A physically-based statistical forecast model for the middle-lower reaches of the Yangtze River Valley summer rainfall |
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Authors: | Ke Fan HuiJun Wang Young-Jean Choi |
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Institution: | [1]Nansen-Zhu Intemational Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China [2]Meteorological Research Institute, Korea Meteorological Administration, Seoul, Korea |
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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.
Supported the National Natural Science Foundation of China (Grant Nos. 40631005, 40620130113 and 40523001) and the “Korea
Enhanced Observing Program of Meiyu Project” |
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Keywords: | year-to-year increment Yangtze River Valley summer precipitation prediction model prediction skill |
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