Articles | Volume 20, issue 11
https://doi.org/10.5194/acp-20-6991-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-6991-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jun 2020
Research article |
| 12 Jun 2020
| 12 Jun 2020
Quantifying uncertainties of climate signals in chemistry climate models related to the 11-year solar cycle – Part 1: Annual mean response in heating rates, temperature, and ozone
Markus Kunze
CORRESPONDING AUTHOR
Institut für Meteorologie, Freie Universität Berlin, 12165 Berlin, Germany
Tim Kruschke
Swedish Meteorological and Hydrological Institute – Rossby Centre, Norrköping, Sweden
Ulrike Langematz
Institut für Meteorologie, Freie Universität Berlin, 12165 Berlin, Germany
Miriam Sinnhuber
Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
Thomas Reddmann
Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
Katja Matthes
Research Division Ocean Circulation and Climate,
GEOMAR Helmholtz Centre for Ocean Research, 24105 Kiel, Germany
Christian-Albrechts-Universität zu Kiel, 24105 Kiel, Germany
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Cited articles
Ball, W. T., Unruh, Y. C., Krivova, N., Solanki, S. K., and Harder, J. W.:
Solar irradiance variability : a six-year comparison between SORCE
observations and the SATIRE model, Astro. Astrophys., 530, A71,
https://doi.org/10.1051/0004-6361/201016189, 2011. a
Ball, W. T., Krivova, N. A., Unruh, Y. C., Haigh, J. D., and Solanki, S. K.: A
New SATIRE-S Spectral Solar Irradiance Reconstruction for Solar Cycles 21–23
and Its Implications for Stratospheric Ozone, J. Atmos. Sci., 71,
4086–4101, https://doi.org/10.1175/JAS-D-13-0241.1, 2014. a
Ball, W. T., Haigh, J. D., Rozanov, E. V., Kuchar, A., Sukhodolov, T., Tummon,
F., Shapiro, A. V., and Schmutz, W.: High solar cycle spectral variations
inconsistent with stratospheric ozone observations, Nat. Geosci., 9,
206–209, https://doi.org/10.1038/ngeo2640, 2016. a
Ball, W. T., Alsing, J., Staehelin, J., Davis, S. M., Froidevaux, L., and Peter, T.: Stratospheric ozone trends for 1985–2018: sensitivity to recent large variability, Atmos. Chem. Phys., 19, 12731–12748, https://doi.org/10.5194/acp-19-12731-2019, 2019. a
Beig, G., Fadnavis, S., Schmidt, H., and Brasseur, G. P.: Inter-comparison of
11-year solar cycle response in mesospheric ozone and temperature obtained by
HALOE satellite data and HAMMONIA model, J. Geophys. Res.-Atmos., 117, D00P10,
https://doi.org/10.1029/2011JD015697, 2012. a
Coddington, O., Lean, J. L., Pilewskie, P., Snow, M., and Lindholm, D.: A
Solar Irradiance Climate Data Record, B. Am. Meteorol. Soc., 97,
1265–1282, https://doi.org/10.1175/BAMS-D-14-00265.1, 2016. a, b, c
Coddington, O., Lean, J., Pilewskie, P., Snow, M., Richard, E., Kopp, G.,
Lindholm, C., DeLand, M., Marchenko, S., Haberreiter, M., and Baranyi, T.:
Solar Irradiance Variability: Comparisons of Models and Measurements, Earth
Space Sci., 34, 2019EA000693, https://doi.org/10.1029/2019EA000693, 2019. a
Collins, W. D.: A global signature of enhanced shortwave absorption by
clouds, J. Geophys. Res.-Atmos., 103, 31669–31679,
https://doi.org/10.1029/1998JD200022, 1998. a
Dietmüller, S., Jöckel, P., Tost, H., Kunze, M., Gellhorn, C., Brinkop, S., Frömming, C., Ponater, M., Steil, B., Lauer, A., and Hendricks, J.: A new radiation infrastructure for the Modular Earth Submodel System (MESSy, based on version 2.51), Geosci. Model Dev., 9, 2209–2222, https://doi.org/10.5194/gmd-9-2209-2016, 2016. a
Ermolli, I., Matthes, K., Dudok de Wit, T., Krivova, N. A., Tourpali, K.,
Weber, M., Unruh, Y. C., Gray, L., Langematz, U., Pilewskie, P., Rozanov, E.,
