Abstract
In this paper, the two-layer IAP model with sea surface temperature anomalies in the equatorial central-eastern Pacific is used to investigate potential predictability of global short—term anomalous climate change caused by El Nino via the “switching” experiments. The experimental results show that short—term anomalous climate change in the tropics is mainly caused by instantaneous response of tropical atmosphere to SSTA in the tropics. The effective period of this kind of anomalous climate is shorter and about monthly scale. In the high latitudes, the anomalous climate is mainly caused by the lag response of atmosphere to SSTA in the tropics. The strongest influence appears in the month after a half year when the SSTA in the tropics disappears. Therefore, potential predictability of short-term anomalous climate change may be reached to one year; anomalous climate change in the middle-latitudes is not only. affected by instantaneous response to SSTA in the tropics, but also by lag response to that. Therefore, short-term climate change prediction with monthly time scale can be not only done by using SSTA in the tropics, but also prediction of short- term climate after a half year can be done and its effective predictable period may be reached to one year.
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References
Chervin, R. M. (1986), Interannual variability and seasonal climate predictability,J. Atmos. Sci., 43: 233–251.
Keshramurty, R. N. (1982), Response of the atmosphere to sea-surafce temperature anomalies over the equatorial Pacific and the teleconnections of the Southern Oscillation,J. Atmos. Sci., 39: 1241–1259.
Lorenz, E. N. (1963), The predictability of hydrodynamic flow,Trans. New York Academy of Sciences, Ser. II, 25, 409-433.
Lorenz, E. N. (1969), Three approaches to atmospheric predictability,Bull. Amer. Meteor. Soc, 50: 345–349.
Lorenz, E. N. (1982), Irregularity: A fundamental property of the atmosphere,Tellus,36A: 98–111.
Miyakoda, K and Chao Jiping, (1982), Essay on dynamical long range forecasts of atmospheric circulation,J. Met. Soc. Japan, 60: 292- 308.
Ni Yunqi, Lin Wuyin, (1990), Numerical study of short-range climate oscillation with various time scales forced by El Nino during the Northern summer,Acta Meteorologica Sinica.,4(3): 305–324.
Ni Yunqi, Lin Wuyin and Ning Dongmei. (1990), Numerical study of the short-term climate oscillations forced by El Nino during the Northern winter,Acta Meteorologica Sinica., 4(5): 552–566.
Oort, A. H. (1983), Global atmospheric circulation statistics, 1958- 1973. NOAA Professional Paper No.14, U. S. Government printing office, Washington D. C, 180pp.
Shukla, J., (1981a), Dynamical predictability of monthly means,J. Atmos. Sci., 38: 2547–2572.
Shukla, J., (1981b), Predictability of monthly means: Part II, Influence of the boundary forcings,Proceedings of ECMW F Seminar on problems and prospects in long and medium range weather forecasting, 261-312.
Simmons, A. J. (1982), The forcing of stationary wave motion by tropical diabatic heating,Q. J. R. Met. Soc., 10: 503–534.
Webster, P. J. (1981), Mechanisms determining the atmospheric response to sea surface temperature anomalies,J. Atmos. Sci. 38:554–571.
Zeng Qingcun, Zhang Xuehong, Liang Xinzhong, Yuan Chongguang and Chen Shengfang (1989), Documentation of IAP Two Level Atmospheric General Circulaiton Model, DOE/ER/60314-H1, Prepared for United States Department of Energy, 383pp.
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Yunqi, N., Wuyin, L., Wanqiu, W. et al. Numerical study for potential predictability of short— term anomalous climate change caused by El nino. Adv. Atmos. Sci. 10, 1–10 (1993). https://doi.org/10.1007/BF02656949
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DOI: https://doi.org/10.1007/BF02656949