2017
DOI: 10.1002/2017jd026926
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Deriving Global OH Abundance and Atmospheric Lifetimes for Long‐Lived Gases: A Search for CH3CCl3 Alternatives

Abstract: An accurate estimate of global hydroxyl radical (OH) abundance is important for projections of air quality, climate, and stratospheric ozone recovery. As the atmospheric mixing ratios of methyl chloroform (CH3CCl3) (MCF), the commonly used OH reference gas, approaches zero, it is important to find alternative approaches to infer atmospheric OH abundance and variability. The lack of global bottom‐up emission inventories is the primary obstacle in choosing a MCF alternative. We illustrate that global emissions o… Show more

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Cited by 39 publications
(73 citation statements)
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“…However, understanding the temporal variability of the transport is important for understanding and interpreting the observed temporal variations in tracer concentrations and determining the relative role of changes in transport, emissions, sinks, and chemistry for different species. For example, observations of methyl chloroform, or other species with reaction with OH as their primary sink, can be used to infer the abundance of OH (e.g., Krol and Lelieveld, 2003;Prinn et al, 2005;Montzka et al, 2011;Liang et al, 2017), and knowledge of the seasonal and interannual variability of the transport is required to isolate similar variability in the OH abundance. Similarly, knowledge of the interannual variability of transport from the NH is required for estimates of the variability in emissions or sinks (ocean uptake) of CO 2 from measurements of CO 2 in the SH (e.g., Francey and Frederiksen, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…However, understanding the temporal variability of the transport is important for understanding and interpreting the observed temporal variations in tracer concentrations and determining the relative role of changes in transport, emissions, sinks, and chemistry for different species. For example, observations of methyl chloroform, or other species with reaction with OH as their primary sink, can be used to infer the abundance of OH (e.g., Krol and Lelieveld, 2003;Prinn et al, 2005;Montzka et al, 2011;Liang et al, 2017), and knowledge of the seasonal and interannual variability of the transport is required to isolate similar variability in the OH abundance. Similarly, knowledge of the interannual variability of transport from the NH is required for estimates of the variability in emissions or sinks (ocean uptake) of CO 2 from measurements of CO 2 in the SH (e.g., Francey and Frederiksen, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Interpretation of these trends has generally focused on changing emissions (Rice et al, 2016;Hausmann et al, 2016;Nisbet et al, 2016;Schaefer et al, 2016), but recent studies have suggested that the growth over the past decade could be contributed by a decline in global OH concentration Rigby et al, 2017). On the other hand, the trend in atmospheric CO over the past decade suggests an increase in global OH concentrations (Gaubert et al, 2017).…”
mentioning
confidence: 99%
“…Inferring OH trends from methyl chloroform will become more difficult in the future as concentrations approach the detection limit (Liang et al, 2017) and evasion from the ocean complicates interpretation (Wennberg et al, 2004). Finding an alternative proxy for tropospheric OH is viewed as a pressing problem in the atmospheric chemistry community (Lelieveld et al, 2006).…”
mentioning
confidence: 99%
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“…As emissions of CH 3 CCl 3 steadily decline, Liang et al (2017) suggest an alternative method: they combine several trace gases such as CH 2 F 2 , CH 2 FCF 3 , CH 3 CHF 2 and CHClF 2 in a gradient-trend-based two-box model approach to derive a global OH concentration of 11.2 × 10 5 molec cm −3 . Overall, global chemistry climate models estimate a tropospheric OH concentration of around 11 × 10 5 molec cm −3 , which compares well with the observation-based results from Prinn et al (2005) and Liang et al (2017).…”
Section: Introductionmentioning
confidence: 99%