Actinometric and radiometric measurement and modeling of the photolysis rate coefficient of ozone to O(1D) during Mauna Loa Observatory Photochemistry Experiment 2

1996 ◽  
Vol 101 (D9) ◽  
pp. 14631-14642 ◽  
Author(s):  
Richard E. Shetter ◽  
Christopher A. Cantrell ◽  
Kathleen O. Lantz ◽  
Siri J. Flocke ◽  
John J. Orlando ◽  
...  
1996 ◽  
Vol 101 (D9) ◽  
pp. 14613-14630 ◽  
Author(s):  
K. O. Lantz ◽  
R. E. Shetter ◽  
C. A. Cantrell ◽  
S. J. Flocke ◽  
J. G. Calvert ◽  
...  

1992 ◽  
Vol 97 (D10) ◽  
pp. 10349 ◽  
Author(s):  
Richard E. Shetter ◽  
Anthony H. McDaniel ◽  
Christopher A. Cantrell ◽  
Sasha Madronich ◽  
Jack G. Calvert
Keyword(s):  

1988 ◽  
Vol 15 (11) ◽  
pp. 1181-1184 ◽  
Author(s):  
Winston T. Luke ◽  
Russell R. Dickerson

2014 ◽  
Vol 48 (3) ◽  
pp. 1557-1565 ◽  
Author(s):  
G. Copeland ◽  
E. P. F. Lee ◽  
R. G. Williams ◽  
A. T. Archibald ◽  
D. E. Shallcross ◽  
...  

2014 ◽  
Vol 14 (22) ◽  
pp. 12055-12067 ◽  
Author(s):  
J. C. Tao ◽  
C. S. Zhao ◽  
N. Ma ◽  
P. F. Liu

Abstract. Hygroscopic growth of aerosol particles can significantly affect their single-scattering albedo (ω), and consequently alters the aerosol effect on tropospheric photochemistry. In this study, the impact of aerosol hygroscopic growth on ω and its application to the NO2 photolysis rate coefficient (JNO2) are investigated for a typical aerosol particle population in the North China Plain (NCP). The variations of aerosol optical properties with relative humidity (RH) are calculated using a Mie theory aerosol optical model, on the basis of field measurements of number–size distribution and hygroscopic growth factor (at RH values above 90%) from the 2009 HaChi (Haze in China) project. Results demonstrate that ambient ω has pronouncedly different diurnal patterns from ω measured at dry state, and is highly sensitive to the ambient RHs. Ambient ω in the NCP can be described by a dry state ω value of 0.863, increasing with the RH following a characteristic RH dependence curve. A Monte Carlo simulation shows that the uncertainty of ω from the propagation of uncertainties in the input parameters decreases from 0.03 (at dry state) to 0.015 (RHs > 90%). The impact of hygroscopic growth on ω is further applied in the calculation of the radiative transfer process. Hygroscopic growth of the studied aerosol particle population generally inhibits the photolysis of NO2 at the ground level, whereas accelerates it above the moist planetary boundary layer. Compared with dry state, the calculated JNO2 at RH of 98% at the height of 1 km increases by 30.4%, because of the enhancement of ultraviolet radiation by the humidified scattering-dominant aerosol particles. The increase of JNO2 due to the aerosol hygroscopic growth above the upper boundary layer may affect the tropospheric photochemical processes and this needs to be taken into account in the atmospheric chemical models.


1988 ◽  
Vol 93 (D6) ◽  
pp. 7113-7118 ◽  
Author(s):  
Richard E. Shetter ◽  
James A. Davidson ◽  
Christopher A. Cantrell ◽  
Norbert J. Burzynski ◽  
Jack G. Calvert

Tellus B ◽  
2004 ◽  
Vol 56 (2) ◽  
pp. 118-127 ◽  
Author(s):  
H. Randriamiarisoa ◽  
P. Chazette ◽  
G. Megie

Tellus B ◽  
2004 ◽  
Vol 56 (2) ◽  
pp. 118-127 ◽  
Author(s):  
H. RANDRIAMIARISOA ◽  
P. CHAZETTE ◽  
G. MEGIE

2015 ◽  
Vol 15 (14) ◽  
pp. 7913-7927 ◽  
Author(s):  
H. G. Chan ◽  
M. D. King ◽  
M. M. Frey

Abstract. Snow photochemical processes drive production of chemical trace gases in snowpacks, including nitrogen oxides (NOx = NO + NO2) and hydrogen oxide radical (HOx = OH + HO2), which are then released to the lower atmosphere. Coupled atmosphere–snow modelling of theses processes on global scales requires simple parameterisations of actinic flux in snow to reduce computational cost. The disagreement between a physical radiative-transfer (RT) method and a parameterisation based upon the e-folding depth of actinic flux in snow is evaluated. In particular, the photolysis of the nitrate anion (NO3-), the nitrite anion (NO2-) and hydrogen peroxide (H2O2) in snow and nitrogen dioxide (NO2) in the snowpack interstitial air are considered. The emission flux from the snowpack is estimated as the product of the depth-integrated photolysis rate coefficient, v, and the concentration of photolysis precursors in the snow. The depth-integrated photolysis rate coefficient is calculated (a) explicitly with an RT model (TUV), vTUV, and (b) with a simple parameterisation based on e-folding depth, vze. The metric for the evaluation is based upon the deviation of the ratio of the depth-integrated photolysis rate coefficient determined by the two methods, vTUV/vze, from unity. The ratio depends primarily on the position of the peak in the photolysis action spectrum of chemical species, solar zenith angle and physical properties of the snowpack, i.e. strong dependence on the light-scattering cross section and the mass ratio of light-absorbing impurity (i.e. black carbon and HULIS) with a weak dependence on density. For the photolysis of NO2, the NO2- anion, the NO3- anion and H2O2 the ratio vTUV/vze varies within the range of 0.82–1.35, 0.88–1.28, 0.93–1.27 and 0.91–1.28 respectively. The e-folding depth parameterisation underestimates for small solar zenith angles and overestimates at solar zenith angles around 60° compared to the RT method. A simple algorithm has been developed to improve the parameterisation which reduces the ratio vTUV/vze to 0.97–1.02, 0.99–1.02, 0.99–1.03 and 0.98–1.06 for photolysis of NO2, the NO2- anion, the NO3- anion and H2O2 respectively. The e-folding depth parameterisation may give acceptable results for the photolysis of the NO3- anion and H2O2 in cold polar snow with large solar zenith angles, but it can be improved by a correction based on solar zenith angle and for cloudy skies.


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