Correction to “Nitric acid condensation on ice: 1. Non‐HNO3 constituent of NOY condensing on upper tropospheric cirrus particles”

Gamblin, B.; Toon, O. B.; Tolbert, Margaret A.; Kondo, Yutaka; Takegawa, N.; Irie, Hitoshi; Koike, Manabu; Ballenthin, J. O.; Hunton, D. E.; Miller, Thomas M.; Viggiano, Albert A.; Anderson, B. E.; Avery, M. A.; Sachse, G. W.; Podolske, J. R.; Guenther, Kurt P.; Sorenson, Carl; Mahoney, Michael J.

doi:10.1029/2006jd008266

Cited by 1 publication

(12 citation statements)

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Section: Atmospheric Data Comparisonmentioning

confidence: 99%

“…[6] For the SOLVE-I mission, only higher-altitude data (where [O 3 ] > 100 ppbv) from the Gamblin et al [2006] ''data set'' were examined in this study. As shown by Gamblin et al [2006], at [O 3 ] > 100 ppbv HNO 3 is the primary component of NO Y that has condensed on ice. Furthermore, the surface area for the [O 3 ] > 100 ppbv SOLVE-I data was increased by a factor of 2, as discussed by Gamblin et al [2006], because the FSSP-300 is known to underrepresent cirrus cloud surface areas [Heymsfield et al, 1990] and studies suggest the instrument could measure surface areas low by a factor of 2 to 10 ( Kondo et al [2003], Hallar et al [2004], respectively).…”

Section: Atmospheric Data Comparisonmentioning

confidence: 99%

“…Each particulate NO Y value was then divided by the corresponding FSSP-300 surface area at that particular time and the NO Y instrument enhancement factor to obtain a value for surface coverage in units of molecules/cm 2 . This calculation is described in further detail by Gamblin et al [2006]. We examine SOLVE-I data, specifically data collected on 23 January 2000, and show that the large spread in the SOLVE-I surface coverage data occurs because, at the time of sampling, HNO 3 condensation on ice had not attained equilibrium.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…[5] Kondo et al [2003] and Gamblin et al [2006] have shown that during the SOLVE-I mission, condensation on ice is a significant sink for NO Y despite submonolayer surface coverages. Gamblin et al [2006] reexamined the SOLVE-I surface coverage data and found that the process of NO Y condensation on ice behaves differently at different regimes of O 3 abundance. At [O 3 ] < 100 ppbv (''lower altitude '' or ''upper tropospheric'' air), HNO 3 is not the predominant species condensing to form particulate NO Y but may compete with other NO Y species when condensing on upper tropospheric ice (N 2 O 5 is suggested as the primary component).…”

Section: Introductionmentioning

confidence: 99%

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Nitric acid condensation on ice: 2. Kinetic limitations, a possible “cloud clock” for determining cloud parcel lifetime

et al. 2007

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[1] Measurements of NO Y condensation on cirrus particles found in stratospherically influenced air sampled during the SOLVE-I mission are analyzed and compared with data from other field studies of HNO 3 or NO Y condensation on ice. Each field study exhibits an order of magnitude data spread for constant HNO 3 pressures and temperatures. While others assumed this distribution is due to random error, the data spread exceeds instrument precision errors and instead suggests HNO 3 removal had not attained equilibrium at the time of sampling. During the SOLVE-I mission, condensation on ice was a significant sink for HNO 3 despite submonolayer surface coverages; we therefore propose condensation of HNO 3 on lower-stratospheric cirrus particles is controlled by kinetics and will occur at a kinetically limited rate. Furthermore, we suggest the low accommodation coefficient for HNO 3 on ice combined with relatively short-lived clouds causes highly scattered, limited HNO 3 uptake on cirrus particles. We couple laboratory data on the accommodation coefficient of HNO 3 on ice with field surface coverage data in order to generate a ''cloud clock'': a calculation to determine the age of a cloud parcel. Data from the aforementioned field studies are compared to theoretical models for equilibrium surface coverage on the basis of laboratory data extrapolated to atmospheric temperatures and HNO 3 pressures. This comparison is difficult because most of the atmospheric data are probably not at equilibrium and follow a condensation time curve rather than an equilibrium surface coverage curve. Finally, we develop a simple mathematical solution for the time required for HNO 3 condensation on ice.

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Section: Atmospheric Data Comparisonmentioning

confidence: 99%