Schmutz, W., Shapiro, A., Solanki, S. K., and Woods, T. N.: Recent
variability of the solar spectral irradiance and its impact on climate
modelling, Atmos. Chem. Phys., 13, 3945–3977,
https://doi.org/10.5194/acp-13-3945-2013, 2013. a, b, c, d
Evin, G., Hingray, B., Blanchet, J., Eckert, N., Morin, S., and Verfaillie, D.:
Partitioning Uncertainty Components of an Incomplete Ensemble of Climate
Projections Using Data Augmentation, J. Climate, 32, 2423–2440,
https://doi.org/10.1175/JCLI-D-18-0606.1, 2019. a
Farman, J. C., Gardiner, B. G., and Shanklin, J. D.: Large losses of total
ozone in Antarctica reveal seasonal ClOx/NOx interaction, Nature, 315,
207–210, https://doi.org/10.1038/315207a0, 1985. a
Forster, P. M., Fomichev, V. I., Rozanov, E., Cagnazzo, C., Jonsson, A. I.,
Langematz, U., Fomin, B., Iacono, M. J., Mayer, B., Mlawer, E., Myhre, G.,
Portmann, R. W., Akiyoshi, H., Falaleeva, V., Gillett, N., Karpechko, A., Li,
J., Lemennais, P., Morgenstern, O., Oberländer, S., Sigmond, M., and
Shibata, K.: Evaluation of radiation scheme performance within chemistry
climate models, J. Geophys. Res.-Atmos., 116, D10302, https://doi.org/10.1029/2010JD015361,
2011. a
Fouquart, Y. and Bonnel, B.: Computations of solar heating of the Earth's
atmosphere: A new parameterization, Beitr. Phys. Atmos., 53, 35–62, 1980. a
Frame, T. and Gray, L. J.: The 11-yr solar cycle in ERA-40 data: An update to
2008, J. Climate, 23, 2213–2222, https://doi.org/10.1175/2009JCLI3150.1, 2010. a
Funke, B., López-Puertas, M., Stiller, G. P., Versick, S., and von Clarmann, T.: A semi-empirical model for mesospheric and stratospheric NOy produced by energetic particle precipitation, Atmos. Chem. Phys., 16, 8667–8693, https://doi.org/10.5194/acp-16-8667-2016, 2016. a
Garcia, R. R., Solomon, S., Roble, R. G., and Rusch, D. W.: A numerical
response of the middle atmosphere to the 11-year solar cycle, Planet. Space
Sci., 32, 411–423, https://doi.org/10.1016/0032-0633(84)90121-1, 1984. a, b
Garcia, R. R., Smith, A. K., Kinnison, D. E., de la Cámara, Á., and
Murphy, D. J.: Modification of the Gravity Wave Parameterization in the
Whole Atmosphere Community Climate Model: Motivation and Results, J. Atmos.
Sci., 74, 275–291, https://doi.org/10.1175/JAS-D-16-0104.1, 2017. a
Geinitz, S., Furrer, R., and Sain, S. R.: Bayesian multilevel analysis of
variance for relative comparison across sources of global climate model
variability, Int. J. Climatol., 35, 433–443,
https://doi.org/10.1002/joc.3991, 2015. a
Giorgetta, M. A. and Bengtsson, L.: Potential role of the quasi-biennial
oscillation in the stratosphere-troposphere exchange as found in water vapor
in general circulation model experiments, J. Geophys. Res.-Atmos., 104,
6003–6019, https://doi.org/10.1029/1998JD200112, 1999. a
Gray, L. J., Beer, J., Geller, M., Haigh, J. D., Lockwood, M., Matthes, K.,
Cubasch, U., Fleitmann, D., Harrison, G., Hood, L., Luterbacher, J., Meehl,
G. A., Shindell, D., van Geel, B., and White, W.: Solar influences on
climate, Rev. Geophys., 48, RG4001, https://doi.org/10.1029/2009RG000282, 2010. a
Gray, L. J., Scaife, A. A., Mitchell, D. M., Osprey, S., Ineson, S., Hardiman,
S., Butchart, N., Knight, J., Sutton, R., and Kodera, K.: A lagged response
to the 11 year solar cycle in observed winter Atlantic/European weather
patterns, J. Geophys. Res.-Atmos., 118, 13405–13420,
https://doi.org/10.1002/2013JD020062, 2013. a
Haberreiter, M., Schöll, M., Dudok de Wit, T., Kretzschmar, M., Misios,
S., Tourpali, K., and Schmutz, W.: A new observational solar irradiance
composite, J. Geophys. Res.-Space, 122, 5910–5930,
https://doi.org/10.1002/2016JA023492, 2017. a
