Paper
13 September 2007 On the role of western Pacific subtropical high and easterly flows from its south side in May-June precipitation over Fujian province
Yan Zou, Jinhai He, Ping Zhao, Zhangru Qiu, Yuewen Yang
Author Affiliations +
Abstract
Correlation analysis and accumulated anomaly as statistical approaches are employed to investigate the relationship between the western Pacific subtropical high (sub-high for short) and May-June precipitation (MJP) in Fujian and, moreover, NCEP/NCAR reanalysis-calculated vertical integration of transported vapor are used to make a comparative study on differences in circulation and element fields between dry and wet years for May-June in the project province. Results show that 1) the situation of the sub-high weaker than mean and southward of normal favors excessive MJP in Fujian. In dry years the western Pacific positive SSTA area that intensifies the sub-high is to the south of Japan, leading to the sub-high stronger in comparison to normal and northward of mean while in wet years the sub-high takes a more southern position due to the western Pacific 10-25°N SST higher with respect to normal; 2) in dry (wet) years SW warm, moist air is considerably weakened (reinforced) for South China including Fujian. However, the upper-level strengthened SW air-transported vapor arrives at Fujian predominantly via the turning of easterly flows from the south side of the sub-high, a new discovery worthy of further research for understanding the role of warm, wet air originating from the Bay of Bengal in MJP forecasts over the study region.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Zou, Jinhai He, Ping Zhao, Zhangru Qiu, and Yuewen Yang "On the role of western Pacific subtropical high and easterly flows from its south side in May-June precipitation over Fujian province", Proc. SPIE 6685, Assimilation of Remote Sensing and In Situ Data in Modern Numerical Weather and Environmental Prediction Models, 66850L (13 September 2007); https://doi.org/10.1117/12.732306
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KEYWORDS
Floods

Data centers

Meteorology

Control systems

Data modeling

Environmental sensing

Feature extraction

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