Imperial College London
Alternate

Professor Joanna D. Haigh

Faculty of Natural Sciences, Department of Physics

Distinguished Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 7770j.haigh Website

 
 
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Assistant

 

Mr Luke Kratzmann +44 (0)20 7594 7770

 
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Location

 

Blackett LaboratorySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Sukhodolov:2016:10.1002/2015JD024277,
author = {Sukhodolov, T and Rozanov, E and Ball, WT and Bais, A and Tourpali, K and Shapiro, AI and Telford, P and Smyshlyaev, S and Fomin, B and Sander, R and Bossay, S and Bekki, S and Marchand, M and Chipperfield, MP and Dhomse, S and Haigh, JD and Peter, T and Schmutz, W},
doi = {10.1002/2015JD024277},
journal = {JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES},
pages = {6066--6084},
title = {Evaluation of simulated photolysis rates and their response to solar irradiance variability},
url = {http://dx.doi.org/10.1002/2015JD024277},
volume = {121},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The state of the stratospheric ozone layer and the temperature structure of the atmosphere are largely controlled by the solar spectral irradiance (SSI) through its influence on heating and photolysis rates. This study focuses on the uncertainties in the photolysis rate response to solar irradiance variability related to the choice of SSI data set and to the performance of the photolysis codes used in global chemistry-climate models. To estimate the impact of SSI uncertainties, we compared several photolysis rates calculated with the radiative transfer model libRadtran, using SSI calculated with two models and observed during the Solar Radiation and Climate Experiment (SORCE) satellite mission. The importance of the calculated differences in the photolysis rate response for ozone and temperature changes has been estimated using 1-D a radiative-convective-photochemical model. We demonstrate that the main photolysis reactions, responsible for the solar signal in the stratosphere, are highly sensitive to the spectral distribution of SSI variations. Accordingly, the ozone changes and related ozone-temperature feedback are shown to depend substantially on the SSI data set being used, which highlights the necessity of obtaining accurate SSI variations. To evaluate the performance of photolysis codes, we compared the results of eight, widely used, photolysis codes against two reference schemes. We show that, in most cases, absolute values of the photolysis rates and their response to applied SSI changes agree within 30%. However, larger errors may appear in specific atmospheric regions because of differences, for instance, in the treatment of Rayleigh scattering, quantum yields, or absorption cross sections.
AU  - Sukhodolov,T
AU  - Rozanov,E
AU  - Ball,WT
AU  - Bais,A
AU  - Tourpali,K
AU  - Shapiro,AI
AU  - Telford,P
AU  - Smyshlyaev,S
AU  - Fomin,B
AU  - Sander,R
AU  - Bossay,S
AU  - Bekki,S
AU  - Marchand,M
AU  - Chipperfield,MP
AU  - Dhomse,S
AU  - Haigh,JD
AU  - Peter,T
AU  - Schmutz,W
DO  - 10.1002/2015JD024277
EP  - 6084
PY  - 2016///
SN  - 2169-897X
SP  - 6066
TI  - Evaluation of simulated photolysis rates and their response to solar irradiance variability
T2  - JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
UR  - http://dx.doi.org/10.1002/2015JD024277
UR  - http://hdl.handle.net/10044/1/40160
VL  - 121
ER  -
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