Articles | Volume 34, issue 9
https://doi.org/10.5194/angeo-34-789-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/angeo-34-789-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regular paper
| 
20 Sep 2016
Regular paper |
| 20 Sep 2016
Optimization of GPS water vapor tomography technique with radiosonde and COSMIC historical data
Shirong Ye
GNSS Research Centre, Wuhan University, Wuhan, 430079, China
Pengfei Xia
GNSS Research Centre, Wuhan University, Wuhan, 430079, China
Changsheng Cai
CORRESPONDING AUTHOR
School of Geosciences and Info-physics, Central South University,
Changsha, 410083, China
Viewed
Total article views: 2,115 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Sep 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,136 | 894 | 85 | 2,115 | 101 | 107 |
- HTML: 1,136
- PDF: 894
- XML: 85
- Total: 2,115
- BibTeX: 101
- EndNote: 107
Cited
31 citations as recorded by crossref.
- Regional modeling and forecasting of precipitable water vapor using least square support vector regression S. Ghaffari-Razin et al. 10.1016/j.asr.2023.01.030
- A method for predicting short‐time changes in fine particulate matter (PM2.5) mass concentration based on the global navigation satellite system zenith tropospheric delay M. Guo et al. 10.1002/met.1866
- Enhanced Troposphere Tomography: Integration of GNSS and Remote Sensing Data With Optimal Vertical Constraints S. Izanlou et al. 10.1109/JSTARS.2024.3354884
- An optimal tropospheric tomography approach with the support of an auxiliary area Q. Zhao et al. 10.5194/angeo-36-1037-2018
- Exploration and analysis of the factors influencing GNSS PWV for nowcasting applications M. Guo et al. 10.1016/j.asr.2021.02.018
- Application of the GPS reflected signals in tomographic reconstruction of the wet refractivity in Italy M. Shafei & M. Hossainali 10.1016/j.jastp.2020.105348
- A Refined Tomographic Window for GNSS-Derived Water Vapor Tomography Y. Yao et al. 10.3390/rs12182999
- Adaptive Voxel-Based Model for the Dynamic Determination of Tomographic Region N. Ding et al. 10.3390/rs15020492
- Development of a New Vertical Water Vapor Model for GNSS Water Vapor Tomography M. Wan et al. 10.3390/rs14225656
- A New Method for Estimating Tropospheric Zenith Wet-Component Delay of GNSS Signals from Surface Meteorology Data P. Xia et al. 10.3390/rs12213497
- A coastally improved global dataset of wet tropospheric corrections for satellite altimetry C. Lázaro et al. 10.5194/essd-12-3205-2020
- Analysis of GNSS-Derived Tropospheric Zenith Non-Hydrostatic Delay Anomaly during Sandstorms in Northern China on 15th March 2021 M. Zhou et al. 10.3390/rs14184678
- A new troposphere tomography algorithm with a truncation factor model (TFM) for GNSS networks Q. Zhao et al. 10.1007/s10291-019-0855-x
- Retrieval of Tropospheric Refractivity Profiles Using Slant Tropospheric Delays Derived From a Single Ground‐Based Global Navigation Satellite System Station P. Xia et al. 10.1029/2019EA000562
- A New Approach of the Global Navigation Satellite System Tomography for Any Size of GNSS Network Y. Wang et al. 10.3390/rs12040617
- An improved GNSS remote sensing technique for 3D distribution of tropospheric water vapor A. Long et al. 10.1002/met.2136
- A new approach for GNSS tomography from a few GNSS stations N. Ding et al. 10.5194/amt-11-3511-2018
- GNSS-RS Tomography: Retrieval of Tropospheric Water Vapor Fields Using GNSS and RS Observations W. Zhang et al. 10.1109/TGRS.2021.3077083
- A new hybrid observation GNSS tomography method combining the real and virtual inverted signals W. Zhang et al. 10.1007/s00190-021-01576-8
- Cloud tomography applied to sky images: A virtual testbed F. Mejia et al. 10.1016/j.solener.2018.10.023
- An improved tropospheric tomography method based on the dynamic node parametrized algorithm W. Zhang 10.13168/AGG.2020.0014
- Assessment of the Water Vapor Tomography Based on Four Navigation Satellite Systems and Their Various Combinations F. Yang et al. 10.3390/rs14153552
- Tightly Coupled Tomography Model for Atmospheric Water Vapor Based on Multisource Remote-Sensing and GNSS Data S. Li et al. 10.1109/TGRS.2024.3393561
- Assessing water vapor tomography in Hong Kong with improved vertical and horizontal constraints P. Xia et al. 10.5194/angeo-36-969-2018
- GNSS ground-based tomography: state-of-the-art and technological challenges S. Saxena & R. Dwivedi 10.1080/01431161.2023.2247526
- LEO Constellation-Augmented Multi-GNSS for 3D Water Vapor Tomography S. Xiong et al. 10.3390/rs13163056
- Optimized Approach for Near-Real-Time 3-D Water Vapor Estimation Technique Using the Informer Model in GNSS Y. Zhu et al. 10.1109/TGRS.2024.3495680
- An improved GNSS tropospheric tomography method with the GPT2w model Q. Zhao et al. 10.1007/s10291-020-0974-4
- Node-Based Optimization of GNSS Tomography with a Minimum Bounding Box Algorithm N. Ding et al. 10.3390/rs12172744
- 3-D Water Vapor Tomography in Wuhan from GPS, BDS and GLONASS Observations Z. Dong & S. Jin 10.3390/rs10010062
- Monitoring water vapor transport in near real-time with low-cost GNSS receiver network J. Wu et al. 10.1038/s41598-025-10603-z
Latest update: 16 Aug 2025
Short summary
The near-real-time high spatial resolution of atmospheric water vapor distribution is vital in numerical weather prediction. GPS tomography technique has been proved effectively for three-dimensional water vapor reconstruction. In this study, the tomography processing is optimized in a few aspects by the aid of radiosonde and COSMIC historical data, including the accuracy improvement of tropospheric zenith hydrostatic delay and precipitable water vapor conversion factor.
The near-real-time high spatial resolution of atmospheric water vapor distribution is vital in...
