Estimating Zenith Tropospheric Delay Based on GPT2w Model
To precisely and conveniently estimate zenith tropospheric delay (ZTD), troposphere refractivity is deduced through global pressure and temperature 2w (GPT2w) model and surface meteorology devices, ZTD is estimated based on integration of refractivity in the zenith direction. When surface meteorolog...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8782517/ |
| _version_ | 1829530832649322496 |
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| author | Zan Liu Xihong Chen Qiang Liu |
| author_facet | Zan Liu Xihong Chen Qiang Liu |
| author_sort | Zan Liu |
| collection | DOAJ |
| description | To precisely and conveniently estimate zenith tropospheric delay (ZTD), troposphere refractivity is deduced through global pressure and temperature 2w (GPT2w) model and surface meteorology devices, ZTD is estimated based on integration of refractivity in the zenith direction. When surface meteorological measurements are absent, all parameters including surface meteorology and lapse rate are estimated by GPT2w. Validation is carried out using observed data in the year 2012 at 8 international GNSS service (IGS) stations. Results indicate that when surface meteorological parameters are available, the annual accuracy is improved by 27% than Saastamoinen model. Meanwhile, annual bias of the other scheme is decreased by 21% than the GPT2w+Saastamoinen model. For most stations, the bias shows seasonal characteristics, high elevation, high longitude and low latitude can bring less bias. |
| first_indexed | 2024-12-16T18:10:22Z |
| format | Article |
| id | doaj.art-c7d073ebaf0645f6b4f21ba4daf73a92 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T18:10:22Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-c7d073ebaf0645f6b4f21ba4daf73a922022-12-21T22:21:48ZengIEEEIEEE Access2169-35362019-01-01713925813926310.1109/ACCESS.2019.29319848782517Estimating Zenith Tropospheric Delay Based on GPT2w ModelZan Liu0https://orcid.org/0000-0003-2447-4270Xihong Chen1Qiang Liu2Air and Missile Defense College, Air Force Engineering University (AFEU), Xi’an, ChinaAir and Missile Defense College, Air Force Engineering University (AFEU), Xi’an, ChinaAir and Missile Defense College, Air Force Engineering University (AFEU), Xi’an, ChinaTo precisely and conveniently estimate zenith tropospheric delay (ZTD), troposphere refractivity is deduced through global pressure and temperature 2w (GPT2w) model and surface meteorology devices, ZTD is estimated based on integration of refractivity in the zenith direction. When surface meteorological measurements are absent, all parameters including surface meteorology and lapse rate are estimated by GPT2w. Validation is carried out using observed data in the year 2012 at 8 international GNSS service (IGS) stations. Results indicate that when surface meteorological parameters are available, the annual accuracy is improved by 27% than Saastamoinen model. Meanwhile, annual bias of the other scheme is decreased by 21% than the GPT2w+Saastamoinen model. For most stations, the bias shows seasonal characteristics, high elevation, high longitude and low latitude can bring less bias.https://ieeexplore.ieee.org/document/8782517/Zenith tropospheric delay (ZTD)GPT2w modelrefractivitymeteorological parameters |
| spellingShingle | Zan Liu Xihong Chen Qiang Liu Estimating Zenith Tropospheric Delay Based on GPT2w Model IEEE Access Zenith tropospheric delay (ZTD) GPT2w model refractivity meteorological parameters |
| title | Estimating Zenith Tropospheric Delay Based on GPT2w Model |
| title_full | Estimating Zenith Tropospheric Delay Based on GPT2w Model |
| title_fullStr | Estimating Zenith Tropospheric Delay Based on GPT2w Model |
| title_full_unstemmed | Estimating Zenith Tropospheric Delay Based on GPT2w Model |
| title_short | Estimating Zenith Tropospheric Delay Based on GPT2w Model |
| title_sort | estimating zenith tropospheric delay based on gpt2w model |
| topic | Zenith tropospheric delay (ZTD) GPT2w model refractivity meteorological parameters |
| url | https://ieeexplore.ieee.org/document/8782517/ |
| work_keys_str_mv | AT zanliu estimatingzenithtroposphericdelaybasedongpt2wmodel AT xihongchen estimatingzenithtroposphericdelaybasedongpt2wmodel AT qiangliu estimatingzenithtroposphericdelaybasedongpt2wmodel |