计算域的选取对风暴潮数值模拟的影响   总被引：3，自引：1，他引：3  

王秀芹  钱成春  王伟 《中国海洋大学学报(自然科学版)》2001,31(3):319-324

作者以 72 0 3号台风过程中引起的黄海沿岸水文测站的风暴潮过程为例 ,选取不同计算域 ,模拟计算的同一测站的风暴潮增水值有很大差异。只有选取整个黄渤海海域 ,才能得到较精确的风暴潮增水结果。从而揭示在封闭或半封闭海域中由风暴过程激发的区域自由振荡 ,是风暴潮增水中不容忽视的量。说明该海域中的风暴潮过程是海域整体效应的响应 ,因此认为数值模拟中计算域应选取整个封闭或半封闭海域  相似文献   

山东省近50年海洋气象灾害特征分析   总被引：3，自引：0，他引：3  

刘敦训 《海洋预报》2006,23(1):59-64

本文通过大量的文献和资料查阅,系统的统计分析了近50a山东省沿海及责任海区海雾、风暴潮、风暴海浪、海冰等几种主要海洋气象灾害的海洋、气象及分布特征和灾害情况,进一步分析了它们的变化规律和产生原因,为海洋气象业务、服务、科研提供有益的参考。  相似文献   

湛江港风暴增水特征分析     

陈奕德  董兆俊  蒋国荣  罗坚 《海洋预报》2002,19(3):44-52

本文在统计1950－1997年影响湛江港的热带气旋的基础上，利用1953－1982年30年间湛江港发生的风暴增水的资料，对湛江港风暴增水的总体特征进行了分析，总结出湛江港风暴增水的特征在于季节分布的不均匀、大的正增水和高实测水位出现频繁、造成的风暴潮灾比较严重；通过两类典型风暴潮的详细分析，结果表明：湛江港的风暴增水与影响湛江的热带气旋密切相关，大的风暴增水主要由台风引起，湛江港的地理位置也是影响风暴增水的重要因子。  相似文献   

青岛地区的台风暴潮与潮灾   总被引：3，自引：0，他引：3  

李培顺 《海洋预报》1994,11(4):47-51

本文分析了青岛沿海地区的台风暴潮灾害状况，给出了潮位与海浪的联合作用对灾的影响关系式，提出了今后风暴潮预报的思路。  相似文献   

杰氏风暴潮预报方法在珠海及粤西海域的应用     

魏晓宇  窦金来  黄根华  周求赞  陈强  王欣睿 《台湾海峡》2007,26(2):197-203

本文通过杰氏风暴潮预报方法对历史上给珠海和粤西海域造成较大影响的台风增水事件进行后报试验,并通过统计分析方法对原有的预报公式进行订正,总结出适合珠海及粤西海域的风暴潮预报公式.利用5a的时间对珠海及粤西海域的台风增水进行试报,结果表明预报准确率分别达95.0%和87.6%,尤其对一些增水较大、影响较严重的台风增水预报相对更加准确,预报准确率均达90.0%以上.这说明订正后的公式对珠海及粤西海域的风暴潮预报能得到较好的预报效果.  相似文献   

地形变化对青岛地区风暴潮灾影响的一次模拟   总被引：3，自引：0，他引：3  

江文胜  孙文心 《海洋预报》2002,19(1):97-104

本文以8509台风为例，模拟了因地形变化而对青岛地区风暴潮灾的影响。结果显示，如果胶州湾口外局部地形变深，在8509台风的情况下，风暴增水会造成一定程度的增加，而且对底层风暴潮流会造成更大的影响。  相似文献   

