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Time Series of GPS stations in the Near East

Time Series of GPS stations in the Near East. Cornelia Haslinger 1 , Günter Stangl 2. 1 Space Research Institute, Austrian Academy of Sciences 2 Federal Office of Metrology and Surveying (BEV). EUREF Symposium 2005 – Vienna, June 1-3. Table of Contents. Motivation Testing Area

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Time Series of GPS stations in the Near East

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  1. Time Series of GPS stations in the Near East Cornelia Haslinger1, Günter Stangl2 1 Space Research Institute, Austrian Academy of Sciences 2 Federal Office of Metrology and Surveying (BEV) EUREF Symposium 2005 – Vienna, June 1-3

  2. Table of Contents • Motivation • Testing Area • GPS Stations • Data Preparation • Time Series of Coordinate Differences • East component: ANKR, ISTA, MERS, NICO, TRAB, TUBI • North component: BAHR, DRAG, HALY, NAMA, RAMO, SOLA • Up component: CRAO, NSSP, TRAB, ZECK • Conclusions • Planned Activities EUREF Symposium 2005 – Vienna, June 1-3

  3. Motivation • Only a few studies about the East Mediterranean, the Arabian, and the Near East areas are existing • Affiliations to different micro plates of GPS stations in the east Mediterranean area are not known exactly • Similarities in the coordinate differences of nearby GPS stations have to be recognised • Analysis of common movements are required • The reasons for and the consequences of potential periodic effects have to be analysed, especially in the frequency domain EUREF Symposium 2005 – Vienna, June 1-3

  4. Testing area Legend: IGS / EPN IGS EPN UNAVCO EUREF Symposium 2005 – Vienna, June 1-3

  5. GPS stations from the extended EUREF monitoring network processed by the OLG Graz • Data taken from GPS week 1107 (2001-03-25) to GPS week 1315 (2005-03-26) GPS stations EUREF Symposium 2005 – Vienna, June 1-3

  6. Weekly solutions processed with Bernese 4.2. • Combination of the normal equations, BUCU held fixed • Data splitting • Plots of the coordinate differences (N, E, U) station by station Data preparation • Localisation and elimination of personal faults (example: wrong antenna in Halat Ammar) • Combined plots of the coordinate differences (4 to 6 neighbouring stations together) EUREF Symposium 2005 – Vienna, June 1-3

  7. Time series • The time series of ISTA, TRAB, TUBI are similar (in between ± 5 mm) • MERS and NICO differ from the others, but they are also similar to each other • The time series of Ankara drift (more or less linear) in a westward direction; they follow complete different characteristics than the stations in the surrounding area EUREF Symposium 2005 – Vienna, June 1-3

  8. Time series • A trend becomes appearent, especially at the time series of Yerevan • There is a periodic effect with the maxima in spring 2002-03-21 2003-03-21 2004-03-21 2005-03-21 • The time series of these stations are very similar, they show the same movements/drifts except for Yerevan (trends in a northward direction) EUREF Symposium 2005 – Vienna, June 1-3

  9. Time series • All stations follow the characteristics of a sawtooth with the maxima in spring • The Saudi Arabian stations have a larger amplitude than the Israeli ones 2002-03-21 2003-03-21 2004-03-21 2005-03-21 • All stations have the same characteristic of movements in the Up component • Unfortunately there are no data of the Saudi Arabian stations before GPS week 1259 EUREF Symposium 2005 – Vienna, June 1-3

  10. Conclusions • The time series of the analysed stations show that all of the stations have similar movements in the three test areas. It can be assumed that there are no seperately moving blocks. The transition zones should be investigated by a denser network • Ankara seems to be separated on the Anatolian plate, because the movements of the sourrounding stations all show other characteristics • All stations follow periodic effects with the maxima in spring, especially in the North and Up component. EUREF Symposium 2005 – Vienna, June 1-3

  11. Planned Activities • More (later) data are required to compensate the late beginning of most of the GPS stations. Especially the data of AMMN, TEHN and YIBL are needed because they seem to be very interesting to analyse because of their local situation • Periodic effects have to be analysed carefully • Analyses in frequency domain will be done to be able to recognise periodic effects which are not visible in the time domain • It is planned to apply filters to eliminate high or low frequencies to be able to analyse the remaining frequencies carefully EUREF Symposium 2005 – Vienna, June 1-3

  12. Time Series of GPS stations in the Near East Thank you for your attention! EUREF Symposium 2005 – Vienna, June 1-3

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