Abstract's details
Validating DORIS meteo data
Event: 2022 IDS Workshop
Session: Research activities, new applications using DORIS data, new methods of processing DORIS data
Presentation type: Poster
With the adoption of the RINEX format to share DORIS data, it is now possible to provide meteorological data collected at system stations. This data (atmospheric pressure, temperature and relative humidity) are currently not used by the scientific community and are generally considered to be of low quality.
In this work, the meteorological data from the DORIS/RINEX files are validated against the discrete (eg. VMF) and empirical (eg. GMF) tropospheric models provided to the scientific community. We aim to assess their credibility in determining the troposhperic delay, by comparing the tropospheric delay values provided by these models to the values produced when actual measured data are introduced.
We focus on data from station DIOA, located at the premises of DSO, using data that span a few years, that allow for studying the DORIS meteo data at various atmospheric conditions.
In this work, the meteorological data from the DORIS/RINEX files are validated against the discrete (eg. VMF) and empirical (eg. GMF) tropospheric models provided to the scientific community. We aim to assess their credibility in determining the troposhperic delay, by comparing the tropospheric delay values provided by these models to the values produced when actual measured data are introduced.
We focus on data from station DIOA, located at the premises of DSO, using data that span a few years, that allow for studying the DORIS meteo data at various atmospheric conditions.
Contribution: IDS22RES-Validating_DORIS_meteo_data.pdf (pdf, 853 ko)
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