Intermediate time error growth and predictability: Tropics versus mid-latitudes

Tellus, Series A: Dynamic Meteorology and Oceanography

Volumn 61, Issue 5, 2009, Pages 579-586

  Straus, David M ^a   Paolino, Dan ^b  

^a GEORGE MASON UNIVERSITY   (United States)

^b CENTER FOR OCEAN LAND ATMOSPHERE STUDIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC GENERAL CIRCULATION MODEL; CLIMATE PREDICTION; PLANETARY WAVE; WEATHER FORECASTING; ZONAL WIND;

EID: 77249138238     PISSN: 02806495     EISSN: 16000870     Source Type: Journal    
DOI: 10.1111/j.1600-0870.2009.00411.x     Document Type: Article

References (22)

1. Fu, X., Yang, B., Bao, Q. and Wang, B. 2008. Sea surface temperature feedback extends the predictability of tropical intraseasonal oscillation. Mon. Wea. Rev. 126, 577-597.
2. Hendon, H. H. and Wheeler, M. C. 2008. Space-time spectral analysis of tropical convection and planetary-scale waves. J. Atmos. Sci. 65, 2936-2948.
3. Hoskins, B. J. and Yang, G.-Y. 2000. The equatorial response to higher latitude forcing. J. Atmos. Sci. 57, 1197-1213.
4. Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D. and co-authors. 1996. The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc. 77, 437-471.
5. Leith, C. E. and Kraichnan, R. H. 1972. Predictability of turbulent flows. J. Atmos. Sci. 29, 1041-1058.
6. Lin, H., Brunet, G. and Derome, J. 2007. Intraseasonal variability in a dry atmosphere. J. Atmos. Sci. 64, 2422-2441.
7. Lin, J. W.-B., Neelin, J. D. and Zeng, N. 2007. Maintenance of tropical intraseasonal variability: impact of evaporation wind feedback and mid-latitude storms. J. Atmos. Sci. 57, 1767-1796.
8. Lorenz, E. N., 1969. The predictability of a flow which contains many scales of motion. Tellus 21, 289-307.
9. Majda, A. J. and Biello, J. A. 2003. The nonlinear interaction of barotropic and equatorial baroclinic Rossby waves. J. Atmos. Sci. 60, 1809-1821.
10. Mapes, B., Tulich, S., Nasuno, S. and Satoh, M. 2008. Predictability aspects of global aqua-planet simulations with explicit convection. J. Meteor. Soc. Jpn. 68, 175-185.
11. Moorthi, S. and Suarez, M. J. 1992. Relaxed Arakawa-Schubert: a parameterization of moist convection for general circulation models. Mon. Wea. Rev. 210, 978-1002.
12. Pegion, K. and Kirtman, B. P. 2008. The impact of air-sea interactions on the predictability of the tropical intraseasonal oscillation. J. Climate 21, 1228-1268.
13. Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V. and co-authors. 2003. Global analyses of sea surface temperature, sea ice, and night marine temperature since the late nineteenth century. J. Geophys. Res. 108, doi:10.1029/2002JD002670.
14. Reichler, T. and Roads, J. O. 2005a. Long-range predictability in the tropics. Part I: monthly averages. J. Climate 18, 619-633.
15. Reichler, T. and Roads, J. O. 2005b. Long-range predictability in the tropics. Part II: 30-60 day variability. J. Climate 18, 634-650.
16. Reynolds, R. W. and Smith, T. M. 1994. Improved global seas surface temperature analyses using optimal interpolation. J. Climate 7, 929-948.
17. Rotunno, R. and Snyder, C. 2008. A generalization of Lorenz's model for the predictability of flows with many scales of motion. J. Atmos. Sci. 65, 1063-1076.
18. Shukla, J. 1984. Predictability of time averages. Part II: the influence of boundary forcing. In: Problems and Prospects in Long and Medium Range Weather Forecasting (eds. D. M., Burridge and E., Kallen), Springer-Verlag, New York, 155-206.
19. Simmons, A. J. and Hoskins, B. J. 1978. The life cycle of some nonlinear baroclinic waves. J. Atmos. Sci. 35, 3609-3626.
20. Straus, D. M. and Lindzen, R. S. 2000. Planetary-scale baroclinic instability and the MJO. J. Atmos. Sci. 57, 3609-3626.
21. Straus, D. M. and Molteni, F. 2004. Circulation regimes and SST forcing: results from large GCM ensembles. J. Climate 17, 1641-1656.
22. Wheeler, M. and Kiladis, G. N. 1999. Convectively coupled equatorial waves: analysis of clouds and temperature in the wavenumberfrequency domain. J. Atmos. Sci. 56, 374-399.