DUAN Xiao-mei,CAO Yun-chang,MA Shang-chang.Error Analysis of Inversion of Atmospheric Precipitable Water Vapor by Measured and Forecast of Ultra-rapid Ephemeris[J].Journal of Chengdu University of Information Technology,2017,(06):577-583.[doi:10.16836/j.cnki.jcuit.2017.06.001]
超快速星历的实测信息和预报信息 反演大气可降水量的误差分析
- Title:
- Error Analysis of Inversion of Atmospheric Precipitable Water Vapor by Measured and Forecast of Ultra-rapid Ephemeris
- 文章编号:
- 2096-1618(2017)06-0577-07
- Keywords:
- meteorological detection technology; PWV; IGU ephemeris; orbit error; GPS; water vapor detection
- 分类号:
- TN967.1
- 文献标志码:
- A
- 摘要:
- 在近实时观测水汽中,需要精确的卫星星历文件。为了确定IGU的实测星历和预报星历对PWV的误差影响,采用陆态网2016年GPS站点的观测数据和GAMIT软件,利用从IGS中心下载IGU的实测星历和预报星历分别反演PWV,并以精度最高的IGF为标准,确定二者对PWV的影响。结果表明:IGU的实测星历和预报星历的轨道误差为4.5 cm,造成PWV的误差约为0.09 mm,用两种方法反演的PWV在均方差上都小于0.3 mm,平均偏差不超过0.06 mm,相关系数达到99%,说明IGU的实测PWV和预报PWV在变化上有很好的一致性。以IGF为标准,最终星历和IGU实测星历的均方根误差约为0.327 mm,与IGU预报星历的均方根误差约为0.16 mm,使用实测星历比预报星历误差增大0.167 mm,差别不大,对PWV的结果影响较小,表明使用IGU的实测星历和预报星历可以满足近实时遥测水汽的需求。
- Abstract:
- Accurate satellite ephemeris files are needed in the NRT water vapor remote sensing. In this paper, in order to determine the influence of measured and forecast of IGU ephemeris on the error of PWV, the observed data from Terrestrial GPS network were processed by using the GAMIT software and the PWV is retrieved respectively by using the measured and predicted ephemeris files downloaded from IGS website, and the highest accuracy of IGF is used as the standard to determine the impact of the IGU on the PWV error. The results show that the orbit error of the measured and the predicted IGU ephemeris is 4.5 cm, resulting in PWV error of about 0.09 mm.The mean square error of the PWV retrieved by the measured and predicted IGU ephemeris is less than 0.3 mm, and the average deviation is not more than 0.06 mm. Moreover, the correlation coefficient is 99%, which indicates that the measured PWV and forecast PWV have a great consistency on the changing trend. Based on the IGF, the mean square error of atmospheric precipitation is about 0.327 mm and 0.16 mm by using the measured and predicted of IGU ephemeris respectively, which has little effect on PWV results. Therefore, the IGU ephemeris can meet the requirement of GPS NRT water vapor remote sensing.
参考文献/References:
[1] G Guerova,J Jones,J Dousa,et al.Review of the state-of-the-art and future prospects of the ground-based GNSS meteorology in Europe[J].Atmospheric Measurement Techniques,2016,9(11):125.
[2] 曹云昌,方宗义,夏青.轨道误差对近实时GPS遥感水汽的影响研究[J].气象科技,2004,32(4):229-232.
[3] 李成才,毛节泰,李建国,等.全球定位系统遥感水汽总量[J].科学通报,1999,44(3):333-336.
[4] 张云涛,程伯辉,白征东,等.应用GAMIT软件处理卫星定位数据大气水汽方法的研究[J].导航定位学报,2014,2(1):30-33.
[5] 王志强,李军.GAMIT使用指南[J].全球定位系统.2002,27(2).
[6] 李征航,丁文武,李昭.GPS广播星历的轨道误差分析[J].大地测量与地球动力学,2008,28(1):50-54.
[7] 刘旭春,张正禄,张鹏,等.GPS反演大气综合水汽含量的影响因素分析[J].测绘科学,2007,32(2):21-23.
[8] Choi K K, Ray J, Griffiths J, et al.Evaluation of GPS orbit prediction strategies for the IGS ultra-rapid products[J].GPS Solutions, 2013,17(3):403-412.
[9] 姜英明,郭金运,高士民,等.区域CORS数据自动处理系统[J].全球定位系统,2016,41(5):117-121.
[10] 韦丽英,赵建吉.GPS测量水汽简介及建站要求[J]. 广西气象,2006,27(3):73-74.
[11] 付琦琼,李巾,张瑛. GPS水汽资料在江西强对流天气预报中的初步应用[J]. 气象与减灾研究,2011,34(3):36-40.
[12] Elgered G,Divis J L,Herring T A,et al.Geodesy by radio interferometry:water vapor radiometry for estimation of the wet delay[J].Res Geophys,1991,96(B4):6541-6555.