Haigh, J. D.: The role of stratospheric ozone in modulating the solar
radiative forcing of climate, Nature, 370, 544–546, https://doi.org/10.1038/370544a0,
1994. a, b
Haigh, J. D., Winning, A. R., Toumi, R., and Harder, J. W.: An influence of
solar spectral variations on radiative forcing of climate, Nature, 467,
696–699, https://doi.org/10.1038/nature09426, 2010. a
Hersbach, H., De Rosnay, P., Bell, B., Schepers, D., Simmons, A., Soci, C.,
Abdalla, S., Balmaseda, A., Balsamo, G., Bechtold, P., Berrisford, P.,
Bidlot, J., De Boisséson, E., Bonavita, M., Browne, P., Buizza, R.,
Dahlgren, P., Dee, D., Dragani, R., Diamantakis, M., Flemming, J., Forbes,
R., Geer, A., Haiden, T., Hólm, E., Haimberger, L., Hogan, R.,
Horányi, A., Janisková, M., Laloyaux, P., Lopez, P.,
Muñoz-Sabater, J., Peubey, C., Radu, R., Richardson, D., Thépaut,
J.-N., Vitart, F., Yang, X., Zsótér, E., and Zuo, H.:
Operational global reanalysis: progress, future directions and synergies
with NWP including updates on the ERA5 production status, Tech. Rep. 8th
October, ECWWF, https://doi.org/10.21957/tkic6g3wm, 2018. a
Hood, L. L.: The solar cycle variation of total ozone: Dynamical forcing in
the lower stratosphere, J. Geophys. Res.-Atmos., 102, 1355–1370,
https://doi.org/10.1029/96JD00210, 1997. a, b, c
Hood, L. L. and Soukharev, B. E.: Solar induced variations of odd nitrogen:
Multiple regression analysis of UARS HALOE data, Geophys. Res. Lett., 33,
101029, https://doi.org/10.1029/2006GL028122, 2006. a
Hood, L. L., Misios, S., Mitchell, D. M., Rozanov, E., Gray, L. J., Tourpali,
K., Matthes, K., Schmidt, H., Chiodo, G., Thiéblemont, R., Shindell, D.,
and Krivolutsky, A.: Solar signals in CMIP-5 simulations: the ozone
response, Q. J. Roy. Meteorol. Soc., 141, 2670–2689, https://doi.org/10.1002/qj.2553,
2015. a, b
Hurrell, J. W., Holland, M. M., Gent, P. R., Ghan, S., Kay, J. E., Kushner,
P. J., Lamarque, J.-F., Large, W. G., Lawrence, D., Lindsay, K., Lipscomb,
W. H., Long, M. C., Mahowald, N., Marsh, D. R., Neale, R. B., Rasch, P.,
Vavrus, S., Vertenstein, M., Bader, D., Collins, W. D., Hack, J. J., Kiehl,
J., and Marshall, S.: The Community Earth System Model: A Framework for
Collaborative Research, B. Am. Meteorol. Soc., 94, 1339–1360,
https://doi.org/10.1175/BAMS-D-12-00121.1, 2013. a
Jöckel, P., Kerkweg, A., Pozzer, A., Sander, R., Tost, H., Riede, H., Baumgaertner, A., Gromov, S., and Kern, B.: Development cycle 2 of the Modular Earth Submodel System (MESSy2), Geosci. Model Dev., 3, 717–752, https://doi.org/10.5194/gmd-3-717-2010, 2010. a
Jöckel, P., Tost, H., Pozzer, A., Kunze, M., Kirner, O., Brenninkmeijer, C. A. M., Brinkop, S., Cai, D. S., Dyroff, C., Eckstein, J., Frank, F., Garny, H., Gottschaldt, K.-D., Graf, P., Grewe, V., Kerkweg, A., Kern, B., Matthes, S., Mertens, M., Meul, S., Neumaier, M., Nützel, M., Oberländer-Hayn, S., Ruhnke, R., Runde, T., Sander, R., Scharffe, D., and Zahn, A.: Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51, Geosci. Model Dev., 9, 1153–1200, https://doi.org/10.5194/gmd-9-1153-2016, 2016. a, b, c
Kinnison, D. E., Brasseur, G. P., Walters, S., Garcia, R. R., Marsh, D. R.,
Sassi, F., Harvey, V. L., Randall, C. E., Emmons, L., Lamarque, J. F., Hess,
P., Orlando, J. J., Tie, X. X., Randel, W., Pan, L. L., Gettelman, A.,
Granier, C., Diehl, T., Niemeier, U., and Simmons, A. J.: Sensitivity of
chemical tracers to meteorological parameters in the MOZART-3 chemical
transport model, J. Geophys. Res.-Atmos., 112, 1–24,
https://doi.org/10.1029/2006JD007879, 2007. a
Kodera, K. and Kuroda, Y.: Dynamical response to the solar cycle, J. Geophys.
