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Based on monthly mean Simple Ocean Data Assimilation(SODA) products from 1958 to 2007,this study analyzes the seasonal and interannual variability of the North Equatorial Current(NEC) bifurcation latitude and the Indonesian Throughflow(ITF) volume transport. Further,Empirical Mode Decomposition(EMD) method and lag-correlation analysis are employed to reveal the relationships between the NEC bifurcation location,NEC and ITF volume transport and ENSO events. The analysis results of the seasonal variability show that the annual mean location of NEC bifurcation in upper layer occurs at 14.33°N and ITF volume transport has a maximum value in summer,a minimum value in winter and an annual mean transport of 7.75×106 m3/s. The interannual variability analysis indicates that the variability of NEC bifurcation location can be treated as a precursor of El Ni?o. The correlation coefficient between the two reaches the maximum of 0.53 with a time lag of 2 months. The ITF volume transport is positively related with El Ni?o events with a maximum coefficient of 0.60 by 3 months. The NEC bifurcation location is positively correlated with the ITF volume transport with a correlation coefficient of 0.43. 相似文献
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基于1979—2008年的表面漂流浮标资料,在选定区域(21°~33°N,120°~132°E)内对3个东海黑潮特征断面上的表层流速结构进行分析。选取的特征断面分别是位于台湾东北东海黑潮南段的SS断面,位于黑潮所流经东海的中央地段的PN断面和位于日本九州与奄美群岛之间的TT断面。Argos漂流浮标资料的统计结果能够较好地反映东海黑潮不同流段的主要特征及其季节变化。东海黑潮中段相对于其他流段流速强、流幅宽、流量大的特征最为显著,也最为稳定。 相似文献
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<正>为破解新增工业用地增长瓶颈,有效盘活低效用地,保障企业生产经营所需,杭州市富阳区以低效工业用地全生命周期管理服务为切口,探索“低效认定—日常监管—改造升级、合作招商、转让出租和政府收储”的低效用地“一定一管四路径”盘活新模式,将认定、监管、盘活等环节纳入全周期管理,提升土地利用效益,实现政企双方共赢。截至目前,该区第一阶段试点地块鹿山街道18宗860亩低效工业用地,预计在不新增土地规模的背景下产值及税收可提升3~5倍。 相似文献
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杭州市规划和自然资源局富阳分局坚持以习近平新时代中国特色社会主义思想为指导,深入贯彻落实党的十九大和十九届二中、三中、四中、五中全会精神,牢固树立社会主义法治理念。针对行政复议和诉讼“发案量高、败诉率高、负责人出庭率低”的问题,积极探索诉源治理多元调解纠纷机制,持续开展行政复议行政诉讼“两高一低”专项整治行动,努力将各类矛盾纠纷防范化解在源头。在案件减量以及行政争议化解方面取得了阶段性成果,促进了规划和自然资源领域社会治理体系和治理能力现代化。 相似文献
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The Argo float observations are used to investigate the mesoscale characteristics of the Antarctic Intermediate Water(AAIW) in the South Pacific in this paper. It is shown that a subsurface mesoscale phenomenon is probably touched by an Argo float during the float's ascent-descent cycles and is identified by the horizontal salinity gradient between the vertical temperature-salinity profiles. This shows that the transportation of the AAIW may be accompanied with the rich mesoscale characteristics. To derive the spatial length, time, and propagation characteristics of the mesoscale variability of the AAIW, the gridded temperature-salinity dataset ENACT/ENSEMBLE Version 3 constructed on the in-situ observations in the South Pacific since 2005 is used. The Empirical Mode Decomposition method is applied to decompose the isopycnal-averaged salinity anomaly from26.8 σθ–27.4 σθ, where the AAIW mainly resides, into the basin scale and two mesoscale modes. It is found that the first mesoscale mode with the length scale on the order of 1 000 km explains nearly 50% variability of the mesoscale characteristics of the AAIW. Its westward-propagation speeds are slower in the mid-latitude(around 1cm/s) and faster in the low latitude(around 6 cm/s), but with an increasing in the latitude band on 25°–30°S. The second mesoscale mode is of the length scale on the order of 500 km, explaining about 30% variability of the mesoscale characteristics of the AAIW. Its westward-propagation speed keeps nearly unchanged(around 0.5cm/s). These results presented the stronger turbulent motion of the subsurface ocean on the spatial scale, and also described the significant role of Argo program for the better understanding of the deep ocean. 相似文献
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<正> 昆虫是地球上数量最多的生物,据估计,地球上的昆虫种类有800万种以上,已描述过的昆虫种类有180万种,占已知动物种类的50%以上,每年还不断有众多的新种发现。尽管昆虫中的害虫危害农作物和森林植物,造成农作物减产和森林环境的破坏,卫生害虫传播疾病,给人类健康带来威胁。但这部分害虫只是昆虫 相似文献
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检验梅雨期降水的预报效果,对于提升梅雨期降水预报能力、减少梅雨期降水带来的人员伤亡和经济财产损失有着重要的意义。文章对安徽省2021年梅雨期(6月10日—7月10日)六个客观模式和一个主观订正预报产品进行了检验分析,其中包含了三个区域模式数值预报(中国气象局中尺度天气数值预报系统(简称CMA-MESO)、中国气象局上海数值预报模式系统(简称CMA-SH9)、安徽WRF)、三个全球模式数值预报(中国气象局全球同化预报系统(简称CMA-GFS)、欧洲中期天气预报中心确定性预报模式(简称ECMWF)、美国国家环境预报中心全球预报系统(简称NCEP-GFS))和安徽智能网格主观订正预报的降水产品,进行了检验分析,结果表明:传统检验中安徽智能网格和区域模式对晴雨准确率的预报效果优于全球模式,又以CMA-MESO最优;在暴雨及以上量级的强降水预报中,传统检验表明安徽智能网格预报的得分最高(23.83),ECMWF模式则是客观模式预报中效果最好的(20.12),CMA-SH9次之(19.34);通过对除安徽智能网格以外的各个客观数值模式进行的MODE空间检验可知,不同数值模式间暴雨预报误差原因不尽相同,ECMWF与各区域数值模式主要是由雨区位置的预报偏差,尤其是纬度偏差导致的,NCEP-GFS全球模式对降水强度和雨区面积的预报偏弱偏小比较明显,CMA-GFS在强降水方面的预报可参考性较差;各个主客观预报暴雨及以上量级预报,整体表现出较明显的日变化特征,在午夜前后、上午时段TS评分较高,而午后到傍晚评分较低,这个现象或许是梅雨期的午后降水多以地表太阳加热引起的短历时热对流降水为主造成的。 相似文献
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