Impact of different NWM-derived mapping functions on VLBI and GPS analysis
Abstract In recent years, numerical weather models have shown the potential to provide a good representation of the electrically neutral atmosphere. This fact has been exploited for the modeling of space geodetic observations. The Vienna Mapping Functions 1 (VMF1) are the NWM-based model recommended...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-06-01
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| Series: | Earth, Planets and Space |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40623-018-0865-x |
| _version_ | 1818853519449391104 |
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| author | Thalia Nikolaidou Kyriakos Balidakis Felipe Nievinski Marcelo Santos Harald Schuh |
| author_facet | Thalia Nikolaidou Kyriakos Balidakis Felipe Nievinski Marcelo Santos Harald Schuh |
| author_sort | Thalia Nikolaidou |
| collection | DOAJ |
| description | Abstract In recent years, numerical weather models have shown the potential to provide a good representation of the electrically neutral atmosphere. This fact has been exploited for the modeling of space geodetic observations. The Vienna Mapping Functions 1 (VMF1) are the NWM-based model recommended by the latest IERS Conventions. The VMF1 are being produced 6 hourly based on the European Centre for Medium-Range Weather Forecasts operational model. UNB-VMF1 provide meteorological parameters aiding neutral atmosphere modeling for VLBI and GNSS, based on the same concept but utilizing the Canadian Meteorological Centre model. This study presents comparisons between the VMF1 and the UNB-VMF1 in both delay and position domains, using global networks of VLBI and GPS stations. It is shown that the zenith delays agree better than 3.5 mm (hydrostatic) and 20 mm (wet) which implies an equivalent predicted height error of less than 2 mm. In the position domain and VLBI analysis, comparison of the weighted root-mean-square error (wrms) of the height component showed a maximum difference of 1.7 mm. For 48% of the stations, the use of VMF1 reduced the height wrms of the stations by 2.6% on average compared to a respective reduction of 1.7% for 41% of the stations employing the UNB-VMF1. For the subset of VLBI stations participating in a large number of sessions, neither mapping function outranked the other. GPS analysis using Precise Point Positioning had a sub-mm respective difference, while the wrms of the individual solutions had a maximum value of 12 mm for the 1-year-long analysis. A clear advantage of one NWM over the other was not shown, and the statistics proved that the two mapping functions yield equal results in geodetic analysis. |
| first_indexed | 2024-12-19T07:38:06Z |
| format | Article |
| id | doaj.art-4152793bd56448b39c661d8f246496c3 |
| institution | Directory Open Access Journal |
| issn | 1880-5981 |
| language | English |
| last_indexed | 2024-12-19T07:38:06Z |
| publishDate | 2018-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Earth, Planets and Space |
| spelling | doaj.art-4152793bd56448b39c661d8f246496c32022-12-21T20:30:32ZengSpringerOpenEarth, Planets and Space1880-59812018-06-0170111610.1186/s40623-018-0865-xImpact of different NWM-derived mapping functions on VLBI and GPS analysisThalia Nikolaidou0Kyriakos Balidakis1Felipe Nievinski2Marcelo Santos3Harald Schuh4Department of Geodesy and Geomatics Engineering, University of New BrunswickGFZ German Research Centre for Geosciences, Space Geodetic TechniquesDepartment of Geodesy, Federal University of Rio Grande do SulDepartment of Geodesy and Geomatics Engineering, University of New BrunswickGFZ German Research Centre for Geosciences, Space Geodetic TechniquesAbstract In recent years, numerical weather models have shown the potential to provide a good representation of the electrically neutral atmosphere. This fact has been exploited for the modeling of space geodetic observations. The Vienna Mapping Functions 1 (VMF1) are the NWM-based model recommended by the latest IERS Conventions. The VMF1 are being produced 6 hourly based on the European Centre for Medium-Range Weather Forecasts operational model. UNB-VMF1 provide meteorological parameters aiding neutral atmosphere modeling for VLBI and GNSS, based on the same concept but utilizing the Canadian Meteorological Centre model. This study presents comparisons between the VMF1 and the UNB-VMF1 in both delay and position domains, using global networks of VLBI and GPS stations. It is shown that the zenith delays agree better than 3.5 mm (hydrostatic) and 20 mm (wet) which implies an equivalent predicted height error of less than 2 mm. In the position domain and VLBI analysis, comparison of the weighted root-mean-square error (wrms) of the height component showed a maximum difference of 1.7 mm. For 48% of the stations, the use of VMF1 reduced the height wrms of the stations by 2.6% on average compared to a respective reduction of 1.7% for 41% of the stations employing the UNB-VMF1. For the subset of VLBI stations participating in a large number of sessions, neither mapping function outranked the other. GPS analysis using Precise Point Positioning had a sub-mm respective difference, while the wrms of the individual solutions had a maximum value of 12 mm for the 1-year-long analysis. A clear advantage of one NWM over the other was not shown, and the statistics proved that the two mapping functions yield equal results in geodetic analysis.http://link.springer.com/article/10.1186/s40623-018-0865-xTroposphere modelingMapping functionVLBIGPSVMF1UNB-VMF1 |
| spellingShingle | Thalia Nikolaidou Kyriakos Balidakis Felipe Nievinski Marcelo Santos Harald Schuh Impact of different NWM-derived mapping functions on VLBI and GPS analysis Earth, Planets and Space Troposphere modeling Mapping function VLBI GPS VMF1 UNB-VMF1 |
| title | Impact of different NWM-derived mapping functions on VLBI and GPS analysis |
| title_full | Impact of different NWM-derived mapping functions on VLBI and GPS analysis |
| title_fullStr | Impact of different NWM-derived mapping functions on VLBI and GPS analysis |
| title_full_unstemmed | Impact of different NWM-derived mapping functions on VLBI and GPS analysis |
| title_short | Impact of different NWM-derived mapping functions on VLBI and GPS analysis |
| title_sort | impact of different nwm derived mapping functions on vlbi and gps analysis |
| topic | Troposphere modeling Mapping function VLBI GPS VMF1 UNB-VMF1 |
| url | http://link.springer.com/article/10.1186/s40623-018-0865-x |
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