What Caused the Onset of the 1997–98 El Niño?

Geert Jan van Oldenborgh KNMI, De Bilt, Netherlands

Search for other papers by Geert Jan van Oldenborgh in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

There has been intense debate about the causes of the 1997–98 El Niño. One side sees the obvious intense westerly wind events as the main cause for the exceptional heating in summer 1997, the other emphasizes slower oceanic processes. A quantitative analysis of all factors contributing to the onset of this El Niño is presented here. Specifically, the Niño-3 index in the Hamburg Ocean Primitive Equation Model OGCM at 1 June 1997 is decomposed into contributions from the fluxes and initial state at six months’ lead time. The initial-state thermal anomalies contribute about 40% compared with an average year, and the wind stress about 50%. Compared with the previous year, in which no El Niño developed, the main difference is in the zonal wind stress. This contribution is concentrated at the time and place of the strong westerly wind events in December 1996, and March and April 1997. As westerly wind events are difficult to predict, this limited the predictability of the onset of this El Niño.

Corresponding author address: Geert Jan van Oldenborgh, KNMI, KS/OO, P.O. Box 201, NL-3730 AE De Bilt, Netherlands.

Abstract

There has been intense debate about the causes of the 1997–98 El Niño. One side sees the obvious intense westerly wind events as the main cause for the exceptional heating in summer 1997, the other emphasizes slower oceanic processes. A quantitative analysis of all factors contributing to the onset of this El Niño is presented here. Specifically, the Niño-3 index in the Hamburg Ocean Primitive Equation Model OGCM at 1 June 1997 is decomposed into contributions from the fluxes and initial state at six months’ lead time. The initial-state thermal anomalies contribute about 40% compared with an average year, and the wind stress about 50%. Compared with the previous year, in which no El Niño developed, the main difference is in the zonal wind stress. This contribution is concentrated at the time and place of the strong westerly wind events in December 1996, and March and April 1997. As westerly wind events are difficult to predict, this limited the predictability of the onset of this El Niño.

Corresponding author address: Geert Jan van Oldenborgh, KNMI, KS/OO, P.O. Box 201, NL-3730 AE De Bilt, Netherlands.

Save
  • Battisti, D. S., and A. C. Hirst, 1989: Interannual variability in a tropical atmosphere–ocean model: Influence of the basic state, ocean geometry, and nonlinearity. J. Atmos. Sci.,46, 1687–1712.

  • Bjerknes, J., 1966: A possible response of the atmospheric Hadley circulation to equatorial anomalies of ocean temperature. Tellus,18, 820–829.

  • Blanke, B., J. D. Neelin, and D. Gutzler, 1997: Estimating the effect of stochastic wind forcing on ENSO irregularity. J. Climate,10, 1473–1486.

  • Boulanger, J.-P., and C. Menkes, 1995: Propagation and reflection of long equatorial waves in the Pacific Ocean during the 1992–1993 El Niño. J. Geophys. Res.,100, 25 041–25 059.

  • Burgers, G., 1999: The El Niño stochastic oscillator. Climate Dyn.,15, 521–531.

  • ——, and D. B. Stephenson, 1999: The normality of El Niño. Geophys. Res. Lett.,26, 1027–1030.

  • Eckert, C., and M. Latif, 1997: Predictability of a stochastically forced hybrid coupled model of ENSO. J. Climate,10, 1488–1504.

  • Flügel, M., and P. Chang, 1996: Impact of dynamical and stochastic processes on the predictability of ENSO. Geophys. Res. Lett.,23, 2089–2092.

  • Frey, H., M. Latif, and T. Stockdale, 1997: The coupled GCM ECHO-2. Part I: The tropical Pacific. Mon. Wea. Rev.,125, 703–720.

  • Gibson, R., P. Kållberg, S. Uppala, A. Hernandez, A. Nomura, and E. Serrano, 1997: ECMWF Re-analysis Final Rep. Series 1. ERA description. ECMWF, Reading, United Kingdom, 71 pp.

  • Giering, R., and T. Kaminski, 1998: Recipes for adjoint code construction. ACM Trans. Math. Software,24, 437–474.

  • Ji, M., A. Leetmaa, and V. E. Kousky, 1996: Coupled model predictions of ENSO during the 1980s and 1990s at the National Centers for Environmental Prediction. J. Climate,9, 3105–3120.

  • Jin, F.-F., 1997: An equatorial recharge paradigm for ENSO. Part I: Conceptual model. J. Atmos. Sci.,54, 811–829.

  • Kessler, W. S., and M. J. McPhaden, 1995: Oceanic equatorial waves and the 1991–93 El Niño. J. Climate,8, 1757–1774.

