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| GAIM电离层同化方法进展 | |
| 引用本文： | 黄珹,郭鹏,洪振杰,严豪健,胡小工,丁金才,张训械.GAIM电离层同化方法进展[J].天文学进展,2007,25(3):236-248. |
| 作者姓名： | 黄珹 郭鹏 洪振杰 严豪健 胡小工 丁金才 张训械 |
| 作者单位： | 1. 中国科学院,上海天文台,上海,200030 2. 中国科学院,上海天文台,上海,200030;温州大学,温州,325027 3. 上海中心气象台,上海,200030 4. 中国科学院,武汉数学与物理研究所,武汉,430071 |
| 基金项目： | 国家自然科学基金;浙江省自然科学基金;温州科技计划项资助项目 |
| 摘 要： | 电离层是复杂的空间层结,其变化受太阳活动强度、地球磁场等因素影响。随着空间技术发展的需求,电离层天气变化成为目前空间天气预报最重要的内容之一。最近10年,人们利用卫星在电离层观测方面取得了重大进展,尤其引人注意的是:无线电掩星观测技术正走向应用的新阶段,加上已经建立的全球大量的地基GPS观测网,它们不仅为电离层动力学模式研究提供了丰富的电离层资料,而且为电离层预报提供了很好基础。因此,电离层天气预报成为当前重要的、前瞻性的研究方向,电离层资料同化是电离层预报最重要的研究内容之一。该文系统介绍这方面国际动态,重点是美国的USC/JPL和犹他州大学开展全球电离层同化模型研究、全球电离层同化研究的进展,以及在电离层天气预报中应用的初步成果。 |
| 关 键 词： | 天体测量学 电离层 综述 同化模型 四维变分 卡尔曼滤波 |
| 文章编号： | 1000-8349（2007）03-0236-13 |
| 收稿时间： | 2006-05-18 |
| 修稿时间： | 2006-12-12 |
Progress in the Study on GAIM Assimilative Ionospheric Method |
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| HUANG Cheng,GUO Peng,HONG Zhen-jie,YAN Hao-jian,HU Xiao-gong,DING Jin-cai,ZHANG Xun-xie.Progress in the Study on GAIM Assimilative Ionospheric Method[J].Progress In Astronomy,2007,25(3):236-248. | |
| Authors: | HUANG Cheng GUO Peng HONG Zhen-jie YAN Hao-jian HU Xiao-gong DING Jin-cai ZHANG Xun-xie |
| Abstract: | Ionosphere is a complex and dynamic space medium which is dominated by solar activity level,earth magnetic field factor etc.With the demand of the space technique develop- ment,the ionospheric weather change is now becoming a significant branch of the space weather forecast.Scientists have made much progress in ionosphere researches via the satellite technique in the past decade.Especially,the maturation and development of the global ground-based GPS observation networks and the spaceborne GPS radio occultation technique have provided abun- dant ionospheric measurements for study of the ionospheric dynamical model,which will become a foundation for the ionospheric forecast.Nowadays,the ionospheric weather forecast is becoming a prospective research aspect,and ionospheric data assimilation forms a main topic in the iono- spheric weather forecast.This paper introduces the international trend of these aspects in detail. The main attention is paid to the Global Assimilative Ionospheric Model developed by a joint team of University of Southern California and Jet Propulsion Laboratory and that by Utah State University respectively,the progress in the study on the global ionospheric data assimilation,and the preliminary results in application of ionospheric weather forecast. |
| Keywords: | astrometry ionosphere review data assimilation 4DVAR Kalman filter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |