Quantitative assessment of meteorological and tropospheric Zenith Hydrostatic Delay models
Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this pape...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Di [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Schlagwörter: |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: Posttranscriptional actions of triiodothyronine on - Bargi-Souza, Paula ELSEVIER, 2018, including COSPAR information bulletin : the official journal of the Committee on Space Research (COSPAR), a scientific committee of the International Council of Scientific Unions (ICSU), Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:58 ; year:2016 ; number:6 ; day:15 ; month:09 ; pages:1033-1043 ; extent:11 |
| Links: |
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| DOI / URN: |
10.1016/j.asr.2016.05.055 |
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ELV013943995 |
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| 520 | |a Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. | ||
| 520 | |a Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. | ||
| 650 | 7 | |a UNB3m |2 Elsevier | |
| 650 | 7 | |a Radiosonde |2 Elsevier | |
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10.1016/j.asr.2016.05.055 doi GBVA2016008000005.pica (DE-627)ELV013943995 (ELSEVIER)S0273-1177(16)30278-2 DE-627 ger DE-627 rakwb eng 520 620 520 DE-600 620 DE-600 610 570 VZ 44.89 bkl Zhang, Di verfasserin aut Quantitative assessment of meteorological and tropospheric Zenith Hydrostatic Delay models 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. UNB3m Elsevier Radiosonde Elsevier Hopfield Elsevier GPT2/GPT2w Elsevier Zenith Hydrostatic Delay Elsevier Saastamoinen Elsevier Guo, Jiming oth Chen, Ming oth Shi, Junbo oth Zhou, Lv oth Enthalten in Elsevier Science Bargi-Souza, Paula ELSEVIER Posttranscriptional actions of triiodothyronine on 2018 including COSPAR information bulletin : the official journal of the Committee on Space Research (COSPAR), a scientific committee of the International Council of Scientific Unions (ICSU) Amsterdam [u.a.] (DE-627)ELV000905844 volume:58 year:2016 number:6 day:15 month:09 pages:1033-1043 extent:11 https://doi.org/10.1016/j.asr.2016.05.055 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.89 Endokrinologie VZ AR 58 2016 6 15 0915 1033-1043 11 045F 520 |
| spelling |
10.1016/j.asr.2016.05.055 doi GBVA2016008000005.pica (DE-627)ELV013943995 (ELSEVIER)S0273-1177(16)30278-2 DE-627 ger DE-627 rakwb eng 520 620 520 DE-600 620 DE-600 610 570 VZ 44.89 bkl Zhang, Di verfasserin aut Quantitative assessment of meteorological and tropospheric Zenith Hydrostatic Delay models 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. UNB3m Elsevier Radiosonde Elsevier Hopfield Elsevier GPT2/GPT2w Elsevier Zenith Hydrostatic Delay Elsevier Saastamoinen Elsevier Guo, Jiming oth Chen, Ming oth Shi, Junbo oth Zhou, Lv oth Enthalten in Elsevier Science Bargi-Souza, Paula ELSEVIER Posttranscriptional actions of triiodothyronine on 2018 including COSPAR information bulletin : the official journal of the Committee on Space Research (COSPAR), a scientific committee of the International Council of Scientific Unions (ICSU) Amsterdam [u.a.] (DE-627)ELV000905844 volume:58 year:2016 number:6 day:15 month:09 pages:1033-1043 extent:11 https://doi.org/10.1016/j.asr.2016.05.055 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.89 Endokrinologie VZ AR 58 2016 6 15 0915 1033-1043 11 045F 520 |
| allfields_unstemmed |
10.1016/j.asr.2016.05.055 doi GBVA2016008000005.pica (DE-627)ELV013943995 (ELSEVIER)S0273-1177(16)30278-2 DE-627 ger DE-627 rakwb eng 520 620 520 DE-600 620 DE-600 610 570 VZ 44.89 bkl Zhang, Di verfasserin aut Quantitative assessment of meteorological and tropospheric Zenith Hydrostatic Delay models 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. UNB3m Elsevier Radiosonde Elsevier Hopfield Elsevier GPT2/GPT2w Elsevier Zenith Hydrostatic Delay Elsevier Saastamoinen Elsevier Guo, Jiming oth Chen, Ming oth Shi, Junbo oth Zhou, Lv oth Enthalten in Elsevier Science Bargi-Souza, Paula ELSEVIER Posttranscriptional actions of triiodothyronine on 2018 including COSPAR information bulletin : the official journal of the Committee on Space Research (COSPAR), a scientific committee of the International Council of Scientific Unions (ICSU) Amsterdam [u.a.] (DE-627)ELV000905844 volume:58 year:2016 number:6 day:15 month:09 pages:1033-1043 extent:11 https://doi.org/10.1016/j.asr.2016.05.055 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.89 Endokrinologie VZ AR 58 2016 6 15 0915 1033-1043 11 045F 520 |
