Next Article in Journal
Geographic and Climatic Attributions of Autumn Land Surface Phenology Spatial Patterns in the Temperate Deciduous Broadleaf Forest of China
Next Article in Special Issue
A Priori Solar Radiation Pressure Model for BeiDou-3 MEO Satellites
Previous Article in Journal
Analyzing the Magnesium (Mg) Number of Olivine on the Lunar Surface and Its Geological Significance
Previous Article in Special Issue
GPS + BDS Network Real-Time Differential Positioning Using a Position Domain Estimation Method
Article

On the Study of Influences of Different Factors on the Rapid Tropospheric Tomography

1
GNSS Research Center, Wuhan University, Wuhan 430079, China
2
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430072, China
3
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(13), 1545; https://doi.org/10.3390/rs11131545
Received: 23 April 2019 / Revised: 23 June 2019 / Accepted: 25 June 2019 / Published: 28 June 2019
(This article belongs to the Special Issue Global Navigation Satellite Systems for Earth Observing System)
A rapid tropospheric tomography system was developed by using algebraic reconstruction technique. Influences of different factors on the tomographic results, including the ground meteorological data, the multi-Global Navigation Satellite System (GNSS) observations, the ground station distribution and the tomographic horizontal resolution, were systematically investigated. In order to exclude the impacts from discrepancies of water vapor information between input observations and references on the tomographic results, the latest reanalysis products, ERA5, which were taken as references for result evaluations, were used to simulate slant wet delay (SWD) observations at GNSS stations. Besides, the slant delays derived from GNSS processing were also used to evaluate the reliability of simulated observations. Tomography results show that the input both SWD and ground meteorological data could improve the tomographic results where SWD mainly improve the results at middle layers (500 to 5000 m, namely 2 to 16 layer) and ground meteorological data could improve the humidity fields at bottom layers further (0 to 500 m, namely 0 to 2 layer). Compared to the usage of Global Positioning System (GPS) only SWD, the inclusion of multi-GNSS SWD does not significantly improve the tomographic results at all layers due to the almost unchanged dispersion of puncture points of GNSS signals. However, increases in the ground GNSS stations can benefit the tomography, with improvements of more than 10% at bottom and middle layers. Higher tomographic horizontal resolution can further slightly improve the tomographic results (about 3-6% from 0.5 to 0.25 degrees), which, however, will also increase the computational burden at the same time. View Full-Text
Keywords: water vapor; tomography; simulation; GNSS water vapor; tomography; simulation; GNSS
Show Figures

Graphical abstract

MDPI and ACS Style

Liu, W.; Lou, Y.; Zhang, W.; Huang, J.; Zhou, Y.; Zhang, H. On the Study of Influences of Different Factors on the Rapid Tropospheric Tomography. Remote Sens. 2019, 11, 1545. https://doi.org/10.3390/rs11131545

AMA Style

Liu W, Lou Y, Zhang W, Huang J, Zhou Y, Zhang H. On the Study of Influences of Different Factors on the Rapid Tropospheric Tomography. Remote Sensing. 2019; 11(13):1545. https://doi.org/10.3390/rs11131545

Chicago/Turabian Style

Liu, Wenxuan; Lou, Yidong; Zhang, Weixing; Huang, Jinfang; Zhou, Yaozong; Zhang, Haoshan. 2019. "On the Study of Influences of Different Factors on the Rapid Tropospheric Tomography" Remote Sens. 11, no. 13: 1545. https://doi.org/10.3390/rs11131545

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop