|Table of Contents|

Analysis of Mapping Function and Atmospheric Precipitable Water Vapor Based on Ground GPS and MODIS Remote Sensing Image(PDF)

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

Issue:
2010年第04期
Page:
436-440
Research Field:
地球信息科学
Publishing date:

Info

Title:
Analysis of Mapping Function and Atmospheric Precipitable Water Vapor Based on Ground GPS and MODIS Remote Sensing Image
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)
Keywords:
zenith total delay;  mapping function;  ground GPS;  MODIS remote sensing image;  integrate water vapor;  precipitable water vapor
PACS:
P49;P228.4
DOI:
-
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.

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Last Update: 2010-12-20