A stochastic analysis of the impact of small-scale fluctuations on the tropospheric temperature response to CO2 doubling

Journal of Climate

Volumn 23, Issue 9, 2010, Pages 2307-2319

  Seiffert, Rita ^a   Von Storch, Jin Song ^a  

^a MAX PLANCK INSTITUTE FOR METEOROLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODEL; DIFFERENT MECHANISMS; EXTERNAL FORCING; FLUCTUATION DISSIPATION; GLOBAL-MEAN TEMPERATURE; OCEAN MODEL; PARAMETERIZATIONS; PRE-INDUSTRIAL; RESTORING FORCES; STATISTICAL BEHAVIOR; STOCHASTIC ANALYSIS; TEMPORAL RESOLUTION; TROPOSPHERIC TEMPERATURE;

CLIMATE MODELS; DAMPING; OCEANOGRAPHY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

CLIMATE CHANGE;

AIR TEMPERATURE; AMPLITUDE; CARBON DIOXIDE ENRICHMENT; CLIMATE CHANGE; CLIMATE FORCING; CLIMATE MODELING; CONCENTRATION (COMPOSITION); DAMPING; PARAMETERIZATION; STOCHASTICITY; TROPOSPHERE;

EID: 77953691786     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009JCLI3043.1     Document Type: Article

References (34)

1. Bell, T. L., 1980: Climate sensitivity from fluctuation dissipation: Some simple model tests. J. Atmos. Sci., 37, 1700-1707.
2. Bengtsson, L., K. I. Hodges, M. Esch, N. Keenlyside, L. Kornblueh, J. J. Lu, and T. Yamagata, 2007: How may tropical cyclones change in a warmer climate? Tellus, 59, 539-561.
3. Berner, J., 2003: Detection and stochastic modelling of nonlinear signatures in the geopotential height of an atmospheric general circulation model. Ph.D. thesis, Rheinische Friedrich- Wilhelms-Universität Bonn, 156 pp.
4. Berner, J., 2005: Linking nonlinearity and non-Gaussianity of planetary wave behavior by the Fokker-Planck equation. J. Atmos. Sci., 62, 2098-2117.
5. Bony, S., and Coauthors, 2006: How well do we understand and evaluate climate change feedback processes? J. Climate, 19, 3445-3482.
6. Branstator, G., and F. Selten, 2009: "Modes of variability" and climate change. J. Climate, 22, 2639-2658.
7. Cionni, I., G. Visconti, and F. Sassi, 2004: Fluctuation dissipation theorem in a general circulation model. Geophys. Res. Lett., 31, L09206, doi:10.1029/2004GL019739.
8. Colman, R., 2003: A comparison of climate feedbacks in general circulation models. Climate Dyn., 20, 865-873.
9. DelSole, T., 2000: A fundamental limitation of Markov models. J. Atmos. Sci., 57, 2158-2168.
10. Forster, P., and Coauthors, 2007: Changes in atmospheric constituents and in radiative forcing. Climate Change 2007: The Physical Science Basis, S. Solomon et al., Eds., Cambridge University Press, 129-234.
11. Gardiner, C. W., 1985: Handbook of Stochastic Methods: For Physics, Chemistry, and the Natural Sciences. Springer, 442 pp.
12. Gritsun, A., and G. Branstator, 2007: Climate response using a three-dimensional operator based on the fluctuation-dissipation theorem. J. Atmos. Sci., 64, 2558-2575.
13. Jungclaus, J. H., and Coauthors, 2006: Ocean circulation and tropical variability in the coupled model ECHAM5/MPI-OM. J. Climate, 19, 3952-3972.
14. Kloeden, P., 1992: Numerical Solution of Stochastic Differential Equations. Springer, 632 pp.
15. Kloster, S., K. D. Six, J. Feichter, E. Maier-Reimer, E. Roeckner, P. Wetzel, P. Stier, and M. Esch, 2007: Response of dimethylsulfide (DMS) in the ocean and atmosphere to global warming. J. Geophys. Res., 112, G03005, doi:10.1029/2006JG000224.
16. 2 warming in an aquaplanet GCM using the fluctuation-dissipation theorem. Geophys. Res. Lett., 32, L23708, doi:10.1029/2005GL024136.
17. Leith, C., 1975: Climate response and fluctuation dissipation. J. Atmos. Sci., 32, 2022-2026.
18. Marotzke, J., and M. Botzet, 2007: Present-day and ice-covered equilibrium states in a comprehensive climate model. Geophys. Res. Lett., 34, L16704, doi:10.1029/2006GL028880.
19. Marsland, S. J., H. Haak, J. H. Jungclaus, M. Latif, and F. Roske, 2003: The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates. Ocean Modell., 5, 91-127.
20. North, G. R., R. E. Bell, and J. W. Hardin, 1993: Fluctuation dissipation in a general circulation model. Climate Dyn., 8, 259-264.
21. Penland, C., 2003: A stochastic approach to nonlinear dynamics: A review. Bull. Amer. Meteor. Soc., 84 (Suppl.), doi:10.1175/ BAMS-84-7-Penland.
22. Pohlmann, H., F. Sienz, and M. Latif, 2006: Influence of the multi-decadal Atlantic meridional overturning circulation variability on European climate. J. Climate, 19, 6062-6067.
23. Risken, H., 1984: The Fokker-Planck Equation: Methods of Solution and Applications. Springer, 454 pp.
24. Roeckner, E., and Coauthors, 2003: The atmospheric general circulation model ECHAM5. Part I: Model description. Max Planck Institut for Meteorology Tech. Rep. 349, 127 pp. [Available online at http://www.mpimet.mpg.de/fileadmin/models/echam/mpi_report_349.pdf.]
25. Roeckner, E., and Coauthors, 2006: Sensitivity of simulated climate to horizontal and vertical resolution in the ECHAM5 atmosphere model. J. Climate, 19, 3771-3791.
26. Seiffert, R., and J.-S. von Storch, 2008: Impact of atmospheric small-scale fluctuations on climate sensitivity. Geophys. Res. Lett., 35, L10704, doi:10.1029/2008GL033483.
27. Siegert, S., R. Friedrich, and J. Peinke, 1998: Analysis of data sets of stochastic systems. Phys. Lett., 243A, 275-280.
28. Soden, B. J., and I. M. Held, 2006: An assessment of climate feedbacks in coupled ocean-atmosphere models. J. Climate, 19, 3354-3360.
29. Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, and H. L. Miller, Eds., 2007: Climate Change 2007: The Physical Science Basis. Cambridge University Press, 996 pp.
30. Sura, P., 2003: Stochastic analysis of southern and Pacific Ocean sea surface winds. J. Atmos. Sci., 60, 654-666.
31. Sura, P., and J. Barsugli, 2002: A note on estimating drift and diffusion parameters from timeseries. Phys. Lett., 305A, 304-311.
32. von Storch, J. S., 2004: On statistical dissipation in GCM climate. Climate Dyn., 23, 1-15.
33. von Storch, J. S., and H. Haak, 2008: Impact of daily fluctuations on long-term predictability of the Atlantic meridional overturning circulation. Geophys. Res. Lett., 35, L01609, doi:10.1029/2007GL032385.
34. Webb, M. J., and Coauthors, 2006: On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles. Climate Dyn., 27, 17-38.