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Understanding the predictability of seasonal precipitation over northeast Brazil Cover

Understanding the predictability of seasonal precipitation over northeast Brazil

Open Access
|Jan 2006

References

  1. Barnston , A. G. , Kumar , A. , Goddard , L. and Hoerling , M. P. 2005 . Improving seasonal prediction practices through attribution of climate variability . Bull. Amer Soc . 86 , 59 72 .
  2. Brankovic , C. and Palmer , T. N. 1997 . Atmospheric seasonal predictabil-ity and estimates of ensemble size . Mon. Wea. Rev . 125 , 859 874 .
  3. Chang , R , Saravanan , R. and Ji , L. 2003 . Tropical Atlantic seasonal pre-dictability: the roles of El Nino remote influence and thermodynamic air—sea feedback . Geophys. Res. Lett . 30 , 1501 1504 .
  4. Chen , W. Y. and Dool Huug M. Van den 1997 . Atmospheric predictability of seasonal, annual, and decadal climate means and the role of the ENSO cycle: a model study. J. Climate 10 , 1236 1254 .
  5. Chiang , J. C. H. , Kushnir , Y. and Giannini , A . 2002 . Deconstructing Atlantic ITCZ variability: influence of the local cross-equatorial SST gradient, and remote forcing from the eastern equatorial Pacific . J. Geophys. Res.-Atmospheres 107 ( D1 ), doi: 10.1029/2000JDO00307.
  6. Curtis , S. and Hastenrath , S. 1995 . Forcing of anomalous sea surface temperature evolution in the tropical Atlantic during Pacific warm events . J. Geophys. Res . 100 , 15835 15847 .
  7. Davies , R. 1982 . Documentation of the solar radiation parameterization in the GLAS climate model . NASA Tech. Mem . 83961 , 57 pp .
  8. DeWitt , D. G. and Schneider , E. K. 1997 . The earth radiation budget as simulated by the COLA GCM . COLA Rep. 35, 39 pp. [Available from COLA, 4041 Powder Mill Rd., Suite 302, Calverton, MD 207051
  9. Dirmeyer , P. A. and Zeng , F. J. 1999 . Precipitation infiltration in the simplified SiB land surface scheme . J. Meteor Soc. Japan 78 , 291 303 .
  10. Enfield , D. B. and Mayer , D. A. 1997 . Tropical Atlantic sea surface temperature variability and its relation to El Nino Southern Oscillation . J. Geophys. Res . 102 , 929 945 .
  11. Fennessy , M. J. , Kinter , J. L. BI , Kirtman , B. , Marx , L. , Nigam , S. , Schneider , E. K. , Shukla , J. , Straus , D. , Vernekar , A. , Xue , Y. and Zhou , J. 1994 . The simulated indian monsoon: a GCM sensitivity study. J. Climate 7 , 33 43 .
  12. Folland , C. K. , Colman , A. W. , Rowell , D.P. and Davey , M. K. 2001 . Predictability of northeast Brazil rainfall and real-time forecast skill, 1987-98 . J. Climate 14 , 1937 1958 .
  13. Goddard , L. , Barnston , A. G. and Mason , S. J. 2003 . Evaluation of the IRI’s ‘net assessment’ seasonal climate forecasts: 1997-2001 . Bull. Amer. Meteor. Soc . 84 , 1761 1781 .
  14. Giannini , A. , Chang , J. C. H. , Cane , M. A. , Kushnir , Y., and Seager , R . 2001 . The ENSO teleconnection of the tropical Atlantic Ocean: contributions of the remote and local SSTs to rainfall variability in the tropical Americas . J. Climate 14 , 4530 4544 .
  15. Giannini , A. , Saravanan , R. and Chang , P. 2004 . The precondition-ing role of tropical Atlantic variability in the development of the ENSO teleconnection: implications for the prediction of Nordeste rainfall . Clim. Dyn . 22 , doi: 10.1007/s00382-004-0420-2 , 839 855 .
  16. Graham , R. J. , Evans , A. D. L., Mylne , K. R. , Harrison , M. S. J. and Robertson , K. B. 2000 . As assessment of seasonal predictability using atmospheric general circulation models . Quart. J. Roy. Meteor Soc . 126 , 2211 2240 .
  17. Greischar , L. and Hastenrath , S. 2000 . The rainy seasons of the 1990s in northeast Brazil: real-time forecasts and verification . J. Climate 13 , 3821 3826 .
  18. Harshvardhan , R. , Davies , R. , Randall , D. A. and Corsetti , T. G. 1987 . A fast radiation parameterization for atmospheric circulation models . J. Geophy. Res . 92 ( D1 ), 1009 1016 .
  19. Hastenrath , S. and Heller , L. 1977 . Dynamics of climate hazards in northeast Brazil . Quart. J. Royal Meteor Soc . 103 , 77 92 .
  20. Hastenrath , S. and Greischar , L. 1993 . Further work on the prediction of northeast Brazil rainfall anomalies . J. Climate 6 , 743 758 .