Res., 107, 4749, https://doi.org/10.1029/2002JD002224, 2002. a
Kopp, G. and Lean, J. L.: A new, lower value of total solar irradiance:
Evidence and climate significance, Geophys. Res. Lett., 38,
L01706, https://doi.org/10.1029/2010GL045777, 2011. a, b
Koppers, G. A. A. and Murtagh, D. P.: Model studies of the influence of O2
photodissociation parameterizations in the Schumann-Runge bands on ozone
related photolysis in the upper atmosphere, Ann. Geophys., 14, 68–79,
https://doi.org/10.1007/s00585-996-0068-9, 1996. a
Krivova, N. A., Solanki, S. K., Wenzler, T., and Podlipnik, B.: Reconstruction
of solar UV irradiance since 1974, J. Geophys. Res., 114, D00I04,
https://doi.org/10.1029/2009JD012375, 2009. a, b
Krivova, N. A., Vieira, L. E. A., and Solanki, S. K.: Reconstruction of solar
spectral irradiance since the Maunder minimum, J. Geophys. Res.-Space
115, A12112, https://doi.org/10.1029/2010JA015431, 2010. a, b
Kruschke, T., Kunze, M., Matthes, K., Langematz, U., Sinnhuber, M., Reddmann, T., Versick, S., and Funke, B.: Quantifying uncertainties of climate signals related to the 11 year solar cycle – Part II: Dynamical impacts of irradiance and auroral forcing, in preparation, 2020. a
Kunze, M., Godolt, M., Langematz, U., Grenfell, J., Hamann-Reinus, A., and
Rauer, H.: Investigating the early Earth faint young Sun problem with a
general circulation model, Planet. Space Sci., 98, 77–92,
https://doi.org/10.1016/j.pss.2013.09.011, 2014. a
Labitzke, K.: Sunspots, the QBO, and the stratospheric temperature in the
north polar region, Geophys. Res. Lett., 14, 535–537, 1987. a
Labitzke, K. and van Loon, H.: Associations between the 11-year solar cycle,
the QBO and the atmosphere. Part I: The troposphere and stratosphere in the
northern hemisphere winter, J. Atmos. Sol.-Terr. Phys., 50, 197–206,
1988. a
Lean, J., Rottman, G., Kyle, H. L., Woods, T., Hickey, J., and Puga, L.:
Detection and parameterization of variations in solar mid- and
near-ultraviolet radiation, J. Geophys. Res., 102, 29939–29956,
https://doi.org/10.1029/97JD02092, 1997. a
Lean, J. L.: Evolution of the Sun's spectral irradiance since the Maunder
Minimum, Geophys. Res. Lett., 27, 2425–2428, https://doi.org/10.1029/2000GL000043,
2000. a, b, c
Lean, J. L., Cook, J., Marquette, W., and Johannesson, A.: Magnetic Sources of
the Solar Irradiance Cycle, Astrophys. J., 492, 390–401,
https://doi.org/10.1086/305015,
1998. a
Manney, G. L., Santee, M. L., Rex, M., Livesey, N. J., Pitts, M. C., Veefkind,
P., Nash, E. R., Wohltmann, I., Lehmann, R., Froidevaux, L., Poole, L. R.,
Schoeberl, M. R., Haffner, D. P., Davies, J., Dorokhov, V., Gernandt, H.,
Johnson, B., Kivi, R., Kyrö, E., Larsen, N., Levelt, P. F., Makshtas,
A., McElroy, C. T., Nakajima, H., Parrondo, M. C., Tarasick, D. W., von der
Gathen, P., Walker, K. A., and Zinoviev, N. S.: Unprecedented Arctic ozone
loss in 2011, Nature, 478, 469–475, https://doi.org/10.1038/nature10556, 2011. a
Marsh, D. R., Solomon, S. C., and Reynolds, A. E.: Empirical model of nitric
oxide in the lower thermosphere, J. Geophys. Res.-Space, 109, A07301, https://doi.org/10.1029/2003JA010199, 2004. a
Marsh, D. R., Garcia, R. R., Kinnison, D. E., Boville, B. A., Sassi, F.,
Solomon, S. C., and Matthes, K.: Modeling the whole atmosphere response to
solar cycle changes in radiative and geomagnetic forcing, J.
