TY - CHAP
T1 - Post-peak trend of upper stratospheric hydrogen chloride derived from ground-based FTIR solar spectra and model simulations
AU - Mahieu, Emmanuel
AU - Prignon, Maxime
AU - Servais, Christian
AU - Chabrillat, Simon
AU - Errera, Quentin
AU - Friedrich, Marina
AU - Smeekes, Stephan
AU - Froidevaux, Lucien
AU - Salawitch, Ross J.
AU - Wales, Pamela
AU - Notholt, Justus
AU - Chipperfield, Martyn P.
N1 - data source:
PY - 2019/4/1
Y1 - 2019/4/1
N2 - After several decades of sustained increase, hydrogen chloride (HCl, the
main reservoir for stratospheric chlorine) reached a maximum abundance
around 1997. Since then, its decrease has been documented, characterized
by short-term variability which was attributed to atmospheric
circulation changes, affecting mainly the lower stratosphere (Mahieu et
al., 2014). This notably led to a temporary increase of HCl over
2007-2011, complicating the determination of the long-term HCl trend and
the accurate verification of the success of the Montreal Protocol for
the protection of the stratospheric ozone layer. Studies have used other
long-lived tracers to remove the effects of dynamical variability in the
lower stratosphere (e.g., Stolarski et al., 2018), while other
investigations have suggested that trends in the upper stratosphere were
potentially more appropriate for the long-term characterization of the
HCl decrease (e.g., Froidevaux et al., 2015; Bernath and Fernando,
2018), especially when dealing with satellite height-resolved data.
In this contribution, we use FTIR (Fourier Transform InfraRed) data from
the Jungfraujoch station (Swiss Alps, 3580 m a.s.l.), a site of the
NDACC network (http://www.ndacc.org), to study the evolution of HCl in
some detail. The SFIT-4 retrieval algorithm implementing the Optimal
Estimation Method of Rodgers (2000) is employed, providing HCl columns
with good sensitivity from the tropopause up to about 40 km altitude.
Moreover, the vertical resolution is sufficient to determine independent
partial columns for the lower and upper stratosphere. With the
support of model simulations performed with the 3D-Chemistry Transport
Model of the Belgian Assimilation System for Chemical ObsErvations
(BASCOE; Chabrillat et al., 2018), driven by the ERA-Interim
meteorological reanalysis, we investigate the post-peak trend of HCl in
the lower and upper stratosphere. We also determine the magnitude of the
uncertainties affecting the various trends, using bootstrap tools which
are specifically developed to take into account the auto-correlation
present in our geophysical data sets. Acknowledgments This
research has been primarily supported by the F.R.S. - FNRS (Brussels),
under Grants T.0040.16 and J.0147.18. The vital supports from the
Fédération Wallonie Bruxelles and the Swiss GAW-CH
programme are further acknowledged. We thank the International
Foundation High Altitude Research Stations Jungfraujoch and Gornergrat
(HFSJG, Bern) for supporting the facilities needed to perform the
observations. We gratefully acknowledge support by the Deutsche
Forschungsgemeinschaft DFG within the SFB/Transregio 172 (AC)3.
References Bernath, P. and Fernando, A. M.: Trends in stratospheric
HCl from the ACE satellite mission, J. Quant. Spectrosc. Radiat.
Transf., 217, 126-129, doi:10.1016/j.jqsrt.2018.05.027, 2018.
Chabrillat, S., Vigouroux, C., Christophe, Y., et al.: Comparison of
mean age of air in five reanalyses using the BASCOE transport model,
Atmos. Chem. Phys., 18(19), 14715-14735, doi:10.5194/acp-18-14715-2018,
2018. Froidevaux, L., Anderson, J., Wang, H. J., et al.: Global OZone
Chemistry and Related trace gas Data records for the Stratosphere
(GOZCARDS): Methodology and sample results with a focus on HCl, H2O, and
O3, Atmos. Chem. Phys., 15(18), 10471-10507,
doi:10.5194/acp-15-10471-2015, 2015. Mahieu, E., Chipperfield, M. P.,
Notholt, J., et al.: Recent Northern Hemisphere stratospheric HCl
increase due to atmospheric circulation changes, Nature, 515(7525),
104-107, doi:10.1038/nature13857, 2014. Rodgers, C.D.: Inverse
methods for atmospheric sounding: theory and practice (Series on
atmospheric, oceanic and planetary physics), Vol. 2. Singapore, 2000.
