The interdecadal variations of the summer monsoon rainfall over South China

This paper is to promote a further understanding of the interdecadal variations of the summer monsoon rainfall over South China (SCMR). With this focus, we will specifically aim at better understanding possible mechanism responsible for such an interdecadal variation relationship between the SCMR an...

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Bibliographic Details
Published in:Meteorology and atmospheric physics 2006-08, Vol.93 (3-4), p.165-175
Main Authors: ZHOU, W, LI, C, CHAN, J. C. L
Format: Article
Language:English
Subjects:
Atmosphere
Earth, ocean, space
El Nino
Exact sciences and technology
External geophysics
Meteorology
Monsoons
Rain
Rainfall measurement
Sea surface temperature
Southern Oscillation
Summer
Water in the atmosphere (humidity, clouds, evaporation, precipitation)
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Summary:This paper is to promote a further understanding of the interdecadal variations of the summer monsoon rainfall over South China (SCMR). With this focus, we will specifically aim at better understanding possible mechanism responsible for such an interdecadal variation relationship between the SCMR and El Nino/Southern Oscillation (ENSO). In many of the previous studies on precipitation, the datasets used are satellite observations or gridded reanalyzed data due to the lack of long-term reliable observations over the marginal seas of the Asian continent. Such an approach could lead to possible errors in the results. In this work, several representative stations with long-term rain-gauge observations are chosen to reduce such uncertainty. The study of the interdecadal variabilities of SCMR indicates that there is a strong linkage between SCMR and ENSO on the interdecadal variations. These results agree well with those from previous studies that the Pacific Decadal Oscillation (PDO) and ENSO are not independent of each other, the interannual and interdecadal variations of tropical Pacific Sea Surface temperatures (SSTs) could affect the interdecadal variations of the SCMR, and the incorporating information on the PDO/ENSO could improve the long-term prediction of the SCMR. [PUBLICATION ABSTRACT]
ISSN:0177-7971
1436-5065
DOI:10.1007/s00703-006-0184-9