融合大气数值模式的高精度对流层天顶延迟计算方法

doi:10.11947/j.AGCS.2019.20190003

测绘学报 ›› 2019, Vol. 48 ›› Issue (7): 862-870.doi: 10.11947/j.AGCS.2019.20190003

融合大气数值模式的高精度对流层天顶延迟计算方法

毛健^1,2, 崔铁军^1,2, 李晓丽¹, 陈莉¹, 孙艳玲¹, 高爽¹, 张辉¹

1. 天津师范大学地理与环境科学学院, 天津 300387;
2. 天津市地理空间信息技术工程中心, 天津 300387

收稿日期:2019-01-01 修回日期:2019-05-13 出版日期:2019-07-20 发布日期:2019-07-26
作者简介:毛健(1983-),男,博士,讲师,研究方向为GNSS空间环境探测。
基金资助:
国家重点研发计划（2016YFC0201700）；天津师范大学博士基金（52XB1503）

A hight-accuracy method for tropospheric zenith delay error correction by fusing atmospheric numerical models

MAO Jian^1,2, CUI Tiejun^1,2, LI Xiaoli¹, CHEN Li¹, SUN Yanling¹, GAO Shuang¹, ZHANG Hui¹

1. School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China;
2. Tianjin Engineering Center for Geospatial Information Technology, Tianjin 300387, China

Received:2019-01-01 Revised:2019-05-13 Online:2019-07-20 Published:2019-07-26
Supported by:
The National Key Research and Development Program of China (No. 2016YFC0201700); The PhD Foundation of Tianjin Normal University (No. 52XB1503)

摘要/Abstract

摘要： 针对现有对流层天顶延迟模型改正法因水汽参数难以精确获取所导致的时空分辨率与精度上的不足问题，提出了一种融合WRF（weather research and forecasting model）大气数值模式的对流层天顶延迟估计方法。通过分析WRF模式的数值模拟机理及其数据结构特征，采用直接积分与模型改正相结合的混合计算方式，实现了全球任意位置上小时级的对流层天顶延迟估计。验证结果表明，该方法计算的小时级ZTD再分析值精度为13.6 mm，日均值精度更是可达9.3 mm，比传统模型UNB3m的49.6 mm以及目前标称精度最高模型GPT2w的34.6 mm，精度分别提高了约5倍和3.5倍。在30 h的预报时段内，预报值精度也可达22 mm。无论是ZTD再分析值还是预报值比现有模型的估计值精度均有明显提高。

关键词: 对流层天顶延迟, 大气数值模式, 高时空分辨率, 高精度

Abstract: The complexity and intensity of water vapor variations are the fundamental reasons why it is difficult for tropospheric zenith delay models to get accurate estimation. To solve this problem, a new method for estimating tropospheric zenith delay based on WRF(weather research and forecasting model) atmospheric numerical model is proposed. By analyzing the numerical simulation mechanism and data structure characteristics of WRF model, a hybrid method of direct integration and correction model is used to estimate the hourly tropospheric zenith delay at any position in the world. The validation results show that the accuracy of the hourly ZTD reanalysis value calculated by this method is 13.6 mm, and the daily average value is 9.3 mm, which is about 5 times and 3.5 times higher than that of the traditional model UNB3m and the current model GPT2w, respectively. In the 30-hour forecast period, the accuracy of the forecast value can also reach 22 mm. The accuracy is higher than existing tropospheric zenith delay models whether for the ZTD reanalysis value or the forecast value.

Key words: tropospheric zenith delay, atmospheric numerical model, high spatiotemporal resolution, high-precision

中图分类号:

P228

毛健, 崔铁军, 李晓丽, 陈莉, 孙艳玲, 高爽, 张辉. 融合大气数值模式的高精度对流层天顶延迟计算方法[J]. 测绘学报, 2019, 48(7): 862-870.

