Imperial College London
Alternate

ProfessorRalfToumi

Faculty of Natural Sciences, The Grantham Institute for Climate Change

Co-Director, Grantham Institute - Climate Change&Environment
 
 
 
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Contact

 

+44 (0)20 7594 7668r.toumi Website CV

 
 
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Location

 

713Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Poulain:2016:10.1016/j.jastp.2016.03.010,
author = {Poulain, V and Bekki, S and Marchand, M and Chipperfield, MP and Khodri, M and Lefevre, F and Dhomse, S and Bodeker, GE and Toumi, R and De, Maziere M and Pommereau, J-P and Pazmino, A and Goutail, F and Plummer, D and Rozanov, E and Mancini, E and Akiyoshi, H and Lamarque, J-F and Austin, J},
doi = {10.1016/j.jastp.2016.03.010},
journal = {Journal of Atmospheric and Solar-Terrestrial Physics},
pages = {61--84},
title = {Evaluation of the inter-annual variability of stratospheric chemical composition in chemistry-climate models using ground-based multi species time series},
url = {http://dx.doi.org/10.1016/j.jastp.2016.03.010},
volume = {145},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The variability of stratospheric chemical composition occurs on a broad spectrum of timescales, ranging from day to decades. A large part of the variability appears to be driven by external forcings such as volcanic aerosols, solar activity, halogen loading, levels of greenhouse gases (GHG), and modes of climate variability (quasi-biennial oscillation (QBO), El Niño-Southern Oscillation (ENSO)). We estimate the contributions of different external forcings to the interannual variability of stratospheric chemical composition and evaluate how well 3-D chemistry-climate models (CCMs) can reproduce the observed response-forcing relationships. We carry out multivariate regression analyses on long time series of observed and simulated time series of several traces gases in order to estimate the contributions of individual forcings and unforced variability to their internannual variability. The observations are typically decadal time series of ground-based data from the international Network for the Detection of Atmospheric Composition Change (NDACC) and the CCM simulations are taken from the CCMVal-2 REF-B1 simulations database. The chemical species considered are column O3, HCl, NO2, and N2O. We check the consistency between observations and model simulations in terms of the forced and internal components of the total interannual variability (externally forced variability and internal variability) and identify the driving factors in the interannual variations of stratospheric chemical composition over NDACC measurement sites. Overall, there is a reasonably good agreement between regression results from models and observations regarding the externally forced interannual variability. A much larger fraction of the observed and modelled interannual variability is explained by external forcings in the tropics than in the extratropics, notably in polar regions. CCMs are able to reproduce the amplitudes of responses in chemical composition to specific external forcings. H
AU  - Poulain,V
AU  - Bekki,S
AU  - Marchand,M
AU  - Chipperfield,MP
AU  - Khodri,M
AU  - Lefevre,F
AU  - Dhomse,S
AU  - Bodeker,GE
AU  - Toumi,R
AU  - De,Maziere M
AU  - Pommereau,J-P
AU  - Pazmino,A
AU  - Goutail,F
AU  - Plummer,D
AU  - Rozanov,E
AU  - Mancini,E
AU  - Akiyoshi,H
AU  - Lamarque,J-F
AU  - Austin,J
DO  - 10.1016/j.jastp.2016.03.010
EP  - 84
PY  - 2016///
SN  - 1364-6826
SP  - 61
TI  - Evaluation of the inter-annual variability of stratospheric chemical composition in chemistry-climate models using ground-based multi species time series
T2  - Journal of Atmospheric and Solar-Terrestrial Physics
UR  - http://dx.doi.org/10.1016/j.jastp.2016.03.010
UR  - http://hdl.handle.net/10044/1/51744
VL  - 145
ER  -
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