Chinese Science Bulletin

, Volume 53, Issue 4, pp 602–609

A physically-based statistical forecast model for the middle-lower reaches of the Yangtze River Valley summer rainfall

Articles Atmospheric Sciences

DOI: 10.1007/s11434-008-0083-1

Cite this article as:
Fan, K., Wang, H. & Choi, YJ. Chin. Sci. Bull. (2008) 53: 602. doi:10.1007/s11434-008-0083-1

Abstract

A new approach to forecast the middle-lower reaches of the Yangtze River Valley summer rainfall in June–August (JJA) is proposed in this paper. The year-to-year increment of the middle-lower reaches of the Yangtze River Valley is forecasted and hence the summer precipitation could be predicted. In this paper, DY is defined as the difference of a variable between the current year and the preceding year (year-to-year increment). YR denotes the seasonal mean precipitation rate of the middle-lower reaches of the Yangtze River Valley summer rainfall. After analyzing the atmospheric circulation anomalies in winter and spring that were associated with the DY of YR, six key predictors for the DY of YR have been identified. Then the forecast model for the DY of YR is established by using the multi-linear regression method. The predictors for the DY of YR are Antarctic Oscillation, the meridional wind shear between 850hPa and 200hPa over the Indo-Australian region, and so on. The prediction model shows a high skill for the hindcast during 1997–2006, with the average relative root mean square error is at 18%. The model can even reproduce the upward and downward trends of YR during 1984–1998 and 1998–2006. Considering that the current operational forecast models of the summer precipitation over the China region have the average forecast scores at 60%–70% and that the prediction skill for the middle-lower reaches of Yangtze River Valley summer precipitation remains quite limited up to now, thus this new approach to predict the year-to-year increment of the summer precipitation over the Yangtze River Valley (and hence the summer precipitation itself) has the potential to significantly increase the operational forecast skill of the summer precipitation.

Keywords

year-to-year increment Yangtze River Valley summer precipitation prediction model prediction skill 

Copyright information

© Science in China Press 2008

Authors and Affiliations

  1. 1.Nansen-Zhu International Research Center, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  2. 2.Meteorological Research InstituteKorea Meteorological AdministrationSeoulKorea

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