A canonical ensemble correlation prediction model for seasonal precipitation anomaly

NASA Technical Memorandum

Volumn , Issue 209989, 2001, Pages

  Samuel, S ^a   Shen, P ^a   Lau, W K M ^a   Kim, K M ^a   Li, G ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 27844530736     PISSN: 04999320     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. Barnett, T.P., and R. Preisendorfer, 1987: Origins and levels of monthly and seasonal forecast skill for United States surface air temperatures determined by canonical correlation analysis. Mon. Wea. Rev., 115, 1825-1850.
2. Barnston, A.G., and T.M. Smith, 1996: Specification and prediction of global surface temperature and precipitation from global SST using CCA. J. Clim., 9, 2660-2697.
3. Chen, M., P. Xie, J.E. Janowick and P.A. Arkin, 2001: Global land precipitation: 1 50-year monthly analysis based on gauge observations. J. Hydrometeorology, submitted for publication.
4. Higgins, W., J.E. Janowiak, and Y.-P, Yao, 1996: A gridded hourly precipitation data base for the United States (1963-1993), NCEP/Climate Prediction Center ATLAS No. 1, Camp Springs, MD 20746.
5. Kim, K.-Y., and G.R. North, 1998: EOF-based linear prediction algorithm: Theory. J. Clim., 11, 3046-3056.
6. _, and _, 1999: EOF-based linear prediction algorithm: Examples. J. Clim., 12, 2076-2092.
7. Krisnamurti, T.N., C.M. Kishtawal, Z. Zhang, T. LaRow, D. Bachiochi, E. Willford, S. Gadgil, and S. Surendran, 2000: Multimodel ensemble forecasts for weather and seasonal climate. J. Clim., 23, 4196-4216.
8. Lau, K.M., and H.-T. Wu, 1999: Assessment of the impacts of the 1997-1998 El Nino on the Asian-Australia monsoon. Geophys. Res. Lett., 26, 1747-1750.
9. North, G.R., T.L. Bell, R.F. Cahalan, and F.J. Moeng, 1982: Sampling errors in the estimation of empirical orthogonal functions. Monthly Wea. Rev., 110, 699-706.
10. Ropelewski, C.F. and M.S. Halpert, 1986: North American precipitation and temperature patterns associated with El Nino/Southern Oscillation (ENSO). Mon. Wea. Rev., 114, 2352-2362.
11. Reynolds, R.W., and T.M. Smith, 1994: Improved global sea surface temperature analysis using optimum interpolation. J. Clim., 7, 929-948.
12. Shen, S.S., T.M. Smith, C.F. Ropelewski and R.E. Livezey, 1998: An optimal regional averaging method with error estimates and a test using tropical Pacific SST Data. J. Climate, 11, 2340-2350.
13. Smith T.M., R.W. Reynolds, R.E. Livezey, D.C. Stokes, 1996: Reconstruction of historical sea surface temperature using empirical orthogonal functions. J. Climate, 9, 1403-1420.
14. van den Dool, H.M., J. Hopinggarner, E. O'Lenic, A.J. Wagner, J. Huang, and R. Churchill, 1997: Second annual review of skill of CPC real time long lead prediction, Proceedings of the Twenty-Second Annual Climate Diagnostics and Prediction Workshop, Berkeley, California, pp.10-14.
15. von Storch, H., and F.W. Zwiers, Statistical Analysis in Climate Research, Cambridge University Press, 1999, Chs. 14 and 15.
16. Xue, Y., A. Leetmaa, and M. Ji, 2000: ENSO prediction with Markov models: the impact of sea level. J. Climate, 13, 849-871.