations. Here we show that this conclusion is based on assumptions about the saturation of the CO2-induced greenhouse effect that have been experimentally falsified. L13 also confuses equilibrium and transient response, and relies on data sources that have been superseeded due to known inaccuracies. Furthermore, the statistical approach of sequential linear regression artificially shifts variance onto the first predictor. L13's artificial choice of regression order and neglect of other relevant data is the fundamental cause of the incorrect main conclusion. Consideration of more modern data and a more parsimonious multiple regression model leads to contradiction with L13's statistical results. Finally, the correlation arguments in L13 are falsified by considering either the more appropriate metric of global heat accumulation, or data on longer timescales.
Keyword Chlorofluorocarbons
Global warming
Global cooling
Global heat accumulation
Global climate change
Climate change
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Author Post-Print Permissible • 12 months to 24 months embargo

Document type: Journal Article
Sub-type: Article (original research)
Collections: Global Change Institute Publications
Official 2015 Collection
 
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Created: Fri, 11 Apr 2014, 19:27:14 EST by John Cook on behalf of Global Change Institute