Geophys. Res., 112, D23306, https://doi.org/10.1029/2006JD008306, 2007. a
Marsh, D. R., Mills, M. J., Kinnison, D. E., Lamarque, J.-F., Calvo, N., and
Polvani, L. M.: Climate Change from 1850 to 2005 Simulated in CESM1(WACCM),
J. Climate, 26, 7372–7391, https://doi.org/10.1175/JCLI-D-12-00558.1, 2013. a, b
Matthes, K., Langematz, U., Gray, L. L., Kodera, K., and Labitzke, K.:
Improved 11-year solar signal in the Freie Universität Berlin Climate
Middle Atmosphere Model (FUB-CMAM), J. Geophys. Res.-Atmos., 109, D06101,
https://doi.org/10.1029/2003JD004012, 2004. a
Matthes, K., Marsh, D. R., Garcia, R. R., Kinnison, D. E., Sassi, F., and
Walters, S.: Role of the QBO in modulating the influence of the 11 year
solar cycle on the atmosphere using constant forcings, J. Geophys. Res.-Atmos., 115, d18110, https://doi.org/10.1029/2009JD013020, 2010. a
Matthes, K., Funke, B., Andersson, M. E., Barnard, L., Beer, J., Charbonneau, P., Clilverd, M. A., Dudok de Wit, T., Haberreiter, M., Hendry, A., Jackman, C. H., Kretzschmar, M., Kruschke, T., Kunze, M., Langematz, U., Marsh, D. R., Maycock, A. C., Misios, S., Rodger, C. J., Scaife, A. A., Seppälä, A., Shangguan, M., Sinnhuber, M., Tourpali, K., Usoskin, I., van de Kamp, M., Verronen, P. T., and Versick, S.: Solar forcing for CMIP6 (v3.2), Geosci. Model Dev., 10, 2247–2302, https://doi.org/10.5194/gmd-10-2247-2017, 2017. a, b, c, d
Maycock, A. C., Matthes, K., Tegtmeier, S., Thiéblemont, R., and Hood, L.: The representation of solar cycle signals in stratospheric ozone – Part 1: A comparison of recently updated satellite observations, Atmos. Chem. Phys., 16, 10021–10043, https://doi.org/10.5194/acp-16-10021-2016, 2016. a
McCormack, J. P. and Hood, L. L.: Apparent solar cycle variations of upper
stratospheric ozone and temperature: Latitude and seasonal dependences, J.
Geophys. Res.-Atmos., 101, 20933–20944, https://doi.org/10.1029/96JD01817, 1996. a
Meehl, G. A., Arblaster, J. M., Matthes, K., Sassi, F., and van Loon, H.:
Amplifying the Pacific Climate System Response to a Small 11-Year Solar
Cycle Forcing, Science, 325, 1114–1118, https://doi.org/10.1126/science.1172872,
2009. a
Meftah, M., Damé, L., Bolsée, D., Hauchecorne, A., Pereira, N.,
Sluse, D., Cessateur, G., Irbah, A., Bureau, J., Weber, M., Bramstedt, K.,
Hilbig, T., Thiéblemont, R., Marchand, M., Lefèvre, F.,
Sarkissian, A., and Bekki, S.: SOLAR-ISS: A new reference spectrum based on
SOLAR/SOLSPEC observations, Astron. Astrophys., 611, A1,
https://doi.org/10.1051/0004-6361/201731316, 2018. a, b
Meftah, M., Damé, L., Bolsée, D., Pereira, N., Snow, M., Weber, M.,
Bramstedt, K., Hilbig, T., Cessateur, G., Boudjella, M.-Y., Marchand, M.,
Lefèvre, F., Thiéblemont, R., Sarkissian, A., Hauchecorne, A.,
Keckhut, P., and Bekki, S.: A New Version of the SOLAR-ISS Spectrum Covering
the 165–3000 nm Spectral Region, Solar Phys., 295, 14,
https://doi.org/10.1007/s11207-019-1571-y, 2020. a, b
Merkel, A., Harder, J. W., Marsh, D. R., Smith, A. K., Fontenla, J. M., and
Woods, T. N.: The impact of solar spectral irradiance variability on middle
atmospheric ozone, Geophys. Res. Lett., 38, 1–6,
https://doi.org/10.1029/2011GL047561, 2011. a, b
Minschwaner, K. and Siskind, D. E.: A new calculation of nitric oxide
photolysis in the stratosphere, mesosphere, and lower thermosphere, J.
