Upgrading photolysis in the p-TOMCAT CTM: Model validation and assessment of the role of clouds. / Voulgarakis , A; Savage, N H ; Wild, O ; Carver, G D ; Clemitshaw, Kevin C; Pyle, J A .

In: Geoscientific Model Development Discussions, 2008, p. 345-379.

Research output: Contribution to journalArticlepeer-review

Published

Standard

Upgrading photolysis in the p-TOMCAT CTM: Model validation and assessment of the role of clouds. / Voulgarakis , A; Savage, N H ; Wild, O ; Carver, G D ; Clemitshaw, Kevin C; Pyle, J A .

In: Geoscientific Model Development Discussions, 2008, p. 345-379.

Research output: Contribution to journalArticlepeer-review

Harvard

Voulgarakis , A, Savage, NH, Wild, O, Carver, GD, Clemitshaw, KC & Pyle, JA 2008, 'Upgrading photolysis in the p-TOMCAT CTM: Model validation and assessment of the role of clouds', Geoscientific Model Development Discussions, pp. 345-379. https://doi.org/doi:10.5194/gmdd-1-345-2008

APA

Voulgarakis , A., Savage, N. H., Wild, O., Carver, G. D., Clemitshaw, K. C., & Pyle, J. A. (2008). Upgrading photolysis in the p-TOMCAT CTM: Model validation and assessment of the role of clouds. Geoscientific Model Development Discussions, 345-379. https://doi.org/doi:10.5194/gmdd-1-345-2008

Vancouver

Voulgarakis A, Savage NH, Wild O, Carver GD, Clemitshaw KC, Pyle JA. Upgrading photolysis in the p-TOMCAT CTM: Model validation and assessment of the role of clouds. Geoscientific Model Development Discussions. 2008;345-379. https://doi.org/doi:10.5194/gmdd-1-345-2008

Author

Voulgarakis , A ; Savage, N H ; Wild, O ; Carver, G D ; Clemitshaw, Kevin C ; Pyle, J A . / Upgrading photolysis in the p-TOMCAT CTM: Model validation and assessment of the role of clouds. In: Geoscientific Model Development Discussions. 2008 ; pp. 345-379.

BibTeX

@article{f22511f1f08d46a29fa828c934151be5,
title = "Upgrading photolysis in the p-TOMCAT CTM: Model validation 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 observed J(NO2) and J(O1D) values well, though with some overestimation of J(O1D) when comparing to data retrieved during a flight. 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 two-stream photolysis code. 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.",
author = "A Voulgarakis and Savage, {N H} and O Wild and Carver, {G D} and Clemitshaw, {Kevin C} and Pyle, {J A}",
year = "2008",
doi = "doi:10.5194/gmdd-1-345-2008",
language = "English",
pages = "345--379",
journal = "Geoscientific Model Development Discussions",
issn = "1991-9611",

}

RIS

TY - JOUR

T1 - Upgrading photolysis in the p-TOMCAT CTM: Model validation and assessment of the role of clouds

AU - Voulgarakis , A

AU - Savage, N H

AU - Wild, O

AU - Carver, G D

AU - Clemitshaw, Kevin C

AU - Pyle, J A

PY - 2008

Y1 - 2008

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 observed J(NO2) and J(O1D) values well, though with some overestimation of J(O1D) when comparing to data retrieved during a flight. 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 two-stream photolysis code. 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 observed J(NO2) and J(O1D) values well, though with some overestimation of J(O1D) when comparing to data retrieved during a flight. 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 two-stream photolysis code. 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.

U2 - doi:10.5194/gmdd-1-345-2008

DO - doi:10.5194/gmdd-1-345-2008

M3 - Article

SP - 345

EP - 379

JO - Geoscientific Model Development Discussions

JF - Geoscientific Model Development Discussions

SN - 1991-9611

ER -