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Upgrading photolysis in the p-TOMCAT CTM : model evaluation and assessment of the role of clouds.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Upgrading photolysis in the p-TOMCAT CTM : model evaluation and assessment of the role of clouds. / Voulgarakis, A.; Savage, N. H.; Wild, Oliver et al.
In: Geoscientific Model Development, Vol. 2, No. 1, 20.05.2009, p. 59-72.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Voulgarakis, A, Savage, NH, Wild, O, Carver, GD, Clemitshaw, KC & Pyle, JA 2009, 'Upgrading photolysis in the p-TOMCAT CTM : model evaluation and assessment of the role of clouds.', Geoscientific Model Development, vol. 2, no. 1, pp. 59-72. <http://www.geosci-model-dev.net/2/59/2009/gmd-2-59-2009.html>

APA

Voulgarakis, A., Savage, N. H., Wild, O., Carver, G. D., Clemitshaw, K. C., & Pyle, J. A. (2009). Upgrading photolysis in the p-TOMCAT CTM : model evaluation and assessment of the role of clouds. Geoscientific Model Development, 2(1), 59-72. http://www.geosci-model-dev.net/2/59/2009/gmd-2-59-2009.html

Vancouver

Voulgarakis A, Savage NH, Wild O, Carver GD, Clemitshaw KC, Pyle JA. Upgrading photolysis in the p-TOMCAT CTM : model evaluation and assessment of the role of clouds. Geoscientific Model Development. 2009 May 20;2(1):59-72.

Author

Voulgarakis, A. ; Savage, N. H. ; Wild, Oliver et al. / Upgrading photolysis in the p-TOMCAT CTM : model evaluation and assessment of the role of clouds. In: Geoscientific Model Development. 2009 ; Vol. 2, No. 1. pp. 59-72.

Bibtex

@article{536b0924329048cc8aabeb42300a2d33,
title = "Upgrading photolysis in the p-TOMCAT CTM : model evaluation and assessment of the role of clouds.",
abstract = "A new version of the p-TOMCAT Chemical Transport Model (CTM) which includes an improved photolysis code, Fast-JX, is validated. Through offline testing we show that Fast-JX captures well the observed J(NO2) and J(O1D) values obtained at Weybourne and during a flight above the Atlantic, though with some overestimation of J(O1D) when comparing to the aircraft data. By comparing p-TOMCAT output of CO and ozone with measurements, we find that the inclusion of Fast-JX in the CTM strongly improves the latter's ability to capture the seasonality and levels of tracers' concentrations. A probability distribution analysis demonstrates that photolysis rates and oxidant (OH, ozone) concentrations cover a broader range of values when using Fast-JX instead of the standard photolysis scheme. This is not only driven by improvements in the seasonality of cloudiness but also even more by the better representation of cloud spatial variability. We use three different cloud treatments to study the radiative effect of clouds on the abundances of a range of tracers and find only modest effects on a global scale. This is consistent with the most relevant recent study. The new version of the validated CTM will be used for a variety of future studies examining the variability of tropospheric composition and its drivers.",
keywords = "Tropospheric chemistry, short-wave radiation, photolysis",
author = "A. Voulgarakis and Savage, {N. H.} and Oliver Wild and Carver, {G. D.} and Clemitshaw, {K. C.} and Pyle, {J. A.}",
year = "2009",
month = may,
day = "20",
language = "English",
volume = "2",
pages = "59--72",
journal = "Geoscientific Model Development",
issn = "1991-9603",
publisher = "Copernicus Gesellschaft mbH",
number = "1",

}

RIS

TY - JOUR

T1 - Upgrading photolysis in the p-TOMCAT CTM : model evaluation and assessment of the role of clouds.

AU - Voulgarakis, A.

AU - Savage, N. H.

AU - Wild, Oliver

AU - Carver, G. D.

AU - Clemitshaw, K. C.

AU - Pyle, J. A.

PY - 2009/5/20

Y1 - 2009/5/20

N2 - A new version of the p-TOMCAT Chemical Transport Model (CTM) which includes an improved photolysis code, Fast-JX, is validated. Through offline testing we show that Fast-JX captures well the observed J(NO2) and J(O1D) values obtained at Weybourne and during a flight above the Atlantic, though with some overestimation of J(O1D) when comparing to the aircraft data. By comparing p-TOMCAT output of CO and ozone with measurements, we find that the inclusion of Fast-JX in the CTM strongly improves the latter's ability to capture the seasonality and levels of tracers' concentrations. A probability distribution analysis demonstrates that photolysis rates and oxidant (OH, ozone) concentrations cover a broader range of values when using Fast-JX instead of the standard photolysis scheme. This is not only driven by improvements in the seasonality of cloudiness but also even more by the better representation of cloud spatial variability. We use three different cloud treatments to study the radiative effect of clouds on the abundances of a range of tracers and find only modest effects on a global scale. This is consistent with the most relevant recent study. The new version of the validated CTM will be used for a variety of future studies examining the variability of tropospheric composition and its drivers.

AB - A new version of the p-TOMCAT Chemical Transport Model (CTM) which includes an improved photolysis code, Fast-JX, is validated. Through offline testing we show that Fast-JX captures well the observed J(NO2) and J(O1D) values obtained at Weybourne and during a flight above the Atlantic, though with some overestimation of J(O1D) when comparing to the aircraft data. By comparing p-TOMCAT output of CO and ozone with measurements, we find that the inclusion of Fast-JX in the CTM strongly improves the latter's ability to capture the seasonality and levels of tracers' concentrations. A probability distribution analysis demonstrates that photolysis rates and oxidant (OH, ozone) concentrations cover a broader range of values when using Fast-JX instead of the standard photolysis scheme. This is not only driven by improvements in the seasonality of cloudiness but also even more by the better representation of cloud spatial variability. We use three different cloud treatments to study the radiative effect of clouds on the abundances of a range of tracers and find only modest effects on a global scale. This is consistent with the most relevant recent study. The new version of the validated CTM will be used for a variety of future studies examining the variability of tropospheric composition and its drivers.

KW - Tropospheric chemistry

KW - short-wave radiation

KW - photolysis

M3 - Journal article

VL - 2

SP - 59

EP - 72

JO - Geoscientific Model Development

JF - Geoscientific Model Development

SN - 1991-9603

IS - 1

ER -