[13] Bevis M,Businger S,Chiswell S R,et al. 1994. GPS meteorology:Mapping zenith wet delays onto precipitable water[J]. J Appl Meteor,33:379-386.
[14] 李建国,毛节泰,李成才,等.使用全球定位系统遥感水汽分布原理和中国东部地区加权“平均温度”的回归分析[J]. 气象学报,1999,57(3):283-292.
[15] 高旺,高成发,潘树国,等.基于快速星历的GAMIT高精度基线解算研究[J].测绘科学,2015,40(2):22-25.
[16] 金慧华,白征东,过静珺,等.地基GPS反演水汽影响因素分析[J].测绘科学,2008,32(4):65-67.
[17] 吕浩,张友阳,陈正生,等.TEQC及其绘图软件在GNSS数据预处理中的改进研究[J].海洋测绘,2015,35(2):69-72.
[18] 张亦梅,刘可,李垠.应用TEQC对湖北省陆态网络连续站的观测数据进行质量分析[J].大地测量与地球动力学,2011,31(z2).
[19] 周粲,曹云昌,梁宏,等.地基GPS水汽监测在人工影响天气中应用[J]. 内蒙古科技,2017,36(2):351-355.
[20] 王广海,高文刚.TEQC在GPS多路径效应中的观测质量分析[J].测绘与空间地理信息,2012,35(12):90-92.
[21] 岳迎春,陈春明,赵雪莲.GPS数据解算对流层天顶总延迟探讨[J].地理空间信息,2008,6(3):30-31.
[22] 鄂栋臣,詹必伟,姜卫平,等.应用GAMIT/GLOBK软件进行高精度GPS数据处理[J].极地研究,2005,17(3):173-182.
[23] 何秀凤.基于超快速星历的数值天气预报可行性研究[J].河南大学学报,2015,43(3):267-270.
相似文献/References:
[1]钱 勇,谭 侨,焦 阳,等.2013-2016年新疆地区闪电活动时空特征分析[J].成都信息工程大学学报,2018,(01):62.[doi:10.16836/j.cnki.jcuit.2018.01.012]
QIAN Yong,TAN Qiao,JIAO Yang,et al.Analysis on the Spatio-temporal Distribution Features of LightningActivity in Xinjiang Province during 2013-2016[J].Journal of Chengdu University of Information Technology,2018,(06):62.[doi:10.16836/j.cnki.jcuit.2018.01.012]
[2]滕玉鹏,史 朝,全 宇,等.粒子群优化算法对波束形成的效果分析[J].成都信息工程大学学报,2016,(01):22.
TENG Yu-peng,SHI Zhao,QUAN Yu,et al.The Effect of Particle Swarm Optimization for Beam-forming[J].Journal of Chengdu University of Information Technology,2016,(06):22.
[3]曾正茂,刘黎平.山西地区C 波段新一代天气雷达( CC)
联合雨量计降水效果对比与分析[J].成都信息工程大学学报,2016,(01):54.
ZENG Zheng-mao,LIU Li-ping.Comparison and Analysis of Next-generation C-band Radar(CC)-Gauge Merged
Quantitative Precipitation Estimation in Shanxi Province[J].Journal of Chengdu University of Information Technology,2016,(06):54.
[4]刘语嫣,杨笔锋,马尚昌,等.基于AM3354的气象观测综合集成控制系统硬件设计[J].成都信息工程大学学报,2016,(03):271.
LIU Yu-yan,YANG Bi-feng,MA Shang-chang,et al.The Hardware Design of the Integrated Control System of
Meteorological Observation based on AM3354[J].Journal of Chengdu University of Information Technology,2016,(06):271.
[5]刘语嫣,杨笔锋,马尚昌,等.基于AM3354的气象观测综合集成控制系统硬件设计[J].成都信息工程大学学报,2016,(03):291.
LIU Yu-yan,YANG Bi-feng,MA Shang-chang,et al.The Hardware Design of the Integrated Control System of
Meteorological Observation based on AM3354[J].Journal of Chengdu University of Information Technology,2016,(06):291.
[6]江金昊,刘海磊,王乙竹,等.基于Himawari-8卫星数据的青藏高原大气可降水量反演算法研究[J].成都信息工程大学学报,2022,37(05):494.[doi:10.16836/j.cnki.jcuit.2022.05.002]
JIANG Jinhao,LIU Hailei,WANG Yizhu,et al.Precipitable Water Vapor Retrieval Using Himawari-8 Satellite Observations over Tibetan Plateau[J].Journal of Chengdu University of Information Technology,2022,37(06):494.[doi:10.16836/j.cnki.jcuit.2022.05.002]
备注/Memo
收稿日期:2017-05-24 基金项目:国家重大科技专项资助项目(GFZX03030303)