Typhoon activity and some important parameters in the South China Sea

被引:27
作者
Haghroosta, Tahereh [1 ,2 ]
Ismail, Wan Ruslan [3 ]
机构
[1] Iranian Coastal & Marine Struct Engn Assoc, Tehran, Iran
[2] Arman Darya Res Based Corporat, Tehran, Iran
[3] Univ Sains Malaysia, Sch Humanities, Sect Geog, Minden 11800, Pulau Pinang, Malaysia
来源
WEATHER AND CLIMATE EXTREMES | 2017年 / 17卷
关键词
Typhoon; Sea surface temperature; Latent heat flux; Sensible heat flux; Precipitation rate; South China Sea; LONG-TERM VARIABILITY; SURFACE TEMPERATURE; HEAT FLUXES; ANOMALIES; OCEANS; LATENT; MODEL;
D O I
10.1016/j.wace.2017.07.002
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study aims to statistically describe temporal and spatial variations of sea surface temperature (SST), latent heat flux (LHF), sensible heat flux (SHF), and precipitation rate with typhoon activity over the South China Sea. The correlations of the parameters and their connections with the physical phenomena are clearly presented. This is fundamental to predict a typhoon's intensity and track. The effects were investigated from 1991 to 2011 based on archived data from the National Centers for Environmental Prediction and the National Center for Atmospheric Research (NCEP-NCAR) and the number of typhoons were sourced from the International Best Track Archive for Climate Stewardship (IBTrACS). The results showed that most typhoons occurred in August and September, which was related to high temperature in the summer season and the southwest monsoon in the area. The maximum mean values of SST in May and June were related to the East Asian Monsoon. The average values of LHF were highest in July, and the mean values of SHF were highest in July and August. SHF varied gradually at different months compared with LHF. In addition, the average of precipitation rate was highest in November, which can be related to the northeasterly winter monsoon. The relationships of the aforementioned parameters were obtained using Pearson's correlation analysis. Moreover, the highest and lowest mean values of the parameters in different areas were considered, and their spatial relationships were analyzed.
引用
收藏
页码:29 / 35
页数:7
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