Dynamical Extended-Range Prediction of Early Monsoon Rainfall over India

Frédéric Vitart European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom

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Franco Molteni European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom

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Abstract

The 15-member ensembles of 46-day dynamical forecasts starting on each 15 May from 1991 to 2007 have been produced, using the ECMWF Variable Resolution Ensemble Prediction System monthly forecasting system (VarEPS-monthy). The dynamical model simulates a realistic interannual variability of Indian precipitation averaged over the month of June. It also displays some skill to predict Indian precipitation averaged over pentads up to a lead time of about 30 days. This skill exceeds the skill of the ECMWF seasonal forecasting System 3 starting on 1 June. Sensitivity experiments indicate that this is likely due to the higher horizontal resolution of VarEPS-monthly. Another series of sensitivity experiments suggests that the ocean–atmosphere coupling has an important impact on the skill of the monthly forecasting system to predict June rainfall over India.

Corresponding author address: Frédéric Vitart, European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading RG2 9AX, United Kingdom. Email: nec@ecmwf.int

Abstract

The 15-member ensembles of 46-day dynamical forecasts starting on each 15 May from 1991 to 2007 have been produced, using the ECMWF Variable Resolution Ensemble Prediction System monthly forecasting system (VarEPS-monthy). The dynamical model simulates a realistic interannual variability of Indian precipitation averaged over the month of June. It also displays some skill to predict Indian precipitation averaged over pentads up to a lead time of about 30 days. This skill exceeds the skill of the ECMWF seasonal forecasting System 3 starting on 1 June. Sensitivity experiments indicate that this is likely due to the higher horizontal resolution of VarEPS-monthly. Another series of sensitivity experiments suggests that the ocean–atmosphere coupling has an important impact on the skill of the monthly forecasting system to predict June rainfall over India.

Corresponding author address: Frédéric Vitart, European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading RG2 9AX, United Kingdom. Email: nec@ecmwf.int

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  • Adler, S. G., and Coauthors, 2003: The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present). J. Hydrometeor., 4 , 11471167.

    • Search Google Scholar
    • Export Citation
  • Anderson, D., and Coauthors, 2007: Seasonal forecasting system 3. ECMWF Tech. Memo. 503, 58 pp.

  • Annamalai, H., P. Liu, and S-P. Xie, 2005: Southwest Indian Ocean SST variability: Its local effect and remote influence on Asian monsoons. J. Climate, 18 , 41504167.

    • Search Google Scholar
    • Export Citation
  • Balmaseda, M. A., A. Vidard, and D. L. T. Anderson, 2008: The ECMWF Ocean Analysis System: ORA-S3. Mon. Wea. Rev., 136 , 30183034.

  • Bernie, D. J., S. J. Woolnough, J. M. Slingo, and E. Guilyardi, 2005: Modeling diurnal and intraseasonal variability. J. Climate, 18 , 11901202.

    • Search Google Scholar
    • Export Citation
  • Buizza, R., and T. N. Palmer, 1995: The singular-vector structure of the atmospheric general circulation. J. Atmos. Sci., 52 , 14341456.

    • Search Google Scholar
    • Export Citation
  • Buizza, R., M. Miller, and T. N. Palmer, 1999: Stochastic representation of model uncertainties in the ECMWF Ensemble Prediction System. Quart. J. Roy. Meteor. Soc., 125 , 28872908.

    • Search Google Scholar
    • Export Citation
  • Efron, N., 1981: Nonparametrics estimates of standard error: The jackknife, the bootstrap, and other methods. Biometrika, 68 , 589599.

    • Search Google Scholar
    • Export Citation
  • Fu, X., and B. Wang, 2004a: Differences of boreal summer intraseasonal oscillations simulated in an atmosphere–ocean coupled model and an atmosphere-only model. J. Climate, 17 , 12631271.

    • Search Google Scholar
    • Export Citation
  • Fu, X., and B. Wang, 2004b: The boreal summer intraseasonal oscillations simulated in a hybrid coupled atmosphere–ocean model. Mon. Wea. Rev., 132 , 26282649.

    • Search Google Scholar
    • Export Citation
  • Fu, X., B. Wang, T. Li, and J. P. McCreary, 2003: Coupling between northward propagation intraseasonal oscillations and sea surface temperature in the Indian Ocean. J. Atmos. Sci., 60 , 17331753.

    • Search Google Scholar
    • Export Citation
  • Gadgil, S., M. Rajeevan, and R. Nanjundiah, 2005: Monsoon prediction—Why yet another failure? Curr. Sci., 88 , 13891400.

  • Kang, I-S., and J. Shukla, 2006: Dynamical seasonal prediction and predictability of the Asian monsoon. The Asian Monsoon, B. Wang, Ed., Springer-Praxis, 585–612.

    • Search Google Scholar
    • Export Citation
  • Kawamura, R., Y. Fukuta, H. Ueda, T. Matsuura, and S. Iizuka, 2002: A mechanism of the onset of the Australian summer monsoon. J. Geophys. Res., 107 , 4204. doi:10.1029/2001JD001070.

    • Search Google Scholar
    • Export Citation
  • Kucharski, F., A. Bracco, J. H. Yoo, and F. Molteni, 2008: Atlantic forced component of the Indian monsoon interannual variability. Geophys. Res. Lett., 35 , L04706. doi:10.1029/2007GL033037.

    • Search Google Scholar
    • Export Citation
  • Large, W. G., J. C. Mc Williams, and S. C. Doney, 1994: Oceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization. Rev. Geophys., 32 , 363403.