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10.1016/j.asr.2016.05.055 doi GBVA2016008000005.pica (DE-627)ELV013943995 (ELSEVIER)S0273-1177(16)30278-2 DE-627 ger DE-627 rakwb eng 520 620 520 DE-600 620 DE-600 610 570 VZ 44.89 bkl Zhang, Di verfasserin aut Quantitative assessment of meteorological and tropospheric Zenith Hydrostatic Delay models 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. UNB3m Elsevier Radiosonde Elsevier Hopfield Elsevier GPT2/GPT2w Elsevier Zenith Hydrostatic Delay Elsevier Saastamoinen Elsevier Guo, Jiming oth Chen, Ming oth Shi, Junbo oth Zhou, Lv oth Enthalten in Elsevier Science Bargi-Souza, Paula ELSEVIER Posttranscriptional actions of triiodothyronine on 2018 including COSPAR information bulletin : the official journal of the Committee on Space Research (COSPAR), a scientific committee of the International Council of Scientific Unions (ICSU) Amsterdam [u.a.] (DE-627)ELV000905844 volume:58 year:2016 number:6 day:15 month:09 pages:1033-1043 extent:11 https://doi.org/10.1016/j.asr.2016.05.055 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.89 Endokrinologie VZ AR 58 2016 6 15 0915 1033-1043 11 045F 520 |
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10.1016/j.asr.2016.05.055 doi GBVA2016008000005.pica (DE-627)ELV013943995 (ELSEVIER)S0273-1177(16)30278-2 DE-627 ger DE-627 rakwb eng 520 620 520 DE-600 620 DE-600 610 570 VZ 44.89 bkl Zhang, Di verfasserin aut Quantitative assessment of meteorological and tropospheric Zenith Hydrostatic Delay models 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. UNB3m Elsevier Radiosonde Elsevier Hopfield Elsevier GPT2/GPT2w Elsevier Zenith Hydrostatic Delay Elsevier Saastamoinen Elsevier Guo, Jiming oth Chen, Ming oth Shi, Junbo oth Zhou, Lv oth Enthalten in Elsevier Science Bargi-Souza, Paula ELSEVIER Posttranscriptional actions of triiodothyronine on 2018 including COSPAR information bulletin : the official journal of the Committee on Space Research (COSPAR), a scientific committee of the International Council of Scientific Unions (ICSU) Amsterdam [u.a.] (DE-627)ELV000905844 volume:58 year:2016 number:6 day:15 month:09 pages:1033-1043 extent:11 https://doi.org/10.1016/j.asr.2016.05.055 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.89 Endokrinologie VZ AR 58 2016 6 15 0915 1033-1043 11 045F 520 |
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quantitative assessment of meteorological and tropospheric zenith hydrostatic delay models |
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Quantitative assessment of meteorological and tropospheric Zenith Hydrostatic Delay models |
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Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. |
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Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. |
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Tropospheric delay has always been an important issue in GNSS/DORIS/VLBI/InSAR processing. Most commonly used empirical models for the determination of tropospheric Zenith Hydrostatic Delay (ZHD), including three meteorological models and two empirical ZHD models, are carefully analyzed in this paper. Meteorological models refer to UNB3m, GPT2 and GPT2w, while ZHD models include Hopfield and Saastamoinen. By reference to in-situ meteorological measurements and ray-traced ZHD values of 91 globally distributed radiosonde sites, over a four-years period from 2010 to 2013, it is found that there is strong correlation between errors of model-derived values and latitudes. Specifically, the Saastamoinen model shows a systematic error of about −3mm. Therefore a modified Saastamoinen model is developed based on the “best average” refractivity constant, and is validated by radiosonde data. Among different models, the GPT2w and the modified Saastamoinen model perform the best. ZHD values derived from their combination have a mean bias of −0.1mm and a mean RMS of 13.9mm. Limitations of the present models are discussed and suggestions for further improvements are given. |
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