| Attributes | Values |
|---|
| rdf:type
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| rdfs:seeAlso
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| Description
| - Invited keynote presentation at the joint GNSS4SWEC Workshop and the International GNSS Symposium on Data Assimilation 2014, LMU, Munich, Germany. Abstract: Global Navigation Satellite System (GNSS) signal is propagated from a satellite to a receiver on the surface through the atmosphere. The GNSS signal path delay due to the neutral atmosphere, which is independent of a transmitted signal frequency, needs to be adjusted in any high-accurate GNSS application together with other geodetic parameters. Adequately precise information is not available from other source or a specific instrumentation, e.g. radiometers or radio sounding, is too expensive and impractical for this purpose. While the tropospheric path delay is considered as a noise in geodetic applications, it was found as useful information in other applications, such as meteorology or climatology. During last decades GNSS proved to be a valuable technique for the water vapour monitoring if relevant geodetic parameters (receiver and satellite positions) as well as all other systematic errors (biases, etc.) are precisely estimated or modelled. In such case, the effect of the GNSS signal propagation caused by the troposphere can be precisely estimated according to the requirements of the numerical weather forecasting applications in terms of accuracy, timeliness, etc. Since ninetieth, various methods of near real-time troposphere monitoring in support of numerical weather forecasting have been developed using ground-based GNSS permanent stations. This presentation gives background information on GNSS and its observed signals, it provides a brief description of the existing processing methods together with requirements of precise products and models, it summarizes other aspects related to the provision of GNSS products in near real-time including all necessary processing steps and, finally, it demonstrates GNSS tropospheric product quality.
- Invited keynote presentation at the joint GNSS4SWEC Workshop and the International GNSS Symposium on Data Assimilation 2014, LMU, Munich, Germany. Abstract: Global Navigation Satellite System (GNSS) signal is propagated from a satellite to a receiver on the surface through the atmosphere. The GNSS signal path delay due to the neutral atmosphere, which is independent of a transmitted signal frequency, needs to be adjusted in any high-accurate GNSS application together with other geodetic parameters. Adequately precise information is not available from other source or a specific instrumentation, e.g. radiometers or radio sounding, is too expensive and impractical for this purpose. While the tropospheric path delay is considered as a noise in geodetic applications, it was found as useful information in other applications, such as meteorology or climatology. During last decades GNSS proved to be a valuable technique for the water vapour monitoring if relevant geodetic parameters (receiver and satellite positions) as well as all other systematic errors (biases, etc.) are precisely estimated or modelled. In such case, the effect of the GNSS signal propagation caused by the troposphere can be precisely estimated according to the requirements of the numerical weather forecasting applications in terms of accuracy, timeliness, etc. Since ninetieth, various methods of near real-time troposphere monitoring in support of numerical weather forecasting have been developed using ground-based GNSS permanent stations. This presentation gives background information on GNSS and its observed signals, it provides a brief description of the existing processing methods together with requirements of precise products and models, it summarizes other aspects related to the provision of GNSS products in near real-time including all necessary processing steps and, finally, it demonstrates GNSS tropospheric product quality. (en)
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| Title
| - Overview of GNSS Data Processing Methods and Data Quality
- Overview of GNSS Data Processing Methods and Data Quality (en)
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| skos:prefLabel
| - Overview of GNSS Data Processing Methods and Data Quality
- Overview of GNSS Data Processing Methods and Data Quality (en)
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| skos:notation
| - RIV/00025615:_____/14:#0002093!RIV15-GA0-00025615
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
| - P(ED1.1.00/02.0090), P(GAP209/12/2207), P(LD14102)
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/00025615:_____/14:#0002093
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - GNSS; troposphere modelling (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...i/riv/kodPristupu
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...i/riv/mistoVydani
| - Ludwig-Maxmillians-Univeristat Munich, Germany
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| http://linked.open...in/vavai/riv/obor
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| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
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| http://linked.open...vavai/riv/projekt
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...iv/tvurceVysledku
| |
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