Abstract
Seasonal prediction of Asian-Australian monsoon (A-AM) precipitation is one of the most important and challenging tasks in climate prediction. In this paper, we evaluate the performance of Grid Atmospheric Model of IAP LASG (GAMIL) on retrospective prediction of the A-AM interannual variation (IAV), and determine to what extent GAMIL can capture the two major observed modes of A-AM rainfall IAV for the period 1979–2003. The first mode is associated with the turnabout of warming (cooling) in the Niño 3.4 region, whereas the second mode leads the warming/cooling by about one year, signaling precursory conditions for ENSO.
We show that the GAMIL one-month lead prediction of the seasonal precipitation anomalies is primarily able to capture major features of the two observed leading modes of the IAV, with the first mode better predicted than the second. It also depicts the relationship between the first mode and ENSO rather well. On the other hand, the GAMIL has deficiencies in capturing the relationship between the second mode and ENSO. We conclude: (1) successful reproduction of the El Niño-excited monsoon-ocean interaction and El Niño forcing may be critical for the seasonal prediction of the A-AM rainfall IAV with the GAMIL; (2) more efforts are needed to improve the simulation not only in the Niño 3.4 region but also in the joining area of Asia and the Indian-Pacific Ocean; (3) the selection of a one-tier system may improve the ultimate prediction of the A-AM rainfall IAV. These results offer some references for improvement of the GAMIL and associated seasonal prediction skill.
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References
Adler, R. F., and Coauthors, 2003: The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present). Journal of Hydrometeorology, 4, 1147–1167.
Bengtsson, L., U. Schlese, E. Roeckner, M. Latif, T. P. Barnett, and N. E. Graham, 1993: A two-tiered approach to long-range climate forecasting. Science, 261, 1027–1029.
Cane, M. A., S. E. Zebiak, and S. C. Dolan, 1986: Experimental forecasts of El Niño. Nature, 321, 827–832.
Kanamitsu, M. W. Ebisuzaki, J. Woolen, S-K. Yang, J.J. Hnilo, M. Fiorino, and G. L. Potter,, 2002: NCEPDOE AMIP-II Reanalysis (R-2). Bull. Amer. Meteor. Soc., 83, 1631–1643.
Kim, K.-Y., 2002: Investigation of ENSO variability using cyclostationary EOFs of observational data. Meteorology and Atmospheric Physics, 81, 149–168.
Kumar, K. K., M. Hoerling, and B. Rajagopalan, 2005: Advancing Indian monsoon rainfall predictions. Geophys. Res. Lett., 32, L08704, doi:10.1029/2004GL021979.
Li, L., B. Wang, Y. Wang, and H. Wan, 2007: Improvements in climate simulation with modifications to the Tiedtke Convective Parameterization in the Grid-point Atmospheric Model of IAP LASG (GAMIL). Adv. Atmos. Sci., 24, 323–335.
Li, J., and Q. Zeng, 2003: A new monsoon index and the geographical distribution of the global monsoons. Adv. Atmos. Sci., 20, 299–302.
Meehl, G. A., 1987: The annual cycle and interannual variability in the tropical Pacific and Indian Ocean regions. Mon. Wea. Rev., 115, 27–50.
North, G. R., T. L. Bell, R. F. Cahalan, and F. J. Moeng, 1982: Sampling errors in the estimation of empirical orthogonal functions. Mon. Wea. Rev., 110, 699–706.
Rasmussen, E. M., and T. H. Carpenter, 1982: Variations in tropical sea surface temperature and surface wind fields associated with the Southern Oscillation/ El Niño. Mon. Wea. Rev., 110, 354–384.
Saji, H. N., B. N. Goswami, P. N. Vinayachandran, and T. Yamagata., 1999: A Dipole mode in the tropical Indian Ocean. Nature, 401, 360–363.
Smith, T. M., and R. W. Reynolds, 2004: Improved Extended Reconstruction of SST (1854–1997). J. Climate, 17, 2466–2477.
Sperber, K. R., and T. N. Palmer, 1996: Interannual Tropical rainfall variability in general circulation model simulations associated with the Atmospheric Model Intercomparison Project. J. Climate, 9, 2727–2750.
Tiedtke, M., 1989: A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Mon. Wea. Rev., 117, 779–800.
Wang, B., 1995: Transition from a cold to a warm state of the El Niño-Southern Oscillation cycles. Meteorology and Atmospheric Physics, 56, 17–32.
Wang, B., and S.-I. An, 2005: A method for detecting season-dependent modes of climate variability: S-EOF analysis. Geophys. Res. Lett., 32, L15710, doi:10. 1029/2005GL022709.
Wang, B., I.-S. Kang, and J.-Y. Lee, 2004a: Ensemble Simulations of Asian-Australian Monsoon Variability by 11 AGCMs. J. Climate, 17, 803–818.
Wang, B., H. Wan, Z. Ji, X. Zhang, R. Yu, Y. Yu, and H. Liu, 2004b: Design of a new dynamical core for global atmospheric models based on some efficient numerical methods. Science in China (A), 47(Suppl.), 4–21.
Wang, B., R. Wu, and T. Li, 2003: Atmosphere-Warm Ocean interaction and its impact on Asian-Australian Monsoon variation. J. Climate, 16, 1195–1211.
Weare, B. C., and J. S. Nasstrom, 1982: Examples of extended empirical orthogonal function analyses. Mon. Wea. Rev., 110, 481–485.
Webster, P. J., V. O. Magana, T. N. Palmer, J. Shukla, R. A. Tomas, M. Yanai, and T. Yasunari, 1998: Monsoons: Processes, predictability, and the prospects for prediction. J. Geophys. Res., 103, 14451–14510.
Webster, P. J., A. M. Moore, J. P. Loschnigg, and R. R. Leben, 1999: Coupled ocean-atmosphere dynamics in the Indian Ocean during 1997–1998. Nature, 401, 356–360.
Wu, R., and B. Kirtman, 2005: Roles of Indian and Pacific Ocean air-sea coupling in tropical atmospheric variability. Climate Dyn., 25, 155–170.
Yasunari, T., 1991: The monsoon year-A new concept of the climatic year in the Tropics. Bull. Amer. Meteor. Soc., 72, 1331–1338.
Zebiak, S. E., and M. A. Cane, 1987: A model El Niño southern oscillation. Mon. Wea. Rev., 115, 2262–2278.
Zhang, L., and J. Li, 2007: Seasonal rotation features of wind vectors and application to evaluate monsoon simulations in AMIP models. Clim. Dyn., DOI 10.1007/s00382-007-0327-9.
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Wu, Z., Li, J. Prediction of the Asian-Australian monsoon interannual variations with the Grid-Point atmospheric model of IAP LASG (GAMIL). Adv. Atmos. Sci. 25, 387–394 (2008). https://doi.org/10.1007/s00376-008-0387-8
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DOI: https://doi.org/10.1007/s00376-008-0387-8