Geophys. Res.-Atmos., 98, 20401, https://doi.org/10.1029/93JD02007, 1993. a
Misios, S., Mitchell, D. M., Gray, L. J., Tourpali, K., Matthes, K., Hood, L.,
Schmidt, H., Chiodo, G., Thiéblemont, R., Rozanov, E., and Krivolutsky,
A.: Solar signals in CMIP-5 Simulations: Effects of Atmosphere–ocean
Coupling, Q. J. Roy. Meteor. Soc., 142, 928–941, https://doi.org/10.1002/qj.2695, 2015. a
Mitchell, D. M., Misios, S., Gray, L. J., Tourpali, K., Matthes, K., Hood, L.,
Schmidt, H., Chiodo, G., Thiéblemont, R., Rozanov, E., Shindell, D., and
Krivolutsky, A.: Solar signals in CMIP-5 simulations: the stratospheric
pathway, Q. J. Roy. Meteor. Soc., 141, 2390–2403, https://doi.org/10.1002/qj.2530,
2015. a, b
Naujokat, B.: An update of the observed Quasi-Biennial Oscillation of the
stratospheric winds over the tropics, J. Atmos. Sci., 43, 1873–1877, 1986. a
Neale, R. B., Richter, J., Park, S., Lauritzen, P. H., Vavrus, S. J., Rasch,
P. J., and Zhang, M.: The Mean Climate of the Community Atmosphere Model
(CAM4) in Forced SST and Fully Coupled Experiments, J. Climate, 26,
5150–5168, https://doi.org/10.1175/JCLI-D-12-00236.1, 2013. a
Nissen, K. M., Matthes, K., Langematz, U., and Mayer, B.: Towards a better representation of the solar cycle in general circulation models, Atmos. Chem. Phys., 7, 5391–5400, https://doi.org/10.5194/acp-7-5391-2007, 2007. a, b
Oberländer, S., Langematz, U., Matthes, K., Kunze, M., Kubin, A., Harder, J.,
Krivova, N. A., Solanki, S. K., Pagaran, J., and Weber, M.: The influence of
spectral solar irradiance data on stratospheric heating rates during the 11
year solar cycle, Geophys. Res. Lett., 39, L01801, https://doi.org/10.1029/2011GL049539,
2012. a
Randel, W., Smith, K., Austin, J., Barnett, J., Claud, C., Gillett, N.,
Keckhut, P., Langematz, U., Lin, R., Long, C., Mearsm, C., Miller, A., Nash,
J., Seidel, D., Thompson, D., Wu, F., and Yoden, S.: An update of
stratospheric temperature trends, J. Geophys. Res., 114, D02107,
https://doi.org/10.1029/2005JD006744, 2009. a
Randel, W. J. and Wu, F.: A stratospheric ozone profile data set for
1979–2005: Variability, trends, and comparisons with column ozone data, J.
Geophys. Res., 112, D06313, https://doi.org/10.1029/2006JD007339, 2007. a, b
Remsberg, E., Russell, J. M., Gordley, L. L., Gille, J. C., and Bailey, P. L.:
Implications of the Stratospheric Water Vapor Distribution as Determined
from the Nimbus 7 LIMS Experiment, J. Atmos. Sci., 41, 2934–2948,
https://doi.org/10.1175/1520-0469(1984)041<2934:IOTSWV>2.0.CO;2, 1984. a
Remsberg, E., Damadeo, R., Natarajan, M., and Bhatt, P.: Observed Responses of
Mesospheric Water Vapor to Solar Cycle and Dynamical Forcings, J. Geophys.
Res.-Atmos., 123, 3830–3843, https://doi.org/10.1002/2017JD028029, 2018. a
Rex, M., Salawitch, R. J., Harris, N. R. P., von der Gathen, P., Braathen,
G. O., Schulz, A., Deckelmann, H., Chipperfield, M., Sinnhuber, B.-M.,
Reimer, E., Alfier, R., Bevilacqua, R., Hoppel, K., Fromm, M., Lumpe, J.,
Küllmann, H., Kleinböhl, A., Bremer, H., von König, M.,
Künzi, K., Toohey, D., Vömel, H., Richard, E., Aikin, K., Jost,
H., Greenblatt, J. B., Loewenstein, M., Podolske, J. R., Webster, C. R.,
Flesch, G. J., Scott, D. C., Herman, R. L., Elkins, J. W., Ray, E. A., Moore,
F. L., Hurst, D. F., Romashkin, P., Toon, G. C., Sen, B., Margitan, J. J.,
Wennberg, P., Neuber, R., Allart, M., Bojkov, B. R., Claude, H., Davies, J.,
Davies, W., De Backer, H., Dier, H., Dorokhov, V., Fast, H., Kondo, Y.,
Kyrö, E., Litynska, Z., Mikkelsen, I. S., Molyneux, M. J., Moran, E.,
Nagai, T., Nakane, H., Parrondo, C., Ravegnani, F., Skrivankova, P., Viatte,
P., and Yushkov, V.: Chemical depletion of Arctic ozone in winter
1999/2000, J. Geophys. Res., 107, 8276, https://doi.org/10.1029/2001JD000533, 2002. a