  • ——, ——, and K. M. Weickman, 1995: Forcing of intraseasonal Kelvin waves in the equatorial Pacific. J. Geophys. Res.,100, 10 613–10 631.

  • Kleeman, R., and A. M. Moore, 1997: A theory for the limitations of ENSO predictability due to stochastic atmospheric transients. J. Atmos. Sci.,54, 753–767.

  • ——, ——, and N. R. Smith, 1995: Assimilation of subsurface thermal data into a simple ocean model for the initialization of an intermediate tropical coupled ocean–atmosphere forecast model. Mon. Wea. Rev.,123, 3103–3114.

  • McPhaden, M. J., 1999: Genesis and evolution of the 1997–98 El Niño. Science,283, 950–954.

  • ——, and X. Yu, 1999: Equatorial waves and the 1997–1998 El Niño. Geophys. Res. Lett.,26, 2961–2964.

  • ——, and Coauthors, 1998: The Tropical Ocean Global Atmosphere (TOGA) observing system: A decade of progress. J. Geophys. Res.,103 (C7), 14 169–14 240.

  • Moore, A. M., and R. Kleeman, 1999: Stochastic forcing of ENSO by the intraseasonal oscillation. J. Climate,12, 1199–1220.

  • Neelin, J. D., 1991: The slow sea-surface temperature mode and the fast-wave limit: Analytic theory for tropical interannual oscillations and experiments in a hybrid coupled model. J. Atmos. Sci.,48, 584–606.

  • ——, D. S. Battisti, A. C. Hirst, F.-F. Jin, Y. Wakata, T. Yamagata, and S. E. Zebiak, 1998: ENSO theory. J. Geophys. Res.,103, 14 261–14 290.

  • Pearce, F., 1997: Sneaky El Niño outwits weather forecasters. New Sci.,31 May, 6.

  • Penland, C., and P. D. Sardeshmukh, 1995: The optimal growth of tropical sea surface anomalies. J. Climate,8, 1999–2024.

  • Philander, S. G., 1990: El Niño, La Niña and the Southern Oscillation. Academic Press, 293 pp.

  • Picaut, J., M. Ioulalen, C. Menkes, and T. Delcroix, 1996: Mechanism of the zonal displacement of the Pacific warm pool: Implications for ENSO. Science,274, 1486–1489.

  • Reynolds, R. W., and T. M. Smith, 1994: Improved global sea surface analyses using optimum interpolation. J. Climate,7, 929–948.

  • Schneider, E. K., B. Huang, Z. Zhu, D. G. DeWitt, J. L. Kinter III, B. Kirtman, and J. Shukla, 1999: Ocean data assimilation, initialization, and predictions of ENSO with a coupled GCM. Mon. Wea. Rev.,127, 1187–1207.

  • Slingo, J. M., D. P Rowell, K. R. Sperber, and F. Nortley, 1999: On the predictability of the interannual behaviour of the Madden–Julian oscillation and its relationship with El Niño. Quart. J. Roy. Meteor. Soc.,125, 583–608.

  • Stockdale, T. N., D. L. T. Anderson, J. O. S. Alves, and M. A. Balmaseda, 1998: Global seasonal rainfall forecasts using a coupled ocean–atmosphere model. Nature,392, 370–373.

  • Suarez, M. J., and P. S. Schopf, 1988: A delayed action oscillator for ENSO. J. Atmos. Sci.,45, 3283–3287.

  • van der Vaart, P. C. F., 1998: Nonlinear tropical climate dynamics. Ph.D. thesis, Universiteit Utrecht, Utrecht, Netherlands, 175 pp. [Available from Institute for Marine and Atmospheric Research Utrecht, P.O. Box 80005, NL-3508 TA, Utrecht, Netherlands.].

  • van Oldenborgh, G. J., G. Burgers, S. Venzke, C. Eckert, and R. Giering, 1999: Tracking down the ENSO delayed oscillator with an adjoint OGCM. Mon. Wea. Rev.,127, 1477–1496.

  • Wolff, J.-O., E. Maier-Reimer, and S. Legutke, 1997: The Hamburg Ocean Primitive Equation model HOPE. Tech. Rep. 13, Deutsches Klimarechenzentrum, 98 pp. [Available from Deutsches Klimarechenzentrum, Bundesstr. 55, D-20146 Hamburg, Germany.].

  • Wyrtki, K., 1975: El Niño—The dynamic response of the equatorial Pacific Ocean to atmospheric forcing. J. Phys. Oceanogr.,5, 572–584.

  • ——, 1985: Water displacements in the Pacific and the genesis of El Niño. J. Geophys. Res.,90, 7129–7132.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 1299 1066 43
PDF Downloads 188 43 1