  21. Hoerling , M. P. , Kumar , A. and Xu , T . 2001 . Robustness of the nonlinear climate response to ENSO’s extreme phases . J. Climate 14 , 3751 3766 .
  22. Horel , J. D. and Wallace , J. M. 1981 . Planetary-scale atmospheric phe-nomena associated with the Southern Oscillation . Mon. Wea. Rev . 109 , 813 829 .
  23. Kiehl , J. T. , Hack , J. J. , Bonan , G. , Boville , B. A. , Williamson , D. L. and Rasch , P. J. 1998 . The national center for atmospheric research community climate model: CCM3 . J. Climate 11 , 1131 1149 .
  24. Kirtman , B. P. , Paolino , D. A. , Kinter , J. L. and Straus , D. M. 2001 . Im-pact of tropical subseasonal SST variability on seasonal mean climate simulations . Mon. Wea. Rev . 129 , 853 868 .
  25. Kirtman , B. P. 2003 . The COLA anomaly coupled model: ensemble ENSO . Mon. Wea. Rev . 131 , 2324 2341 .
  26. Lau , N.-C. and Nath , M. J. 1996 . The role of the ‘atmospheric bridge’ in linking tropical Pacific ENSO events to extratropical SST anomalies . J. Clim . 9 , 2036 2057 .
  27. Mellor , G. L. and Yamada , T. 1982 . Development of a turbulence closure model for geophysical fluid processes . Rev. Geophys. Space Phys . 20 , 851 875 .
  28. Misra , V. 2003 . The influence of Pacific SST variability on the precipi-tation over Southern Africa . J. Climate 16 , 2408 2418 .
  29. Misra , V. 2004 . An evaluation of the predictability of austral sum-mer season precipitation over South America . J. Climate 17 , 1161 1175 .
  30. Moorthi , S. and Suarez , M. J. 1992 . Relaxed Arakawa-Schubert: a pa-rameterization of moist convection for general circulation models . Mon. Wea. Rev . 120 , 978 1002 .
  31. Moura , A. D. and Shukla , J. 1981 . On the dynamics of droughts in northeast Brazil: observations, theory and numerical experiments with a general circulation model . J. Atmos. Sci 38 , 3653 2675 .
  32. Moura , A. D. and Hastenrath , S. 2004 . Climate prediction for Brazil’s Nordeste: performance of empirical and numerical modeling methods . J. Climate 17 , 2667 2672 .
  33. Nobre , C. and Shukla , J. 1996 . Variations of sea surface temperature, wind stress, and rainfall over the tropical Atlantic and South America . J. Climate 9 , 2464 2479 .
  34. Palmer , T. N. , Brankovic , C. and Richardson , D. S. 2000 . A probabil-ity and decision model analysis of PROVOST seasonal multi-model ensemble integrations . Quart. J. Roy. Meteor. Soc . 126 , 2013 2034 .
  35. Parker , D. E. , Rayner , N. A. , Horton , E. B. and Folland , C. K. 1999 . Development of the Hadley Center sea ice and sea surface temper-ature data sets (HADISST). WMO workshop on Advances in Ma-rine Climatology-CLIMAR99 , 194 203 . [ Available from Environment Canada, Ontario ].
  36. Raisanen , J. and Palmer , T. N. 2001 . A probability and decision model analysis of a multimodel ensemble of climate change simulations . J. Climate 14 , 3212 3226 .
  37. Saravanan , R. and Chang , P. 2000 . Interaction between tropical Atlantic variability and El Nino southern oscillation . J. Climate 13 , 2177 2194 .
  38. Seager , R. , Kushnir , Y. , Visbeck , M. , Naik , N. , Miller , J. , Krahmann , G. and Cullen , H. 2000 . Causes of Atlantic Ocean climate variability between 1958 and 1998 . J. Clim . 13 , 2845 2862 .
  39. Sun , L. , Moncunill , D. F. , Li , H. , Moura , A. D. and Filho , F. A. S. 2005 . Climate downscaling over Nordeste, Brazil, using the NCEP R5M97 . J. Climate 18 , 551 564 .
  40. Tiedtke , M. 1984 . The effect of penetrative cumulus convection on the large-scale flow in a general circulation model . Beitr Phys. Atmos . 57 , 216 239 .
  41. Xie , P. and Arkin , P. 1996 . Analysis of global monthly precipitation using guage observations, satellite estimates and numerical model predictions . J. Climate 9 , 840 858 .
  42. Xue , Y.-K. , Sellers , P. J. , Kinter , J. L. and Shukla , J. 1991 . A simplified biosphere model for global climate studies . J. Climate 4 , 345 364 .
  43. Xue , Y.-K. , Zeng , F. J. and Schlosser , C. A. 1996 . SSiB and its sensitivity to soil properties. A case study using HAPEX-Mobilhy data . Glob. Planet. Change 13 , 183 194 .
Language: English
Page range: 307 - 319
Submitted on: Mar 31, 2005
Accepted on: Nov 4, 2005
Published on: Jan 1, 2006
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2006 Vasubandhu Misra, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.