Roble, R. G. and Ridley, E. C.: An auroral model for the NCAR thermosphere
general circulation model (TGCM), Ann. Geophys., 6, 369–383, 1987. a
Roeckner, E., Bäuml, G., Bonaventura, L., Brokopf, R., Esch, M., Giorgetta,
Hagemann, S., Kirchner, I., Kornblueh, L., Manzini, E., Rhodin, A., Schlese,
U., Schulzweida, U., and Tompkins, A.: The atmospheric general circulation
model ECHAM5, Part I, Tech. Rep. No. 349, Max-Planck-Institut für
Meteorologie, Hamburg, 2003. a
Roeckner, E., Brokopf, R., Esch, M., Giorgetta, M., Hagemann, S., Kornblueh,
L., Manzini, E., Schlese, U., and Schulzweida, U.: Sensitivity of Simulated
Climate to Horizontal and Vertical Resolution in the ECHAM5 Atmosphere
Model, J. Climate, 19, 3771–3791, https://doi.org/10.1175/JCLI3824.1, 2006. a
Sander, R., Baumgaertner, A., Gromov, S., Harder, H., Jöckel, P., Kerkweg, A., Kubistin, D., Regelin, E., Riede, H., Sandu, A., Taraborrelli, D., Tost, H., and Xie, Z.-Q.: The atmospheric chemistry box model CAABA/MECCA-3.0, Geosci. Model Dev., 4, 373–380, https://doi.org/10.5194/gmd-4-373-2011, 2011. a
Sander, R., Jöckel, P., Kirner, O., Kunert, A. T., Landgraf, J., and Pozzer, A.: The photolysis module JVAL-14, compatible with the MESSy standard, and the JVal PreProcessor (JVPP), Geosci. Model Dev., 7, 2653–2662, https://doi.org/10.5194/gmd-7-2653-2014, 2014. a
Sander, S. P., Abbatt, J., Barker, J. R., Burkholder, J. B., Friedl, R. R.,
Golden, D. M., Huie, R. E., Kolb, C. E., Kurylo, M. J., Moortgat, G. K.,
Orkin, V. L., and Wine, P. H.: Chemical Kinetics and Photochemical Data for
Use in Atmospheric Studies, Tech. Rep. Evaluation No. 17, JPL Publication
10-6, Jet Propulsion Laboratory, Pasadena, 2011. a
Schieferdecker, T., Lossow, S., Stiller, G. P., and von Clarmann, T.: Is there a solar signal in lower stratospheric water vapour?, Atmos. Chem. Phys., 15, 9851–9863, https://doi.org/10.5194/acp-15-9851-2015, 2015. a
Seinfeld, J. and Pandis, S.: Atmospheric Chemistry and Physics: From Air
Pollution to Climate Change, John Wiley & Sons Inc., Hoboken, New Jersey,
USA, 2nd Edn., 2006. a
Shapiro, A. V., Rozanov, E., Egorova, T., Shapiro, A. I., Peter, T., and
Schmutz, W.: Sensitivity of the Earth's middle atmosphere to short-term
solar variability and its dependence on the choice of solar irradiance data
set, J. Atmos. Sol.-Terr. Phys., 73, 348–355,
https://doi.org/10.1016/j.jastp.2010.02.011, 2011. a
Sinnhuber, M. and Funke, B.: Energetic electron precipitation into the
atmosphere, in: The Dynamic Loss of Earth's Radiation Belts, pp. 279–321,
Elsevier, https://doi.org/10.1016/B978-0-12-813371-2.00009-3, 2020. a
Sinnhuber, M., Berger, U., Funke, B., Nieder, H., Reddmann, T., Stiller, G., Versick, S., von Clarmann, T., and Wissing, J. M.: NOy production, ozone loss and changes in net radiative heating due to energetic particle precipitation in 2002–2010, Atmos. Chem. Phys., 18, 1115–1147, https://doi.org/10.5194/acp-18-1115-2018, 2018. a
Snow, M., Weber, M., Machol, J., Viereck, R., and Richard, E.: Comparison of
Magnesium II core-to-wing ratio observations during solar minimum 23/24,
J. Space Weather Spac., 4, A04,
https://doi.org/10.1051/swsc/2014001, 2014. a
Solanki, S. K., Schüssler, M., and Fligge, M.: Evolution of the Sun's
large-scale magnetic field since the Maunder minimum, Nature, 408, 445–447,
https://doi.org/10.1038/35044027, 2000. a
Solomon, S. C. and Qian, L.: Solar extreme-ultraviolet irradiance for general
circulation models, J. Geophys. Res., 110, A10306,
https://doi.org/10.1029/2005JA011160, 2005. a
Soukharev, B. E. and Hood, L. L.: Solar cycle variation of stratospheric
ozone: Multiple regression analysis of long-term satellite data sets and
comparisons with models, J. Geophys. Res.-Atmos., 111, 1–18,
