Reference : Assessment of BLT Tide Gauge Benchmark Monitoring (TIGA) repro2 Solutions
Scientific congresses, symposiums and conference proceedings : Poster
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/10993/23012
Assessment of BLT Tide Gauge Benchmark Monitoring (TIGA) repro2 Solutions
English
Hunegnaw, Addisu mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Teferle, Felix Norman mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
17-Dec-2015
No
International
AGU Fall Meeting 2015, San Francisco, CA, USA, 14-18 December
14-12-2015 to 18-12-2015
American Geophysical Union
San Francisco
USA
[en] In 2013 the International GNSS Service (IGS) Tide Gauge Benchmark Monitoring (TIGA) Working Group (WG) started their reprocessing campaign, which proposes to re-analyze all relevant Global Positioning System (GPS) observations from 1994 to 2013. This re-processed dataset will provide high quality estimates of land motions, enabling regional and global high-precision geophysical/geodetic studies.
Several of the individual TIGA Analysis Centres (TACs) have completed processing the full history of GPS observations recorded by the IGS global network, as well as, many other GPS stations at or close to
tide gauges, which are available from the TIGA data centre at the University of La Rochelle (www.sonel.org). Following the recent improvements in processing models and strategies, this is the first complete reprocessing attempt by the BLT TIGA Analysis centre to provide homogeneous position time series. We report the quality of the multi-year daily solutions from the consortium of the British Isles continuous GNSS Facility (BIGF) and the University of Luxembourg TIGA Analysis Centres (BLT) based on the Bernese GNSS Software Version 5.2 using a double difference (DD) network processing strategy.
RUES, University of Luxembourg: High Performance Computing - ULHPC
University of Luxembourg - UL
Researchers
http://hdl.handle.net/10993/23012

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