Articles | Volume 10, issue 6
https://doi.org/10.5194/amt-10-2045-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/amt-10-2045-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Jun 2017
Research article |
| 07 Jun 2017
A new voxel-based model for the determination of atmospheric weighted mean temperature in GPS atmospheric sounding
Changyong He
School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, P.R. China
Satellite Positioning for Atmosphere, Climate and Environment (SPACE) Research Centre, School of Science, Mathematical and Geospatial Sciences, RMIT University, Melbourne, VIC 3001, Australia
Suqin Wu
Satellite Positioning for Atmosphere, Climate and Environment (SPACE) Research Centre, School of Science, Mathematical and Geospatial Sciences, RMIT University, Melbourne, VIC 3001, Australia
Xiaoming Wang
Satellite Positioning for Atmosphere, Climate and Environment (SPACE) Research Centre, School of Science, Mathematical and Geospatial Sciences, RMIT University, Melbourne, VIC 3001, Australia
Andong Hu
Satellite Positioning for Atmosphere, Climate and Environment (SPACE) Research Centre, School of Science, Mathematical and Geospatial Sciences, RMIT University, Melbourne, VIC 3001, Australia
Qianxin Wang
School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, P.R. China
Kefei Zhang
CORRESPONDING AUTHOR
School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, P.R. China
Satellite Positioning for Atmosphere, Climate and Environment (SPACE) Research Centre, School of Science, Mathematical and Geospatial Sciences, RMIT University, Melbourne, VIC 3001, Australia
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36 citations as recorded by crossref.
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- Estimation of the water vapor field by fusing GPS and surface meteorological observations on the Loess Plateau of China L. Yang et al. 10.1007/s10291-023-01599-y
- Neural Network-Based Models for Estimating Weighted Mean Temperature in China and Adjacent Areas F. Long et al. 10.3390/atmos12020169
- A refined regional empirical pressure and temperature model over China W. Zhang et al. 10.1016/j.asr.2018.06.021
- Development and Assessment of an ALLSSA‐Based Atmospheric Weighted Mean Temperature Model With High Time Resolution for GNSS Precipitable Water Retrieval Y. Ma et al. 10.1029/2021EA002089
- GGTm-Ts: A global grid model of weighted mean temperature (Tm) based on surface temperature (Ts) with two modes F. Yang et al. 10.1016/j.asr.2022.10.010
- Determination of Weighted Mean Temperature (Tm) Lapse Rate and Assessment of Its Impact on Tm Calculation F. Yang et al. 10.1109/ACCESS.2019.2946916
- Improving the Estimation of Weighted Mean Temperature in China Using Machine Learning Methods Z. Sun et al. 10.3390/rs13051016
- A Refined Regional Model for Estimating Pressure, Temperature, and Water Vapor Pressure for Geodetic Applications in China J. Li et al. 10.3390/rs12111713
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- A New Empirical Model of Weighted Mean Temperature Combining ERA5 Reanalysis Data, Radiosonde Data, and TanDEM-X 90m Products over China J. Zhang et al. 10.3390/rs16050855
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- A new global grid-based weighted mean temperature model considering vertical nonlinear variation P. Sun et al. 10.5194/amt-14-2529-2021
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- An improved atmospheric weighted mean temperature model and its impact on GNSS precipitable water vapor estimates for China L. Huang et al. 10.1007/s10291-019-0843-1
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- Short-term rainfall forecast model based on the improved BP–NN algorithm Y. Liu et al. 10.1038/s41598-019-56452-5
- Local modeling of weighted mean temperature in Iran and its impact on GNSS meteorology H. Rahimi et al. 10.1007/s11600-022-00775-x
- Comparison of Weighted Mean Temperature in Greenland Calculated by Four Reanalysis Data C. Luo et al. 10.3390/rs14215431
- Extending a model for water vapor sounding by ground-based GNSS in the vertical direction Y. Yao et al. 10.1016/j.jastp.2018.08.016
- A new global grid model for the determination of atmospheric weighted mean temperature in GPS precipitable water vapor L. Huang et al. 10.1007/s00190-018-1148-9
- A coalescent grid model of weighted mean temperature for China region based on feedforward neural network algorithm M. Zhu et al. 10.1007/s10291-022-01254-y
- An investigation of a voxel-based atmospheric pressure and temperature model P. Sun et al. 10.1007/s10291-022-01390-5
- A Global Model for Estimating Tropospheric Delay and Weighted Mean Temperature Developed with Atmospheric Reanalysis Data from 1979 to 2017 Z. Sun et al. 10.3390/rs11161893
- A new zenith hydrostatic delay model for real-time retrievals of GNSS-PWV L. Li et al. 10.5194/amt-14-6379-2021
- Spatiotemporal characteristics of GNSS-derived precipitable water vapor during heavy rainfall events in Guilin, China L. Huang et al. 10.1186/s43020-021-00046-y
- A new LSTM-based model to determine the atmospheric weighted mean temperature in GNSS PWV retrieval X. Zhao et al. 10.1007/s10291-024-01621-x
- GNSS-retrieved precipitable water vapour in the Atlantic coast of France and Spain with GPT3 model R. Perdiguer-Lopez et al. 10.1007/s40328-023-00427-6
35 citations as recorded by crossref.