https://doi.org/10.1029/2006JD007107, 2006. a, b
Sukhodolov, T., Rozanov, E., Ball, W. T., Bais, A., Tourpali, K., Shapiro,
A. I., Telford, P., Smyshlyaev, S., Fomin, B., Sander, R., Bossay, S., Bekki,
S., Marchand, M., Chipperfield, M. P., Dhomse, S., Haigh, J. D., Peter, T.,
and Schmutz, W.: Evaluation of simulated photolysis rates and their response
to solar irradiance variability, J. Geophys. Res.-Atmos., 121, 6066–6084,
https://doi.org/10.1002/2015JD024277, 2016. a
Swartz, W. H., Stolarski, R. S., Oman, L. D., Fleming, E. L., and Jackman, C. H.: Middle atmosphere response to different descriptions of the 11-yr solar cycle in spectral irradiance in a chemistry-climate model, Atmos. Chem. Phys., 12, 5937–5948, https://doi.org/10.5194/acp-12-5937-2012, 2012. a
Thuillier, G., Hersé, M., Simon, P. C., Labs, D., Mandel, H., Gillotay,
D., and Foujols, T.: The Visible Solar Spectral Irradiance from 350 to 850
nm As Measured by the SOLSPEC Spectrometer During the ATLAS I Mission, Sol.
Phys., 177, 41–61, https://doi.org/10.1023/A:1004953215589, 1998. a
Thuillier, G., Floyd, L., Woods, T., Cebula, R., Hilsenrath, E., Hersé, M.,
and Labs, D.: Solar irradiance reference spectra for two solar active levels,
Adv. Space Res., 34, 256–261, https://doi.org/10.1016/j.asr.2002.12.004, 2004.
a, b, c
Unruh, Y. C., Solanki, S. K., and Fligge, M.: The spectral dependence of
facular contrast and solar irradiance variations, Astron. Astrophys., 345,
635–642, 1999. a
van Loon, H., Meehl, G. A., and Shea, D. J.: Coupled air-sea response to solar
forcing in the Pacific region during northern winter, J. Geophys. Res.-Atmos., 112, 1–8, https://doi.org/10.1029/2006JD007378, 2007. a
von Storch, H. and Zwiers, F. W.: Statistical Analysis in Climate Research,
Cambridge University Press, https://doi.org/10.1017/CBO9780511612336, 1999. a, b
Wang, Y., Lean, J. L., and Sheeley Jr., N. R.: Modeling the Sun's Magnetic
Field and Irradiance since 1713, Astrophys. J., 625, 522–538,
https://doi.org/10.1086/429689, 2005. a
Yeo, K. L., Krivova, N. A., Solanki, S. K., and Glassmeier, K. H.:
Reconstruction of total and spectral solar irradiance from 1974 to 2013
based on KPVT, SoHO/MDI, and SDO/HMI observations, Astron. Astrophys., 570, A85,
https://doi.org/10.1051/0004-6361/201423628, 2014. a, b, c
Yeo, K. L., Ball, W. T., Krivova, N. A., Solanki, S. K., Unruh, Y. C., and
Morrill, J.: UV solar irradiance in observations and the NRLSSI and SATIRE-S
models, J. Geophys. Res.-Space, 120, 6055–6070, 2015JA021277, https://doi.org/10.1002/2015JA021277,
2015. a, b
Zerefos, C. S., Tourpali, K., Bojkov, B. R., Balis, D. S., Rognerund, B., and
Isaksen, I. S. A.: Solar activity-total column ozone relationships:
Observations and model studies with heterogeneous chemistry, J. Geophys.
Res.-Atmos., 102, 1561–1569, https://doi.org/10.1029/96JD02395, 1997. a
Zhong, W., Osprey, S. M., Gray, L. J., and Haigh, J. D.: Influence of the
prescribed solar spectrum on calculations of atmospheric temperature,
Geophys. Res. Lett., 35, L22813, https://doi.org/10.1029/2008GL035993, 2008. a
Short summary
Modelling the response of the atmosphere and its constituents to 11-year solar variations is subject to a certain uncertainty arising from the solar irradiance data set used in the chemistry–climate model (CCM) and the applied CCM itself.
This study reveals significant influences from both sources on the variations in the solar response in the stratosphere and mesosphere.
However, there are also regions where the random, unexplained part of the variations in the solar response is largest.
Modelling the response of the atmosphere and its constituents to 11-year solar variations is...
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