Physics
Scientific paper
Nov 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007georl..3421811l&link_type=abstract
Geophysical Research Letters, Volume 34, Issue 21, CiteID L21811
Physics
7
Atmospheric Composition And Structure: Middle Atmosphere: Composition And Chemistry, Atmospheric Composition And Structure: General Or Miscellaneous, Atmospheric Composition And Structure: Instruments And Techniques
Scientific paper
A consistent time series of stratospheric inorganic chlorine Cl y from 1991 to present is formed using space-borne observations together with neural networks. A neural network is first used to account for inter-instrument biases in HCl observations. A second neural network is used to learn the abundance of Cl y as a function of HCl and CH4, and to form a time series using available HCl and CH4 measurements. The estimates of Cl y are broadly consistent with calculations based on tracer fractional releases and previous estimates of stratospheric age of air. These new estimates of Cl y provide a critical test for global models, which exhibit significant differences in predicted Cl y and ozone recovery.
Douglass Anne R.
Lary D. J.
Mussa H.
Newman Paul A.
Stolarski Richard S.
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