MAO Jian, CUI Tiejun, LI Xiaoli, CHEN Li, SUN Yanling, GAO Shuang, ZHANG Hui. A hight-accuracy method for tropospheric zenith delay error correction by fusing atmospheric numerical models[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(7): 862-870.

参考文献

[1] HOPFIELD H S. Two-quartic tropospheric refractivity profile for correcting satellite data[J]. Journal of Geophysical Research, 1969, 74(18):4487-4499.
[2] SAASTAMOINEN J. Atmospheric correction for the troposphere and stratosphere in radio ranging satellites[M]. HENRIKSEN S W, MANCINI A, CHOVITZ B H. The Use of Artificial Satellites for Geodesy. Washington, DC:American Geophysical Union, 1972:247-251.
[3] LEANDRO R F, SANTOS M C, LANGLEY R B. UNB neutral atmosphere models:development and performance[C]//Proceedings of the National Technical Meeting of the Institute of Navigation. Monterey, California:Institute of Navigation, 2006:564-573.
[4] PENNA N, DODSON A, WU Chen. Assessment of EGNOS tropospheric correction model[J]. The Journal of Navigation, 2001, 54(1):37-55.
[5] KRUEGER E, SCHVLER T, ARBESSER-RASTBURG B. The standard tropospheric correction model for the European satellite navigation system Galileo[C]//Proceedings of the XXVⅢth General Assembly of the International Union of Radio Science. New Delhi, India:URSI, 2005.
[6] SCHVLER T. The TropGrid2 standard tropospheric correction model[J]. GPS Solutions, 2014, 18(1):123-131.
[7] BOEHM J, HEINKELMANN R, SCHUH H. Short Note:a global model of pressure and temperature for geodetic applications[J]. Journal of Geodesy, 2007, 81(10):679-683.
[8] LAGLER K, SCHINDELEGGER M, BÖHM J, et al. GPT2:empirical slant delay model for radio space geodetic techniques[J]. Geophysical Research Letters, 2013, 40(6):1069-1073.
[9] BÖHM J, MÖLLER G, SCHINDELEGGER M, et al. Development of an improved empirical model for slant delays in the troposphere (GPT2w)[J]. GPS Solutions, 2015, 19(3):433-441.
[10] 姚宜斌, 张顺, 孔建. GNSS空间环境学研究进展和展望[J]. 测绘学报, 2017, 46(10):1408-1420. DOI:10.11947/j.AGCS.2017.20170333. YAO Yibin, ZHANG Shun, KONG Jian. Research progress and prospect of GNSS space environment science[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1408-1420. DOI:10.11947/j.AGCS.2017.20170333.
[11] SCHVLER T. The TropGrid2 standard tropospheric correction model[J]. GPS Solutions, 2014, 18(1):123-131.
[12] LI Wei, YUAN Yunbin, OU Jikun, et al. New versions of the BDS/GNSS zenith tropospheric delay model IGGtrop[J]. Journal of Geodesy, 2015, 89(1):73-80.
[13] 姚宜斌, 胡羽丰, 余琛. 一种改进的全球对流层天顶延迟模型[J]. 测绘学报, 2015, 44(3):242-249. DOI:10.11947/j.AGCS.2015.20140089. YAO Yibin, HU Yufeng, YU Chen. An improved global zenith tropospheric delay model[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(3):242-249. DOI:10.11947/j.AGCS.2015.20140089.
[14] VEDEL H, MOGENSEN K S, HUANG X Y. Calculation of zenith delays from meteorological data comparison of NWP model, radiosonde and GPS delays[J]. Physics and Chemistry of the Earth, Part A:Solid Earth and Geodesy, 2001, 26(6-8):497-502.
[15] BEHREND D, HAAS R, PINO D, et al. MM5 derived ZWDs compared to observational results from VLBI, GPS and WVR[J]. Physics and Chemistry of the Earth, Parts A/B/C, 2002, 27(4-5):301-308.
[16] SNAJDROVA K, BOEHM J, WILLIS P, et al. Multi-technique comparison of tropospheric zenith delays derived during the CONT02 campaign[J]. Journal of Geodesy, 2006, 79(10-11):613-623.
[17] TEKE K, BÖHM J, NILSSON T, et al. Multi-technique comparison of troposphere zenith delays and gradients during CONT08[J]. Journal of Geodesy, 2011, 85(7):395-413.
[18] TEKE K, NILSSON T, BÖHM J, et al. Troposphere delays from space geodetic techniques, water vapor radiometers, and numerical weather models over a series of continuous VLBI campaigns[J]. Journal of Geodesy, 2013, 87(10-12):981-1001.
[19] WILGAN K, ROHM W, BOSY J. Multi-observation meteorological and GNSS data comparison with Numerical Weather Prediction model[J]. Atmospheric Research, 2015, 156:29-42.
[20] WILGAN K, HURTER F, GEIGER A, et al. Tropospheric refractivity and zenith path delays from least-squares collocation of meteorological and GNSS data[J]. Journal of Geodesy, 2017, 91(2):117-134.
[21] CHEN Qinming, SONG Shuli, HEISE S, et al. Assessment of ZTD derived from ECMWF/NCEP data with GPS ZTD over China[J]. GPS Solutions, 2011, 15(4):415-425.
[22] 黄瑾芳, 楼益栋, 张卫星, 等. 再分析资料计算中国区域对流层延迟精度[J]. 测绘科学, 2018, 43(5):13-17. HUANG Jinfang, LOU Yidong, ZHANG Weixing, et al. The assessment of ZTD calculated from reanalysis over China[J]. Science of Surveying and Mapping, 2018, 43(5):13-17.
[23] RVEGER J M. Refractive index formulae for radio waves[J]. Washington, DC, USA:FIG XXⅡ International Congress, 2002.
[24] LI Wei, YUAN Yunbin, OU Jikun, et al. A new global zenith tropospheric delay model IGGtrop for GNSS applications[J]. Chinese Science Bulletin, 2012, 57(17):2132-2139.
[25] 姚宜斌, 张豹, 严凤, 等. 两种精化的对流层延迟改正模型[J]. 地球物理学报, 2015, 58(5):1492-1501. YAO Yibin, ZHANG Bao, YAN Feng, et al. Two new sophisticated models for tropospheric delay corrections[J]. Chinese Journal of Geophysics, 2015, 58(5):1492-1501.

