Impact of atmospheric horizontal resolution on El Niño Southern Oscillation forecasts

References

• AchutaRao, K. and Sperber, K. R. 2002. Simulation of the El Niño Southern Oscillation: results from the coupled model intercomparison project. Climate Dyn. 29, 191–209.
   Google Scholar
• Corti, S., Gualdi, S. and Navarra, A. 2003. Analysis of the mid-latitude weather regimes in the 200-yr control integration of the SINTEX model. Ann. Geophys. 46, 27–37.
   Web of Science ®Google Scholar
• Davey, M., Huddleston, M., Sperber, K., Braconnot, P., Bryan, F. and co-authors. 2001. Stoic: a study of coupled model climatology and variability in tropical ocean regions. Climate Dyn. 18, 18–420.
   Google Scholar
• Doblas-Reyes, F. J., Hagedorn, R. and Palmer, T. N. 2005. The rationale behind the success of multi-model ensembles in seasonal forecasting - II. Calibration and combination. Tellus 57A, 234–252.
   Google Scholar
• Fedorov, A. and Philander, S. G. H. 2000. Is El Niño changing? Science 288, 1997–2002.
   PubMed Web of Science ®Google Scholar
• Fischer, M. 2002. ENSO predictions with coupled ocean-atmosphere models. In: Ocean Forecasting (edsN. Pinardi and J. Woods. Springer-Verlag, Berlin, pp. 307-338.
   Google Scholar
• Gualdi, S., Navarra, A., Guilyardi, E. and Delecluse, P. 2003a. The SIN-TEX coupled GCM. The tropical Indo-Pacific region. Ann. Geophys. 46, 1–26.
   Web of Science ®Google Scholar
• Gualdi, S., Guilyardi, E., Navarra, A., Masina, S. and Delecluse, P. 2003b. The interannual variability in the tropical Indian Ocean as simulated by a CGCM. Climate Dyn. 20, 567–582.
   Web of Science ®Google Scholar
• Guilyardi, E., Delecluse, P., Gualdi, S. and Navarra, A. 2003. Mech-anisms for ENSO phase change in a coupled GCM. J. Climate 16, 1141–1158.
   Web of Science ®Google Scholar
• Guilyardi, E., Gualdi, S., Slingo, J., Navarra, A., Delecluse, P. and co-authors. 2004. Representing El Niño in coupled ocean-atmosphere GCMs: the dominant role of atmospheric component. J. Climate 17, 4623–4629.
   Google Scholar
• Hagedorn, R., Doblas-Reyes, E J. and Palmer, T. N. 2005. The rationale behind the success of multi-model ensembles in seasonal forecasting - I. Basic concept.Tellus 57A, this issue.
   Google Scholar
• Kanamitsu, M., Kumar, A., Juang, H.-M. H., Schemm, J.-K., Wang, W. and co-authors. 2002. NCEP dynamical seasonal forecast system 2000. Bull. Am. Meteorol. Soc. 83, 83–1037.
   Google Scholar
• Latif, M., Anderson, D., Barnett, T., Cane, M., Kleeman, R. and co-authors. 1998. A review of the predictability and prediction of ENSO.J. Geophys. Res. 103, 14375–14393.
   Google Scholar
• Madec, G., Delecluse, R, Imbard, M. and Levy, C. 1998. OPA 8.1 ocean general circulation model reference manual. Tech. Rep. LODYC/IPSL Note 11, 91 pp.
   Google Scholar
• Masina, S., Pinardi, N. and Navarra, A. 2001. A global ocean temper-ature and altimeter data assimilation system for studies of climate variability. Clim. Dyn. 17, 687–700.
   Web of Science ®Google Scholar
• Mason, S. J., Goddard, L., Graham, N. E., Yulaeva, E., Sun, L. and co-authors. 1999. The IRI seasonal climate prediction system and the 1997/98 El Niño event. Bull. Am. Meteorol. Soc. 80, 1853–1873.
   Web of Science ®Google Scholar
• Neelin, D. J., Battisti, D. S., Hirst, A. C., Jin, F.-E, Walcata, Y. and co-authors. 1998. ENSO theory.J. Geophys. Res. 103, 14261–14290.
   Google Scholar
• Palmer, T. N., Alessandri, A., Andersen, U., Cantelaube, P., Davey, M. and co-authors. 2004. Development of a European Multi-model En-semble System for Seasonal to Interannual Prediction (DEMETER). Bull. Am. Meteorol. Soc. 85, 85–872.
   Google Scholar
• Perigaud, C., Melin, F. and Cassou, C. 2000. ENSO simulated by interme-diate coupled models and evaluated with observations over 1970–98. Part I: role of the off-equatorial variability. J. Climate 13, 1605–1634.
   Web of Science ®Google Scholar
• Philander, S. G. H. 1990. El Niño, La Niria and the Southern Oscillation, Academic, San Diego, 293 pp.
   Google Scholar
• Rayner, N. A., Parker, D. E., Erich, P., Horton, E. B., Folland, C. K. and co-authors. 2000. SST and sea-ice fields for ERA-40. Proceedings of the 2nd WCRP International Conference on Reanalyses, Reading, UK, August 1999, WCRP-109, WMO/TD-No. 985, pp. 18-21.
   Google Scholar
• Reynolds, R. W. and Smith, T. M. 1994. Improved global sea surface temperature analyses using optimal interpolation. J. Climate 7, 929–948.
   Web of Science ®Google Scholar
• Roeckner, E., Arpe, K., Bengtsson, L., Cristoph, M., Claussen, M. and co-authors. 1996. The atmospheric general circulation model ECHAM-4: model description and simulation of present-day climate.Max-Planck-Institut für Meteorologie Rep. 218, 94 pp.
   Google Scholar
• Ropelewski, C. E and Halpert, M. S. 1987. Global and regional scale precipitation patterns associated with El Niño/Southern Oscillation. Mon. Wea. Rev. 115, 1606–1626.
   Web of Science ®Google Scholar
• Schneider, E. K., DeWitt, D. G., Rosati, A., Kirtman, B. P., Ji, L. and co-authors. 2003. Retrospective ENSO forecasts: sensitivity to atmo-spheric model and ocean resolution. Mon. Wea. Rev. 131, 3038–3060
   Google Scholar
• Stern, W. and Miyakoda, K. 1995. Feasibility of seasonal forecasts in-ferred from multiple GCM simulations. J. Climate 8, 1071–1085.
   Web of Science ®Google Scholar
• Valcke, S., Terray, L. and Piacentini, A. 2000. The OASIS coupler user guide version 2.4. Tech. Rep. TR/CMGC/00–10, CERFACS,88 pp.
   Google Scholar
• Webster, P. J. 1995. The annual cycle of and the predictability of the tropical coupled ocean—atmosphere system. MeteoroL Atmos. Phys. 56, 33–55.
   Web of Science ®Google Scholar
• Xie, P. and Arkin, P. A. 1997. Global precipitation: A 17-yr monthly analysis based on gauge observations, satellite estimates and numerical model outputs. Bull. Am. MeteoroL Soc. 78, 2539–2558.
   Web of Science ®Google Scholar
• Zebiak, S. E. and Cane, M. A. 1987. A model of El Niño Southern Oscillation. Mon. Wea. Rev. 115, 2262–2278.
   Web of Science ®Google Scholar