|本期目录/Table of Contents|

[1]蒋光伟,王利,张秀霞.基于地基GPS与MODIS遥感影像的映射函数与大气可降水汽分析[J].地球科学与环境学报,2010,32(04):436-440.
　JIANG Guang-wei,WANG Li,ZHANG Xiu-xia.Analysis of Mapping Function and Atmospheric Precipitable Water Vapor Based on Ground GPS and MODIS Remote Sensing Image[J].Journal of Earth Sciences and Environment,2010,32(04):436-440.
点击复制

基于地基GPS与MODIS遥感影像的映射函数与大气可降水汽分析(PDF)
分享到：

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第32卷
期数:
2010年第04期
页码:
436-440
栏目:
地球信息科学
出版日期:
2010-12-20

文章信息/Info

Title:
Analysis of Mapping Function and Atmospheric Precipitable Water Vapor Based on Ground GPS and MODIS Remote Sensing Image
文章编号:
1672-6561(2010)04-0436-05
作者:
蒋光伟1; 王利2; 张秀霞3
(1. 国家测绘局 大地测量数据处理中心,陕西 西安 710054; 2. 长安大学 地质工程与测绘学院, 陕西 西安 710054; 3. 兰州理工大学 土木工程学院,甘肃 兰州 730050)
Author(s):
JIANG Guang-wei1;  WANG Li2;  ZHANG Xiu-xia3
(1. Geodetic Data Processing Center, State Bureau of Surveying and Mapping, Xi'an 710054, Shaanxi, China; 2. School of Geology Engineering and Surveying, Chang'an University, Xi'an 710054, Shaanxi, China; 3. School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, Gansu, China)
关键词:
天顶总延迟; 映射函数; 地基GPS; MODIS遥感影像; 综合水汽含量; 可降水汽
Keywords:
zenith total delay;  mapping function;  ground GPS;  MODIS remote sensing image;  integrate water vapor;  precipitable water vapor
分类号:
P49;P228.4
DOI:
-
文献标志码:
A
摘要:
为了提高短期和中小尺度灾害性天气可降水汽预报的准确性和实时性,利用西安地基GPS数据和MODIS遥感影像,采用NMF、GMF和VMF1映射函数设计了4种获取天顶干延迟初始值的方案,探讨了映射函数对计算天顶总延迟的影响。结果表明:在卫星高度角为10°时,VMF1映射函数反演效果和精度最佳,GMF映射函数次之,NMF映射函数最弱,而在卫星高度角为15°时,上述3种映射函数效果相当。最后,结合综合水汽含量与可降水汽的关系,通过计算地基GPS和MODIS遥感影像综合水汽含量,得到了地基GPS和MODIS遥感影像可降水汽(P<sub>PWV-GPS,P<sub>PWV-MODIS),并拟合了二者之间的线性关系,结果为PPWV-MODIS=1.4217PPWV-GPS-2.143,相关系数为0.9521。
Abstract:
In order to improve the accuracy and real-timing for forecasting precipitable water vapor of disastrous weather in mesoscale and microscale, ground GPS data and MODIS remote sensing image in Xi'an were used to design four schemes for obtaining the original value of zenith dry delay with NMF, GMF and VMF1 mapping functions, and the effect of mapping function on calculating zenith total delay was discussed. The results showed that when the elevation of satellite was 10°, retrieval effect and precision of VMF1, GMF and NMF mapping functions were best, middle and weak, respectively; however, the three mapping functions were considerable when the elevation of satellite was 15°. Finally, integrate water vapors of ground GPS and MODIS remote sensing image were calculated, and then precipitable water vapors(PPWV-GPS, P<sub>PWV-MODIS)were calculated according to the relationship between integrate and precipitable water vapors; the relationship of precipitable water vapor between ground GPS and MODIS remote sensing image were fitted into linear function P<sub>PWV-MODIS=1.421 7P<sub>PWV-GPS-2.143, and the related coefficient was 0.952 1.

参考文献/References:

[1] 李国平,黄丁发.GPS气象学研究及应用的进展与前景[J].气象科学,2005,25(6):651-661.
[2] 曲建光.GPS遥感气象要素的理论与应用研究[D].武汉:武汉大学,2005.
[3] 赵 峰.近实时GPS水汽自动处理系统的初步研究[D].南京:南京信息工程大学,2006.
[4] Bevis M,Businger S,Chiswell S,et al.GPS Meteorology:Mapping Zenith Wet Delays onto Precipitable Water[J].Journal of Applied Meteorology,1994,33(3):379-386.
[5] Boehm J,Schuh H.Vienna Mapping Functions in VLBI Analyses[J].Geophysical Research Letters,2004,31:277-281.
[6] Kouba J. Implementation and Testing of the Gridded Vienna Mapping Function 1(VMF1)[J]. Journal of Geodesy,2008,82(4/5):193-205.
[7] 张双成,叶世榕,刘经南,等.基于IGS超级跟踪站的近实时GPS气象研究及应用[J].测绘科学,2008,33(2):93-95.
[8] 曲伟菁,朱文耀,宋淑丽,等.三种对流层延迟改正模型精度评估[J].天文学报,2008,49(1):113-122.
[9] 曲建光,吴 壮.从GPS推算大气水汽的误差分析[J].测绘工程, 2001,10(4):24-26.
[10] 宋淑丽,朱文耀.区域GPS网实时计算可降水量的若干问题[J].中国科学院上海天文台年刊,2003,24:20-27.
[11] Boehm J, Heinkelmann R,Schuh H.A Global Mode of Pressure and Temperature for Geodetic Applications[J].Journal of Geodesy,2007,81(10):679-683.
[12] 霍艾迪,康相武,刘志丽,等.利用MODIS 数据反演沙漠化地区地表温度的简化模式——以陕西北部地区为例[J].地球科学与环境学报,2009,31(3):306-311.
[13] Gao B C,Goetz A F H.Column Atmospheric Water Vapor and Vegetation Liquid Water Retrievals from Airborne Imaging Spectrometer Data[J].Journal of Geophysical Research,1990,95(D4):3549-3564.
[14] Gao B C,Kaufman Y J.The MODIS Near-IR Water Vapor Algorithm[EB/OL].(2009-06-05)
[2009-11-20].http://modis-atmos.gsfc.nasa.gov/_docs/atbd_mod03.pdf.

相似文献/References:

备注/Memo

备注/Memo:
收稿日期:2010-01-10
基金项目: 国家自然科学基金重点项目(40534021); 中国地质调查局项目(1212010914015); 国家自然科学基金项目(40802075; 40902081)
作者简介: 蒋光伟(1985-),男,陕西西安人,工学硕士,从事GPS气象以及高精度GPS数据处理研究。E-mail:jgw_1985@163.com
更新日期/Last Update: 2010-12-20