Friday, 24 August 2007: 9:15 AM
Multnomah (DoubleTree by Hilton Portland)
A consistent time series of stratospheric inorganic chlorine Cly 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 Cly as a function of HCl and methane, and to form a time series using available HCl and methane measurements. The estimates of Cly are broadly consistent with calculations based on tracer fractional releases and previous estimates of stratospheric age of air. These new estimates of Cly provide a critical test for current global models that predict significant differences in Cly and ozone recovery.
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