融合大气数值模式的高精度对流层天顶延迟计算方法

A hight-accuracy method for tropospheric zenith delay error correction by fusing atmospheric numerical models

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

编辑推荐

Metrics

本文评价

[1]	施闯, 张东, 宋伟, 于佳亮, 郭文飞. 北斗广域高精度时间服务原型系统[J]. 测绘学报, 2020, 49(3): 269-277.
[2]	耿江辉, 常华, 郭将, 栗广才, 魏娜. 面向城市复杂环境的3种多频多系统GNSS单点高精度定位方法及性能分析[J]. 测绘学报, 2020, 49(1): 1-13.
[3]	白正伟, 张勤, 黄观文, 景策, 王家兴. “轻终端+行业云”的实时北斗滑坡监测技术[J]. 测绘学报, 2019, 48(11): 1424-1429.
[4]	龚健雅, 王密, 杨博. 高分辨率光学卫星遥感影像高精度无地面控制精确处理的理论与方法[J]. 测绘学报, 2017, 46(10): 1255-1261.
[5]	赵建虎, 欧阳永忠, 王爱学. 海底地形测量技术现状及发展趋势[J]. 测绘学报, 2017, 46(10): 1786-1794.
[6]	李奇峻, 范大昭, 雷蓉, 纪松, 张文朝. 资源三号多光谱影像谱段间相对内参关系标定及高精度配准[J]. 测绘学报, 2016, 45(6): 685-690.
[7]	黄良珂刘立龙文鸿雁姚朝龙. 亚洲地区EGNOS天顶对流层延迟模型单站修正与精度分析[J]. 测绘学报, 2014, 43(8): 808-817.