Stolarski, R. S., Douglass, A. R. and Strahan, S. E.: Using satellite
measurements of N2O to remove dynamical variability from HCl
measurements, Atmos. Chem. Phys., 18(8), 5691-5697,
doi:10.5194/acp-18-5691-2018, 2018.
AB - After several decades of sustained increase, hydrogen chloride (HCl, the
main reservoir for stratospheric chlorine) reached a maximum abundance
around 1997. Since then, its decrease has been documented, characterized
by short-term variability which was attributed to atmospheric
circulation changes, affecting mainly the lower stratosphere (Mahieu et
al., 2014). This notably led to a temporary increase of HCl over
2007-2011, complicating the determination of the long-term HCl trend and
the accurate verification of the success of the Montreal Protocol for
the protection of the stratospheric ozone layer. Studies have used other
long-lived tracers to remove the effects of dynamical variability in the
lower stratosphere (e.g., Stolarski et al., 2018), while other
investigations have suggested that trends in the upper stratosphere were
potentially more appropriate for the long-term characterization of the
HCl decrease (e.g., Froidevaux et al., 2015; Bernath and Fernando,
2018), especially when dealing with satellite height-resolved data.
In this contribution, we use FTIR (Fourier Transform InfraRed) data from
the Jungfraujoch station (Swiss Alps, 3580 m a.s.l.), a site of the
NDACC network (http://www.ndacc.org), to study the evolution of HCl in
some detail. The SFIT-4 retrieval algorithm implementing the Optimal
Estimation Method of Rodgers (2000) is employed, providing HCl columns
with good sensitivity from the tropopause up to about 40 km altitude.
Moreover, the vertical resolution is sufficient to determine independent
partial columns for the lower and upper stratosphere. With the
support of model simulations performed with the 3D-Chemistry Transport
Model of the Belgian Assimilation System for Chemical ObsErvations
(BASCOE; Chabrillat et al., 2018), driven by the ERA-Interim
meteorological reanalysis, we investigate the post-peak trend of HCl in
the lower and upper stratosphere. We also determine the magnitude of the
uncertainties affecting the various trends, using bootstrap tools which
are specifically developed to take into account the auto-correlation
present in our geophysical data sets. Acknowledgments This
research has been primarily supported by the F.R.S. - FNRS (Brussels),
under Grants T.0040.16 and J.0147.18. The vital supports from the
Fédération Wallonie Bruxelles and the Swiss GAW-CH
programme are further acknowledged. We thank the International
Foundation High Altitude Research Stations Jungfraujoch and Gornergrat
(HFSJG, Bern) for supporting the facilities needed to perform the
observations. We gratefully acknowledge support by the Deutsche
Forschungsgemeinschaft DFG within the SFB/Transregio 172 (AC)3.
References Bernath, P. and Fernando, A. M.: Trends in stratospheric
HCl from the ACE satellite mission, J. Quant. Spectrosc. Radiat.
Transf., 217, 126-129, doi:10.1016/j.jqsrt.2018.05.027, 2018.
Chabrillat, S., Vigouroux, C., Christophe, Y., et al.: Comparison of
mean age of air in five reanalyses using the BASCOE transport model,
Atmos. Chem. Phys., 18(19), 14715-14735, doi:10.5194/acp-18-14715-2018,
2018. Froidevaux, L., Anderson, J., Wang, H. J., et al.: Global OZone
Chemistry and Related trace gas Data records for the Stratosphere
(GOZCARDS): Methodology and sample results with a focus on HCl, H2O, and
O3, Atmos. Chem. Phys., 15(18), 10471-10507,
doi:10.5194/acp-15-10471-2015, 2015. Mahieu, E., Chipperfield, M. P.,
Notholt, J., et al.: Recent Northern Hemisphere stratospheric HCl
increase due to atmospheric circulation changes, Nature, 515(7525),
104-107, doi:10.1038/nature13857, 2014. Rodgers, C.D.: Inverse
methods for atmospheric sounding: theory and practice (Series on
atmospheric, oceanic and planetary physics), Vol. 2. Singapore, 2000.
Stolarski, R. S., Douglass, A. R. and Strahan, S. E.: Using satellite
measurements of N2O to remove dynamical variability from HCl
measurements, Atmos. Chem. Phys., 18(8), 5691-5697,
doi:10.5194/acp-18-5691-2018, 2018.
M3 - Conference Abstract/Poster in proceeding
SP - 5857
BT - 21st EGU General Assembly, EGU2019, Proceedings from the conference held 7-12 April, 2019 in Vienna, Austria
ER -