- Random Forest-Based Model for Estimating Weighted Mean Temperature in Mainland China H. Li et al. 10.3390/atmos13091368
- Estimation of the water vapor field by fusing GPS and surface meteorological observations on the Loess Plateau of China L. Yang et al. 10.1007/s10291-023-01599-y
- Neural Network-Based Models for Estimating Weighted Mean Temperature in China and Adjacent Areas F. Long et al. 10.3390/atmos12020169
- A refined regional empirical pressure and temperature model over China W. Zhang et al. 10.1016/j.asr.2018.06.021
- Development and Assessment of an ALLSSA‐Based Atmospheric Weighted Mean Temperature Model With High Time Resolution for GNSS Precipitable Water Retrieval Y. Ma et al. 10.1029/2021EA002089
- GGTm-Ts: A global grid model of weighted mean temperature (Tm) based on surface temperature (Ts) with two modes F. Yang et al. 10.1016/j.asr.2022.10.010
- Determination of Weighted Mean Temperature (Tm) Lapse Rate and Assessment of Its Impact on Tm Calculation F. Yang et al. 10.1109/ACCESS.2019.2946916
- Improving the Estimation of Weighted Mean Temperature in China Using Machine Learning Methods Z. Sun et al. 10.3390/rs13051016
- A Refined Regional Model for Estimating Pressure, Temperature, and Water Vapor Pressure for Geodetic Applications in China J. Li et al. 10.3390/rs12111713
- Enhanced Neural Network Model for Worldwide Estimation of Weighted Mean Temperature F. Long et al. 10.3390/rs13122405
- An Improved Spatiotemporal Weighted Mean Temperature Model over Europe Based on the Nonlinear Least Squares Estimation Method B. Zhang et al. 10.3390/rs14153609
- Rainfall Forecast Model Based on the TabNet Model J. Yan et al. 10.3390/w13091272
- A New Empirical Model of Weighted Mean Temperature Combining ERA5 Reanalysis Data, Radiosonde Data, and TanDEM-X 90m Products over China J. Zhang et al. 10.3390/rs16050855
- An ERA5 based local modelling of weighted mean temperature over hilly region in India for improved spatiotemporal analysis of extreme weather event using GNSS PWV S. Saxena & R. Dwivedi 10.1016/j.asr.2023.06.017
- A weighted mean temperature model using principal component analysis for Greenland S. Zhang et al. 10.1007/s10291-022-01392-3
- The correlation between GNSS-derived precipitable water vapor and sea surface temperature and its responses to El Niño–Southern Oscillation X. Wang et al. 10.1016/j.rse.2018.06.029
- Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote Sensing Q. Li et al. 10.3390/rs13245034
- Thermospheric Mass Density Modelling during Geomagnetic Quiet and Weakly Disturbed Time C. He et al. 10.3390/atmos15010072
- A new global grid-based weighted mean temperature model considering vertical nonlinear variation P. Sun et al. 10.5194/amt-14-2529-2021
- An improved weighted mean temperature (Tm) model based on GPT2w with Tm lapse rate F. Yang et al. 10.1007/s10291-020-0953-9
- An improved atmospheric weighted mean temperature model and its impact on GNSS precipitable water vapor estimates for China L. Huang et al. 10.1007/s10291-019-0843-1
- A weighted mean temperature (Tm) augmentation method based on global latitude zone F. Yang et al. 10.1007/s10291-022-01335-y
- Development of an empirical model for weighted mean temperature over North Indian region A. Srivastava 10.1080/10106049.2022.2142959
- An ERA5‐Based Model for Estimating Tropospheric Delay and Weighted Mean Temperature Over China With Improved Spatiotemporal Resolutions Z. Sun et al. 10.1029/2019EA000701
- Short-term rainfall forecast model based on the improved BP–NN algorithm Y. Liu et al. 10.1038/s41598-019-56452-5
- Local modeling of weighted mean temperature in Iran and its impact on GNSS meteorology H. Rahimi et al. 10.1007/s11600-022-00775-x
- Comparison of Weighted Mean Temperature in Greenland Calculated by Four Reanalysis Data C. Luo et al. 10.3390/rs14215431
- Extending a model for water vapor sounding by ground-based GNSS in the vertical direction Y. Yao et al. 10.1016/j.jastp.2018.08.016
- A new global grid model for the determination of atmospheric weighted mean temperature in GPS precipitable water vapor L. Huang et al. 10.1007/s00190-018-1148-9
- A coalescent grid model of weighted mean temperature for China region based on feedforward neural network algorithm M. Zhu et al. 10.1007/s10291-022-01254-y
- An investigation of a voxel-based atmospheric pressure and temperature model P. Sun et al. 10.1007/s10291-022-01390-5
- A Global Model for Estimating Tropospheric Delay and Weighted Mean Temperature Developed with Atmospheric Reanalysis Data from 1979 to 2017 Z. Sun et al. 10.3390/rs11161893
- A new zenith hydrostatic delay model for real-time retrievals of GNSS-PWV L. Li et al. 10.5194/amt-14-6379-2021
- Spatiotemporal characteristics of GNSS-derived precipitable water vapor during heavy rainfall events in Guilin, China L. Huang et al. 10.1186/s43020-021-00046-y
- A new LSTM-based model to determine the atmospheric weighted mean temperature in GNSS PWV retrieval X. Zhao et al. 10.1007/s10291-024-01621-x
Latest update: 18 Apr 2024
Short summary
Atmospheric weighted mean temperature (Tm) is a key parameter in precipitable water vapour (PWV) detection using GPS technique. This paper develops a new voxel-based empirical Tm model, which takes into consideration the lapse rate and diurnal variations of Tm. The theoretical RMS error of PWV resulting from the new model is generally less than 0.8 m over the globe. Therefore, it can be used as an alternative Tm determination method in the real-time GPS-based water vapour detection system.
Atmospheric weighted mean temperature (Tm) is a key parameter in precipitable water vapour (PWV)...
