�������������гģ�͵ķֲ㹹��ͷ���

???????г????????????????????????????????????????????г????????????32°N~34°N??102°E~104°E?????????????EGM2008?????????????????????г?????????????????????????????????????????????????????г???????????????????С??0.5×10^-5 ms^-2??????????????????0.71°????????????????±4.65×10^-5 ms^-2??     

2013-06����ƽ��С��Ⱥ���������̽��

2013-06~07??????????3?????????????С??????????п???????У???????????????????????????????????????????????????????????????????????????????????????????????????????????(ETAS???)??????????????????????崥???????????????й???????????????????     

�Ͷ�Ms5.1��������о�

?????????????е??о??????????Ms5.1????????????????????????Ρ?????????????????????????????NEE????????????????????????????????????????5~7 km??????????λ????????????????????????о?????ж?,???Ms5.1??????????λ??????????????????????????????????????     

����CRUST1.0���й���½��������ʯȦ�ṹ���㼰��������

???????·?????CRUST1.0???????????1D?????????????????????????????????????????????????????й???????????????????й???????????????????????????????????????????????????????????????????????????????????????????????????￡????ж????????????????????????????????????????????????????????????????????????????о???????й??????????????????????????????????????й????????????????????????????????????????     

Variability of tropical cyclone in high frequent occurrence regions over the western North Pacific

In this study, three high frequent occurrence regions of tropical cyclones(TCs), i.e., the northern South China Sea(the region S), the south Philippine Sea(the region P) and the region east of Taiwan Island(the region E), are defined with frequency of TC's occurrence at each grid for a 45-year period(1965–2009), where the frequency of occurrence(FO) of TCs is triple the mean value of the whole western North Pacific. Over the region S, there are decreasing trends in the FO of TCs, the number of TCs' tracks going though this region and the number of TCs' genesis in this region. Over the region P, the FO and tracks demonstrate decadal variation with periods of 10–12 year, while over the region E, a significant 4–5 years' oscillation appears in both FO and tracks. It is demonstrated that the differences of TCs' variation in these three different regions are mainly caused by the variation of the Western Pacific Subtropical High(WPSH) at different time scales. The westward shift of WPSH is responsible for the northwesterly anomaly over the region S which inhibits westward TC movement into the region S. On the decadal timescale, the WPSH stretches northwestward because of the anomalous anticyclone over the northwestern part of the region P, and steers more TCs reaching the region P in the greater FO years of the region P. The retreating of the WPSH on the interannual time scale is the main reason for the FO's oscillation over the region E.     

Effects of sulfate chitosan derivatives on nonalcoholic fatty liver disease

Sulfate chitosan derivatives have good solubility and therapeutic effect on the cell model of NAFLD. The aim of this study was to examine the therapeutic effect of sulfate chitosan derivatives on NAFLD. The male Wistar rats were orally fed high fat emulsion and received sulfate chitosan derivatives for 5 weeks to determine the pre-treatment effect of sulfate chitosan derivatives on NAFLD. To evaluate the therapeutic effect of sulfate chitosan derivatives on NAFLD, the rats were orally fed with high concentration emulsion for 5 weeks, followed by sulfate chitosan derivatives for 3 weeks. Histological analysis and biomedical assays showed that sulfate chitosan derivatives can dramatically prevent the development of hepatic steatosis in hepatocyte cells. In animal studies, pre-treatment and treatment with sulfate chitosan derivatives significantly protected against hepatic steatohepatitis induced by high fat diet according to histological analysis. Furthermore, increased TC, ALT, MDA, and LEP in NAFLD were significantly ameliorated by pre-treatment and treatment with sulfate chitosan derivatives. Furthermore, increased TG, AST, and TNF-α in NAFLD were significantly ameliorated by treatment with sulfate chitosan derivatives. Sulfate chitosan derivatives have good pre-treatment and therapeutic effect on NAFLD.     

长三角盛夏—初秋强降水的延伸期过程预报探析

针对长三角汛期强降水过程,根据不同降水类型的特性,提出分时段建立低频模型并给出建模流程。综合分析长三角汛期强降水期的低频特性,将低频气旋及反气旋区分划分7个关键区。重点研究盛夏—初秋时段的强降水特征,在总结强降水期低频特征的基础上,借助EOF分解建立延伸期大—暴雨的预报模型:1区或2区有低频气旋维持并发展;6区、7区或5区存在低频反气旋。并且在7个关键区中1、2区的低频气旋及5、6、7区的低频反气旋为主要低频系统,起决定作用,而3区的低频系统为次要低频系统,起辅助作用。利用该模型提前30 d预报出2012年汛期最强降水过程,并分析本次过程的低频系统演变,给出动态演变模型。     

A Numerical Verification of Self-Similar Multiplicative Theory for Small-Scale Atmospheric Turbulent Convection

The self-similar multiplicative theory（SSM theory）, aims to interpret the scaling behavior of the temperature structure function. In the present paper, the author report results from a numerical simulation of atmospheric turbulent convection in order to verify this theory. The simulation was based on a shell model which was deduced from simplified atmospheric convection equations. The numerical results agreed well with the theory prediction of scaling law from the first order to the eighth order. They also showed that the prediction of this theory was better than that given by the Kolmogorov＇s theory in 1941, log-normal, and β model theories.     

Effect of Decadal Changes in Air-Sea Interaction on the Climate Mean State over the Tropical Pacific

Collaboration of interannual variabilities and the climate mean state determines the type of E1 Nifio. Recent studies highlight the impact of a La Nifia-like mean state change, which acts to suppress the convection and low-level convergence over the central Pacific, on the predominance of central Pacific （CP） E1 Nifio in the most recent decade. However, how interannual variabilities affect the climate mean state has been less thoroughly investigated. Using a linear shallow-water model, the ef- fect of decadal changes of air-sea interaction on the two types of El Nifio and the climate mean state over the tropical Pacific is examined. It is demonstrated that the predominance of the eastem Pacific （EP） and CP E1 Nino is dominated mainly by relationships between anomalous wind stresses and sea surface temperature （SST）. Furthermore, changes between air-sea interactions from 1980-98 to 1999-2011 prompted the generation of the La Ninalike pattern, which is similar to the background change in the most recent decade.     

基于GIS的广东冬种辣椒气候适宜性区划

基于广东省86个气象站1980-2012年气候资料和1991-2010年冬季寒害灾情资料,采用冬季(12月一翌年2月)≥15℃有效积温作为冬种辣椒的气候资源指标,选取寒害过程中最低气温＜10℃的天数、日最低气温＜10.0℃积寒量构建冬种辣椒的寒害风险指标,完善了冬种辣椒的种植气候适宜性指标.构建指标的空间分析模型,采用ArcGIS的空间分析和多层复合方法,对广东冬种辣椒的气候适宜性进行了区域划分.结果表明,冬种辣椒的气候最适宜种植区主要分布在雷州半岛、茂名、阳江等地区,适宜种植区主要分布在南部沿海地区和中部偏南地区,次适宜种植区主要分布在中部偏北地区和北部偏南地区,不适宜种植区主要分布在肇庆、清远、韶关、河源及梅州等地的北部.