Abstract
A climatology of the stratosphere is determined from a 20-year integration with the stratospheric version of the Atmospheric General Circulation Model LMDz. The model has an upper boundary at near 65 km, uses a Doppler spread non-orographic gravity waves drag parameterization and a subgrid-scale orography parameterization. It also has a Rayleigh damping layer for resolved waves only (not the zonal mean flow) over the top 5 km. This paper describes the basic features of the model and some aspects of its radiative-dynamical climatology. Standard first order diagnostics are presented but some emphasis is given to the model’s ability to reproduce the low frequency variability of the stratosphere in the winter northern hemisphere. In this model, the stratospheric variability is dominated at each altitudes by patterns which have some similarities with the arctic oscillation (AO). For those patterns, the signal sometimes descends from the stratosphere to the troposphere. In an experiment where the parameterized orographic gravity waves that reach the stratosphere are exaggerated, the model stratosphere in the NH presents much less variability. Although the stratospheric variability is still dominated by patterns that resemble to the AO, the downward influence of the stratosphere along these patterns is near entirely lost. In the same time, the persistence of the surface AO decreases, which is consistent with the picture that this persistence is linked to the descent of the AO signal from the stratosphere to the troposphere. A comparison between the stratospheric version of the model, and its routinely used tropospheric version is also done. It shows that the introduction of the stratosphere in a model that already has a realistic AO persistence can lead to overestimate the actual influence of the stratospheric dynamics onto the surface AO. Although this result is certainly model dependent, it suggests that the introduction of the stratosphere in a GCM also call for a new adjustment of the model parameters that affect the tropospheric variability.
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References
Andrews DG, Holton JR, Leovy CB (1987) Middle atmosphere dynamics. Academic Press, 489pp
Baldwin MP, Dunkerton TJ (1999) Propagation of the arctic oscillation from the stratosphere to the troposphere. J Geophys Res 104: 30,937–30,946
Beagley SR, de Grandpré J, Koshyk JN, McFarlane NA, Shepherd TG (1997) Radiative dynamical climatology of the first generation Canadian middle atmosphere model. Atmosphere-Ocean 35:293–331
Blackmon ML (1976) A climatological study of the 500 mb geopotential height of the northern hemisphere. J Atmos Sci 33:1607–1623
Bony S, Dufresne J-L, LeTreut H, Morcrette J-J, Senior C (2004) On dynamic and thermodynamic components of cloud changes. Clim Dynam 22:71–86
Boville BA (1984) The influence of the polar night jet on the tropospheric circulation in a GCM. J Atmos Sci 41:1132–1142
Boville BA (1995) Middle atmosphere version of CCM2 (MACCM2): annual cycle and interannual variability. J Geophys Res 100:9017–9039
Butchart N, Austin J (1998) Middle atmosphere climatogies from the troposphere-stratosphere configuration of the UKMO’s Unified Model. J Atmos Sci 55:2782–2809
Charney JG, Drazin PG (1961) Propagation of planetary-scale disturbances from the lower into the upper atmosphere. J Geophys Res 66:83–109
Christiansen B (2001) Downward propagation of zonal mean wind anomalies from the stratosphere to the troposphere: model and reanalysis. J Geophys Res 106:27,307–27,322
Déqué M, Dreverton C, Braun A, Cariolle D (1994) The ARPEGE/IFS atmosphere model: a contribution to the French community climate modelling. Clim Dynam 10:249–266
Fels SB, Mahlman JD, Scharkopf MD, Sinclait RW (1980) Stratospheric sensitivity to perturbations in ozone and carbon dioxide. J Atmos Sci 37:2265–2297
Fleming EL, Chandra S, Barnett JJ, Corney M (1990) Zonal mean temperature, pressure, zonal wind and geopotential height as a function of latitude. Adv Spa Res 10(12):11–59
Fortuin JPF, Kelder H (1998) An ozone climatology base on ozonesonde and satellite measurements. J Geophys Res 103:31,709–31,734
Hamilton K, Wilson RJ, Mahlman JD, Umscheid LF (1995) Climatology of the SKYHI troposphere-stratosphere-meseophere general circulation model. J Atmos Sci 52:5–43
Hauglustaine DA, Hourdin F, Jourdain L, Filiberti M-A, Walters S, Lamarque J-F, Holland EA (2004) Interactive chemistry in the laboratoire de meteorologie dynamique general circulation model: description and background tropospheric chemistry evaluation. J Geophys Res 109(D4):4314
