Articles | Volume 12, issue 2
https://doi.org/10.5194/amt-12-1233-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-12-1233-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Feb 2019
Research article |
| 27 Feb 2019
| 27 Feb 2019
Development of time-varying global gridded Ts–Tm model for precise GPS–PWV retrieval
Peng Jiang
CORRESPONDING AUTHOR
School of Resources and Environmental Engineering, Anhui University, Hefei, Anhui, China
Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei, Anhui, China
GNSS Research Center, Wuhan University, Wuhan, Hubei, China
Shirong Ye
GNSS Research Center, Wuhan University, Wuhan, Hubei, China
Yinhao Lu
School of Resources and Environmental Engineering, Anhui University, Hefei, Anhui, China
Yanyan Liu
Shenzhen Key Laboratory of Spatial Smart Sensing and Services, College of Civil Engineering, Shenzhen University, Shenzhen, Guangdong, China
GNSS Research Center, Wuhan University, Wuhan, Hubei, China
Dezhong Chen
GNSS Research Center, Wuhan University, Wuhan, Hubei, China
Yanlan Wu
School of Resources and Environmental Engineering, Anhui University, Hefei, Anhui, China
Anhui Engineering Research Center for Geographical Information Intelligent Technology, Hefei, Anhui, China
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Cited
14 citations as recorded by crossref.
- Enhanced Neural Network Model for Worldwide Estimation of Weighted Mean Temperature F. Long et al. 10.3390/rs13122405
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- Evaluating Precipitable Water Vapor Products From Fengyun-4A Meteorological Satellite Using Radiosonde, GNSS, and ERA5 Data J. Tan et al. 10.1109/TGRS.2022.3146018
- An improved global Tm stratification model for GNSS-PWV retrieval C. Jiang et al. 10.1016/j.asr.2024.05.014
- Assessment of the performance of GPS-PWV and rainfall event prediction by using precise products from different analysis centers J. Wu et al. 10.1007/s12145-023-01025-4
- Global grid-based Tm model with vertical adjustment for GNSS precipitable water retrieval Q. Li et al. 10.1007/s10291-020-00988-x
- A Global Assessment of Precipitable Water Vapor Derived From GNSS Zenith Tropospheric Delays With ERA5, NCEP FNL, and NCEP GFS Products B. Chen et al. 10.1029/2021EA001796
- Handling Method for Outages of IGS Real-Time Service (RTS) in GNSS Real-Time Sensing of Atmospheric Water Vapor H. Li et al. 10.1109/JSTARS.2023.3312514
- A new global grid-based weighted mean temperature model considering vertical nonlinear variation P. Sun et al. 10.5194/amt-14-2529-2021
- Neural Network-Based Models for Estimating Weighted Mean Temperature in China and Adjacent Areas F. Long et al. 10.3390/atmos12020169
- Tomographic Reconstruction of Water Vapor Density Fields From the Integration of GNSS Observations and Fengyun-4A Products B. Chen et al. 10.1109/TGRS.2023.3239392
- A Novel Global Grid Model for Atmospheric Weighted Mean Temperature in Real-Time GNSS Precipitable Water Vapor Sounding L. Huang et al. 10.1109/JSTARS.2023.3261381
- Revealing the spatiotemporal patterns of water vapor and its link to North Atlantic Oscillation over Greenland using GPS and ERA5 data Y. Liu et al. 10.1016/j.scitotenv.2024.170596
- Random Forest-Based Model for Estimating Weighted Mean Temperature in Mainland China H. Li et al. 10.3390/atmos13091368
13 citations as recorded by crossref.
- Enhanced Neural Network Model for Worldwide Estimation of Weighted Mean Temperature F. Long et al. 10.3390/rs13122405
- Retrieving the Atmospheric Water Vapor Profile Combining FY-4A/GIIRS and Ground-Based GNSS PWV in Hong Kong Region P. Jiang et al. 10.1109/TGRS.2024.3520479
- Evaluating Precipitable Water Vapor Products From Fengyun-4A Meteorological Satellite Using Radiosonde, GNSS, and ERA5 Data J. Tan et al. 10.1109/TGRS.2022.3146018
- An improved global Tm stratification model for GNSS-PWV retrieval C. Jiang et al. 10.1016/j.asr.2024.05.014
- Assessment of the performance of GPS-PWV and rainfall event prediction by using precise products from different analysis centers J. Wu et al. 10.1007/s12145-023-01025-4
- Global grid-based Tm model with vertical adjustment for GNSS precipitable water retrieval Q. Li et al. 10.1007/s10291-020-00988-x
- A Global Assessment of Precipitable Water Vapor Derived From GNSS Zenith Tropospheric Delays With ERA5, NCEP FNL, and NCEP GFS Products B. Chen et al. 10.1029/2021EA001796
- Handling Method for Outages of IGS Real-Time Service (RTS) in GNSS Real-Time Sensing of Atmospheric Water Vapor H. Li et al. 10.1109/JSTARS.2023.3312514
- A new global grid-based weighted mean temperature model considering vertical nonlinear variation P. Sun et al. 10.5194/amt-14-2529-2021
- Neural Network-Based Models for Estimating Weighted Mean Temperature in China and Adjacent Areas F. Long et al. 10.3390/atmos12020169
- Tomographic Reconstruction of Water Vapor Density Fields From the Integration of GNSS Observations and Fengyun-4A Products B. Chen et al. 10.1109/TGRS.2023.3239392
- A Novel Global Grid Model for Atmospheric Weighted Mean Temperature in Real-Time GNSS Precipitable Water Vapor Sounding L. Huang et al. 10.1109/JSTARS.2023.3261381
- Revealing the spatiotemporal patterns of water vapor and its link to North Atlantic Oscillation over Greenland using GPS and ERA5 data Y. Liu et al. 10.1016/j.scitotenv.2024.170596
1 citations as recorded by crossref.
Latest update: 23 Apr 2025
Short summary
A time-varying global gridded Ts–Tm model with 0.75 × 0.75 degree spatial resolution is developed in our study to precisely estimate water-vapor-weighted mean temperature
Tm from surface air temperature Ts. Using multiple statistical tests, we assessed the Tm of our model and its impact on the GPS–PWV retrievals. Comparisons with other models demonstrate that our model has prominent advantages. Matlab codes and arrays used to realize our model are provided in the supplement of this study.
A time-varying global gridded Ts–Tm model with 0.75 × 0.75 degree spatial resolution is...
