| 中国西南地区GPS大气水汽转换系数模型精化研究 |
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| 引用本文： | 黄良珂,吴丕团,王浩宇,刘立龙.中国西南地区GPS大气水汽转换系数模型精化研究[J].大地测量与地球动力学,2019,39(3):256-261. |
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| 作者姓名： | 黄良珂 吴丕团 王浩宇 刘立龙 |
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| 作者单位： | 桂林理工大学测绘地理信息学院,桂林市雁山街319号,541004;广西空间信息与测绘重点实验室,桂林市雁山街319号,541004;广西壮族自治区地理信息测绘院,广西壮族自治区柳州市东环大道10号,545006 |
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| 基金项目： | 国家自然科学基金;国家自然科学基金;广西八桂学者岗位专项;广西自然科学基金;广西自然科学基金;广西空间信息与测绘重点实验室开放基金;广西空间信息与测绘重点实验室开放基金 |
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| 摘 要： | 利用中国西南地区19个探空站2011～2014年数据,通过积分法计算大气水汽转换系数K。采用2011～2013年的K值对Emardson模型进行精化,分别构建西南地区不顾及和顾及高程因子的K值模型Emardson-I和Emardson-H。利用2014年积分计算的K值检验这两种模型的预报精度,结果表明:1)相对于Emardson-I模型,Emardson-H模型表现出更高的K值预报精度和更好的适应性;2)在高海拔地区,Emardson-H模型预报精度明显优于Emardson-I模型,表明高程因子是影响高海拔地区K值计算的重要因素。将两种新模型用于拉萨站GPS大气水汽反演,Emardson-H模型表现出更优的反演精度,两种模型的反演精度均优于2 mm。
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| 关 键 词： | 西南地区 GPS大气水汽 转换系数 模型精化 |
Refining the GPS Atmospheric Water Vapor Conversion Factor Model over Southwest China |
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| HUANG Liangke,WU Pituan,WANG Haoyu,LIU Lilong.Refining the GPS Atmospheric Water Vapor Conversion Factor Model over Southwest China[J].Journal of Geodesy and Geodynamics,2019,39(3):256-261. |
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| Authors: | HUANG Liangke WU Pituan WANG Haoyu LIU Lilong |
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| Institution: | (College of Geomatics and Geoinformation,Guilin University of Technology,319 Yanshan Street,Guilin 541004,China;Guangxi Key Laboratory of Spatial Information and Geomatics,319 Yanshan Street,Guilin 541004,China;Institute of Geoinformation and Geomatics of Guangxi Zhuang Autonomous Region,Liuzhou 545006,China) |
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| Abstract: | The atmospheric water vapor conversion factor K is an important parameter in the progress of retrieving precipitable water vapor(PWV) from the zenith wet delay(ZWD) of the GPS. In this paper, four years of atmospheric water vapor conversion factor K values are calculated using radiosonde profiles derived from 19 radiosonde stations distributed in southwest China. The Emardson model is refined using K values from 2011 to 2013; finally, two refined K factor models are developed: the Emardson-I model(elevation independent) and the Emardson-H model(elevation dependent). These two new models are validated using 2014 K values. The results are:(1) Emardson-H model yields more accurate and stable results than Emardson-I model for predicting the K factor; (2) the performance of the Emardson-H model is significantly better than the Emardson-I model in high-altitude areas, indicating that elevation is an important factor for the K value calculation in these areas. In addition, the two new models are used for retrieving GPS-PWV at Lhasa station, with results showing that the Emardson-H model has excellent performance in retrieving GPS-PWV, and both models can achieve GPS-PWV retrieval precision of better than 2 mm. |
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| Keywords: | southwest China GPS precipitable water vapor conversion factor model refinement |
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