9810号台风期间厦门近岸海域磷的分布特征   总被引：1，自引：0，他引：1  

吴国琳  杨逸萍 《台湾海峡》2001,20(1):84-90

于1998年10号台风期间及台风解除后一周内，对九龙江口和西海域表层水中总磷（TP）、溶解态无机磷（DIP）、溶解态有机磷（DOP）、颗粒态磷（PP）、颗粒态无机磷（PIP）和颗粒态有机磷（POP）进行了为期9d（10月26日至11月3日）的现场观测。根据观测结果，讨论了台风对上述各形态磷的分布特征的影响，认为台风伴随的增水、入海径流量的骤增和底质再悬浮的加剧导致表层水体中各形态磷含量的短期增加。  相似文献   

GPS单频精密单点定位方法与实践     

邰贺  张小红  张明  陈远  叶聪云 《测绘信息与工程》2008,33(3):1-3

讨论了单频精密单点定位的解算方法与思路,编写了单频精密动态单点定位的程序,实现了事后动态单频精密单点定位.  相似文献   

GPS observations of the ionospheric F2-layer behavior during the 20th November 2003 geomagnetic storm over South Korea   总被引：4，自引：1，他引：3  

Shuanggen Jin  O. F. Luo  P. Park 《Journal of Geodesy》2008,82(12):883-892

The ionospheric F2-layer peak density (NmF2) and its height (hmF2) are of great influence on the shape of the ionospheric electron density profile Ne (h) and may be indicative of other physical processes within the ionosphere, especially those due to geomagnetic storms. Such parameters are often estimated using models such as the semiempirical international reference ionosphere (IRI) models or are measured using moderately priced to expensive instrumentation, such as ionosondes or incoherent scatter radars. Global positioning system (GPS) observations have become a powerful tool for mapping high-resolution ionospheric structures, which can be used to study the ionospheric response to geomagnetic storms. In this paper, we describe how 3-D ionospheric electron density profiles were produced from data of the dense permanent Korean GPS network using the tomography reconstruction technique. These profiles are verified by independent ionosonde data. The responses of GPS-derived parameters at the ionospheric F2-layer to the 20th November 2003 geomagnetic storm over South Korea are investigated. A fairly large increase in the electron density at the F2-layer peak (the NmF2) (positive storm) has been observed during this storm, which is accompanied by a significant uplift in the height of the F2 layer peak (the hmF2). This is confirmed by independent ionosonde observations. We suggest that the F2-layer peak height uplift and NmF2 increase are mainly associated with a strong eastward electric field, and are not associated with the increase of the O/N₂ ratio obtained from the GUVI instruments aboard the TIMED satellite. It is also inferred that the increase in NmF2 is not caused by the changes in neutral composition, but is related to other nonchemical effects, such as dynamical changes of vertical ion motions induced by winds and E × B drifts, tides and waves in the mesosphere/lower thermosphere region, which can be dynamically coupled upward to generate ionospheric perturbations and oscillations.  相似文献   

The ionospheric eclipse factor method (IEFM) and its application to determining the ionospheric delay for GPS   总被引：4，自引：1，他引：3  

Y. Yuan  C. C. Tscherning  P. Knudsen  G. Xu  J. Ou 《Journal of Geodesy》2008,82(1):1-8

A new method for modeling the ionospheric delay using global positioning system (GPS) data is proposed, called the ionospheric eclipse factor method (IEFM). It is based on establishing a concept referred to as the ionospheric eclipse factor (IEF) λ of the ionospheric pierce point (IPP) and the IEF’s influence factor (IFF) . The IEF can be used to make a relatively precise distinction between ionospheric daytime and nighttime, whereas the IFF is advantageous for describing the IEF’s variations with day, month, season and year, associated with seasonal variations of total electron content (TEC) of the ionosphere. By combining λ and with the local time t of IPP, the IEFM has the ability to precisely distinguish between ionospheric daytime and nighttime, as well as efficiently combine them during different seasons or months over a year at the IPP. The IEFM-based ionospheric delay estimates are validated by combining an absolute positioning mode with several ionospheric delay correction models or algorithms, using GPS data at an international Global Navigation Satellite System (GNSS) service (IGS) station (WTZR). Our results indicate that the IEFM may further improve ionospheric delay modeling using GPS data.  相似文献