    • Search Google Scholar
    • Export Citation
  • Molteni, F., F. Vitart, T. Stockdale, L. Ferranti, and M. Balmaseda, 2008: Predictions of tropical rainfall with the ECMWF seasonal and monthly forecast systems. Proc. Workshop on Ensemble Prediction, Reading, United Kingdom, ECMWF. [Available online at http://www.ecmwf.int/publications/library/ecpublications/_pdf/workshop/2007/Ensemble_prediction/Molteni.pdf.].

  • Puri, K., J. Barkmeijer, and T. N. Palmer, 2001: Tropical singular vectors computed with linearised diabatic physics. Quart. J. Roy. Meteor. Soc., 127 , 709737.

    • Search Google Scholar
    • Export Citation
  • Rajeevan, M., J. Bhate, J. D. Kale, and B. Lal, 2006: High resolution daily gridded rainfall data for the Indian region: Analysis of break and active monsoon spells. Curr. Sci., 91 (3) 296306.

    • Search Google Scholar
    • Export Citation
  • Rajendran, K., and A. Kitoh, 2006: Modulation of tropical intraseasonal oscillations by ocean–atmosphere coupling. J. Climate, 19 , 366391.

    • Search Google Scholar
    • Export Citation
  • Rajendran, K., A. Kitoh, and O. Arakawa, 2004: Monsoon low-frequency intraseasonal oscillation and ocean-atmosphere coupling over the Indian Ocean. Geophys. Res. Lett., 31 , L02210. doi:10.1029/2003GL019031.

    • Search Google Scholar
    • Export Citation
  • Reynolds, R. W., N. A. Rayner, T. M. Smith, D. C. Stokes, and W. Wang, 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15 , 16091625.

    • Search Google Scholar
    • Export Citation
  • Shen, X., and M. Kimoto, 1999: Influence of El Niño on the 1997 Indian Summer Monsoon. J. Meteor. Soc. Japan, 77 , 10231037.

  • Shinoda, T., 2005: Impact of the diurnal cycle of solar radiation on intraseasonal variability in the western equatorial Pacific. J. Climate, 18 , 26282636.

    • Search Google Scholar
    • Export Citation
  • Shinoda, T., and H. H. Hendon, 1998: Mixed layer modeling of the intraseasonal variability in the tropical western Pacific and Indian Oceans. J. Climate, 11 , 22682285.

    • Search Google Scholar
    • Export Citation
  • Slingo, J. M., and H. Annamalai, 2000: The El Niño of the century and the response of the Indian summer monsoon. Mon. Wea. Rev., 128 , 17781797.

    • Search Google Scholar
    • Export Citation
  • Someshwar Das, A., K. Mitra, G. R. Iyengar, and J. Singh, 2002: Skill of medium-range forecasts over the Indian monsoon region using different parameterizations of deep convection. Wea. Forecasting, 17 , 11941210.

    • Search Google Scholar
    • Export Citation
  • Sperber, K. R., and Coauthors, 2001: Dynamical seasonal predictability of the Asian summer monsoon. Mon. Wea. Rev., 129 , 22262247.

  • Terray, L., E. Sevault, E. Guilyardi, and O. Thual, 1995: The OASIS coupler user guide version 2.0. CERFACS Tech. Rep. TR-CMGC 95-46, 123 pp.

    • Search Google Scholar
    • Export Citation
  • Uppala, S., and Coauthors, 2005: The ERA-40 reanalysis. Quart. J. Roy. Meteor. Soc., 131 , 29613012.

  • Vialard, J., F. Vitart, M. A. Balmaseda, T. N. Stockdale, and D. L. T. Anderson, 2005: An ensemble generation method for seasonal forecasting with an ocean–atmosphere coupled model. Mon. Wea. Rev., 133 , 441453.

    • Search Google Scholar
    • Export Citation
  • Vitart, F., 2004: Monthly forecasting at ECMWF. Mon. Wea. Rev., 132 , 27612779.

  • Vitart, F., and Coauthors, 2008: The new VAREPS-monthly forecasting system: A first step towards seamless prediction. Quart. J. Roy. Meteor. Soc., 134 , 17891799.

    • Search Google Scholar
    • Export Citation
  • Webster, P. J., and C. Hoyos, 2004: Forecasting monsoon rainfall and river discharge variability on 20–25-day time scales. Bull. Amer. Meteor. Soc., 85 , 17451765.

    • Search Google Scholar
    • Export Citation
  • Wolff, J. O., E. Maier-Raimer, and S. Legutke, 1997: The Hamburg ocean primitive equation model. Deutsches Klimarechenzentrum Tech. Rep. 13, Hamburg, Germany, 98 pp.

    • Search Google Scholar
    • Export Citation
  • Woolnough, S. J., F. Vitart, and M. A. Balmaseda, 2007: The role of the ocean in the Madden-Julian Oscillation: Implications for MJO prediction. Quart. J. Roy. Meteor. Soc., 133 , 117128.

    • Search Google Scholar
    • Export Citation
  • Xavier, P. K., and B. N. Goswami, 2007: A promising alternative to prediction of seasonal mean all India rainfall. Curr. Sci., 93 , 195202.

    • Search Google Scholar
    • Export Citation
  • Yasunari, T., 1980: A quasi-stationary appearance of 30 to 40 day period in the cloudiness fluctuations during the summer monsoon over India. J. Meteor. Soc. Japan, 58 , 225229.

    • Search Google Scholar
    • Export Citation
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