Hines CO (1997a) Doppler spread parameterization of gravity wave momentum deposit in the middle atmosphere. Part I: basic formulation. J Atmos Solar Terr Phys 59:371–386
Hines CO (1997b) Doppler spread parameterization of gravity wave momentum deposit in the middle atmosphere. Part II: broad and quasi monochromatic spectra and implementation. J Atmos Solar Terr Phys 59:387–400
Hoskins B J, Hsu HH, James IN, Masutani M, Sardeshmuck PD, White GH (1989) Diagnostics of the global atmospheric circulation based on ECMWF analysis 1979—1989. WCRP/WMO technical document 326:217
Hourdin F, Couvreux F, Menut L (2002) Parameterisation of the dry convective boundary layer based on a mass flux representation of thermals. J Atmos Sci 59:1105–1123
Krinner G, Genthon C (2003) Tropospheric transport of continental tracers towards Antarctica under varying climatic conditions. Tellus 53:54–70
Langematz U, Pawson S (1997) The Berlin troposphere-stratosphere-mesosphere GCM: climatology and forcing mechanisms, Q J R Meteor Soc 123:1075–1096
Li L (1999) Ensemble atmospheric GCM simulation of climate interannual variability from 1979 to 1994. J Climate 12:986–1001
Lott F (1999) Alleviation of stationary biases in a GCM through a mountain drag parametrization scheme and a simple representation of mountain lift forces. Mon Weather Rev 127:788–801
Lott F, Miller M (1997) A new subgrid scale orographic drag parameterization; its testing in the ECMWF model. Q J R Meteor Soc 123:101–127
Manzini E, McFarlane NA (1998) The effect of varying the source spectrum of a gravity wave parameterization in a middle atmosphere general circulation model. J Geophys Res 103:31,523–31,539
Manzini E, McFarlane NA, McLandress C (1997) Impact of the Doppler spread parameterization on the simulation of the middle atmosphere circulation using the MA/ECHAM4 general circulation model. J Geophys Res 102:25,751–25,762
Morcrette JJ (1991) Radiation and cloud radiative properties in the European center for medium range weather forecasting system. J Geophys Res 96:9121–9132
Norton WA (2003) Sensitivity of northern hemisphere surface climate to simulation of the stratospheric polar vortex. Geophys Res Lett 30:1627. DOI 10.1029/2003GL0116958
Pawson S, Coauthors (2000) The GCM-reality intercomparison for SPARC (GRIPS): scientific issues and initial results. Bull Amer Meteor Soc 81:781–796
Perlwitz J, Harnick N (2003) Observational evidence of a stratospheric influence on the troposphere by planetary wave reflection. J Clim 16:3011–3026
Polvani LM, Kushner PJ (2002) Tropospheric response to stratospheric perturbations in a relatively simple general circulation model. Geophys Res Lett 29:1114. DOI 10.1029/2001GL014284
Preisendorfer RW (1988) Principal component analysis in meteorology and oceanography. Elsevier Science, New-York, pp 425
Quaas J, Boucher O, Bréon F-M (2004) Aerosol indirect effects in polder satellite data and the laboratoire de meteorologie dynamique-zoom (lmdz) general circulation model. J Geophys Res 109:D08205. DOI 10.1029/2003JD004317
Reddy MS, Boucher O (2004) A study of the global cycle of carbonaceous aerosols in the lmdzt general circulation model, J Geophys Res 109:D14202. DOI 10.1029/2003JD004048
Rind D, Scuozzo R, Balachandran NK, Lacis A, Russel G (1988) The GISS global climate-middle atmosphere model. Part 1: model structure and climatology. J Atmos Sci 45:329–370
Sadourny R (1975) The dynamics of finite difference models of the shallow water equations. J Atmos Sci 32:680–689
Sawyer JS (1976) Observational characteristics of atmospheric fluctuations with a time scale of a month. Q J R Meteorol Soc 96:610–625
Shepherd TG, Semeniuk K, Koshyk JN (1996) Sponge layer feedbacks in middle atmosphere models. J Geophys Res 101:23,447–23,464
Simmons AJ, Gibson JK (2000) The ERA-40 project plan. ERA-40 Project Report Series 1:63p
Song Y, Robinson WA (2004) Dynamical mechanisms for stratospheric influences on the troposphere. J Atmos Sci 61:1711–1725
Thomson DW, Wallace JM (1998) The arctic oscillation signature in the wintertime geopotential height and temperature fields. Geophys Res Lett 25:1297–1300
Tiedtke M (1989) A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Mon Weather Rev 117:1779–1800
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Lott, F., Fairhead, L., Hourdin, F. et al. The stratospheric version of LMDz: dynamical climatologies, arctic oscillation, and impact on the surface climate. Clim Dyn 25, 851–868 (2005). https://doi.org/10.1007/s00382-005-0064-x
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DOI: https://doi.org/10.1007/s00382-005-0064-x