臧建飞,彭秀英,胡卓,崔凯,宫雅文,范士杰

• 1:武汉大学测绘学院
• 2:中国石油大学(华东)地球科学与技术学院
• 3:南宁天脉测绘有限责任公司

摘要(Abstract)：

针对目前多数大气加权平均温度(Tm)模型没有考虑季节性影响这一问题,该文首先利用IGRA 2005—2010年全球探空数据,分别建立了各探空站点与地表温度有关的线性Tm模型、与地表水汽压有关的指数Tm模型以及与地表温度和水汽压均有关的混合Tm模型。然后以探空站积分Tm值为参考,对上述3类模型的误差时间序列进行了分析,发现这3种模型均存在周期性误差,并在此基础上构建了考虑周期性误差修正的3类Tm新模型。利用2011—2014年全球探空数据对3类新模型进行精度验证,结果表明:3类Tm新模型的精度相比于原模型均有所提升,模型的周期性误差影响基本得以消除,且3类Tm新模型的精度基本一致。

关键词(KeyWords)： 大气加权平均温度;地表温度;地表水汽压;探空数据;模型构建

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41274011,41374044);; 山东省自然科学基金项目(ZR2019MD005,ZR2017LD009)

作者(Author): 臧建飞,彭秀英,胡卓,崔凯,宫雅文,范士杰

DOI: 10.16251/j.cnki.1009-2307.2019.08.021

参考文献(References)：

• [1]BEVIS M,BUSINGER S,HERRING T A,et al.GPSmeteorology:remote sensing of the atmospheric water vapor using the global positioning system[J].Journal of Geophysical Research,1992,97(D14):15787-15801.
• [2]YAO Yibin,XU Chaoqian,ZHANG Bao,et al.GTmIII:a new global empirical model for mapping zenith wet delays onto precipitable water vapour[J].Geophysical Journal International,2014,197(1):202-212.
• [3]BHM J,MLLER 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.
• [4]陈鹏,陈家君.利用NCEP再分析资料建立全球大气加权平均温度模型[J].大地测量与地球动力学,2014,34(3):133-136,141.(CHEN Peng,CHEN Jiajun.Establishment of global atmospheric weighted average temperature model using NCEP reanalysis data[J].Journal of Geodesy and Geodynamics,2014,34(3):133-136,141.)
• [5]谢劭峰,黎峻宇,刘立龙,等.新疆地区GGOS Atmosphere加权平均温度的精化[J].大地测量与地球动力学,2017,37(5):472-477.(XIE Shaofeng,LI Junyu,LIU Lilong,et al.Refinement of GGOS atmosphere weighted mean temperature in Xinjiang[J].Journal of Geodesy and Geodynamics,2017,37(5):472-477.)
• [6]BEVIS M,BUSINGER S,CHISWELL S,et al.GPSmeteorology:mapping zenith wet delays onto precipitable water[J].Journal of Applied Meteorology,1994,33(3):379-386.
• [7]MENDES V B,PRATES G,SANTOS L,et al.An evaluation of the accuracy of models of the determination of the weighted mean temperature of the atmosphere[C]∥ION 2000National Technical Meeting.[S.l.]:[s.n.],2000:26-28.
• [8]SCHULER T,POSFAY A,HEIN G W,et al.A global analysis of the mean atmospheric temperature for GPSwater vapor estimation[C/OL]∥Proceedings of the14th International Technical Meeting of the Satellite Division of the Institute of Navigation,2011[2018-05-03].https:∥www.researchgate.net/publication/228788628.
• [9]李黎,宋越,易金花,等.湖南三地加权平均温度分区分时模型研究[J].测绘科学,2018,43(1):54-58,65.(LILi,SONG Yue,YI Jinhua,et al.Research on subregional and seasonal modeling of weighted average temperature in three region of Hunan[J].Science of Surveying and Mapping,2018,43(1):54-58,65.)
• [10]范进伟,郭承军.基于区域GPS网大气降水量预测建模研究[J].计算机仿真,2017,34(1):401-404.(FANJinwei,GUO Chengjun.The modeling research of the atmospheric precipitable water vapor forecast based on regional GPS networks[J].Computer Simulation,2017,34(1):401-404.)
• [11]张化疑,刘焱雄,周兴华,等.渤海区域对流层加权平均温度研究[J].测绘信息与工程,2010,35(4):1-2.(ZHANG Huayi,LIU Yanxiong,ZHOU Xinghua,et al.Weighted mean temperature in Bohai[J].Journal of Geomatics,2010,35(4):1-2.)
• [12]穆宝胜,施昆.地基GPS水汽反演昆明地区加权平均温度的模型建立[J].测绘科学,2013,38(3):98-99.(MU Baosheng,SHI Kun.Model establishment of weighted average temperature in Kunming area by ground-based GPS water vapor inversion[J].Science of Surveying and Mapping,2013,38(3):98-99.)
• [13]姚宜斌,张豹,许超钤,等.Tm-Ts的相关性分析及全球纬度相关的线性关系模型构建[J].科学通报,2014,59(9):816-824.(YAO Yibin,ZHANG Bao,XU Chaoqian,et al.Analysis of the global Tm-Tscorrelation and establishment of the latitude-related linear model[J].Chinese Science Bulletin,2014,59(9):816-824.)
• [14]许九靖,赵兴旺,申建华.大气加权平均温度建模及其在GPS/PWV中的应用[J].全球定位系统,2018,43(1):60-64.(XU Jiujing,ZHAO Xingwang,SHEN Jianhua.Modeling of weighted mean temperature and its application in GPS/PWV[J].GNSS World of China,2018,43(1):60-64.)
• [15]于胜杰,柳林涛.水汽加权平均温度回归公式的验证与分析[J].武汉大学学报(信息科学版),2009,34(6):741-744.(YU Shengjie,LIU Lintao.Validation and analysis of the water-vapor-weighted mean temperature fromTm-Tsrelationship[J].Geomatics and Information Science of Wuhan University,2009,34(6):741-744.)
• [16]王晓英,宋连春,戴仔强,等.香港地区加权平均温度特征分析[J].南京信息工程大学学报(自然科学版),2011,3(1):47-52.(WANG Xiaoying,SONG Lianchun,DAI Zaiqiang,et al.Feature analysis of weighted mean temperature Tmin Hong Kong[J].Journal of Nanjing University of Information Science and Technology(Natural Science Edition),2011,3(1):47-52.)
• [17]YAO Yibin,ZHANG Bao,XU Chaoqian,et al.Improved one/multi-parameter models that consider seasonal and geographic variations for estimating weighted mean temperature in ground-based GPS meteorology[J].Journal of Geodesy,2014,88(3):273-282.