In the framework of CERGOP II ASI is involved in the following workpackages: WP.l. Internet based seamless database for environmental studies; WP.3. Periodic determination of the reference frame CEGRN; WP.5. GPS data analysis and the definition of reference frames ; WP.6. Analysis of the long-term coordinate time series; WP.8. Impact of atmospheric effects on GPS height determination; WP.9. GPS based rapid service for meteorology and hazard assessment. This is a report which describes the activities carried out on CERGOP-H Project for the period October 2004 - March 2005. Most part of the report it's devoted to summarize the follow-on of the activities described in the previous report: the study of ongoing deformations in the Alpine-Eastern area, investigate by means of strain rate analysis, the Near Real Time ZTD products, estimates on a subset of 26 European stations and compared with respect to EUREF tropospheric estimates, the results obtained by the analysis of GPS data collected by a small regional network completely devoted to meteorology, and the analysis of displacement of large landslides areas monitored by GPS. Moreover the first results of an additional activity, an interferometer investigation on landslides motion, are reported.
ASI/CGS contribution to CERGOP II project covered the following topics: landslide monitoring, production and quality check of zenith total delays estimated for a global as well as regional GPS networks devoted to meteorology applications, RTK and navigation tests, critical analysis of GPS long time series helpful for geodynamic as well atmospheric investigations. For what concern the landslides monitoring the two sites under investigation: Aliano and Avigliano are located in Basilicata region, (South of Italy). These sites are affected by a dramatic creep of the ground which in the past was the cause of severe damages to the buildings and roads in the areas. We will show the state of art of the activities comparing GPS with Perrnanent Scatter IN-SAR technique For what concern the routine production of ZTD we will show a critical comparisons of our solutions with radio balloon observations and a discussion about the assessment of their reliability. Finally the results of a navigation experiment by using differential correction provided by EUREF-NTRIP service will be shown.
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In the framework of CERGOP II ASI is involved in the following workpackages: WP.1. Internet based seamless database for environmental studies WP.3. Periodic determination of the reference frame CEGRN WP.5. GPS data analysis and the definition of reference frames WP.6. Analysis of the long-term coordinate time series WP.8. Impact of atmospheric effects on GPS height determination WP.9. GPS based rapid service for meteorology and hazard assessment.
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The work packages in charge to ASI are: WP.l. Internet based seamless database for environmental studies; WP.3. Periodic determination of the reference frame CEGRN; WP.5. GPS data analysis and the definition of reference frames ; WP.6. Analysis of the long-term coordinate time series; WP.8. Impact of atmospheric effects on GPS height determination; WP.9. GPS based rapid service for meteorology and hazard assessment; We have the prime responsibility of the WP. 9. Our technical report concern just the activities on such WP and deals with the additional activities performed in the last 6 months.
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It is well known that the coordinates and the zenith total delays, estimated by the GPS, provide a big amount of information. Currently a lot of stations with a very long data time series are present all over the world which make now feasible to perform a critical analysis of the coordinates helpful for the detection of signals, such as: height displacements, velocities and strain rate suitable for geophysical interpretations. In the present work a method to assess the reliability of the time series is described and applied to some stations with a period of observations long 5 years at least. The method essentially build a "fingerprint" which give information how long time a signal can emerge from the time series. Furthermore with the method, harmonic signatures and jumps on the time series are detected and analysed. The method does not only detects the value of the jumps but also where they are placed along the time series. The good efficiency in the detection and evaluation of jumps is of utmost importance because they introduce spurious signatures which could dramatically delay the enhancement of the signals. So our method allows to detect jumps that could be neglected or not assessed or be themselves a signal to detect.
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