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GPS (and other) sensors and CEON Technology and Implementation

GPS (and other) sensors and CEON Technology and Implementation. Bjorn Johns UNAVCO www.unavco.org. CEON Workshop October 2-5, 2003 Stockholm, Sweden. UNAVCO – A private, non-profit Facility to support high-precision scientific GPS applications. JPL. Boulder, Colorado.

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GPS (and other) sensors and CEON Technology and Implementation

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  1. GPS (and other) sensors and CEON Technology and Implementation Bjorn Johns UNAVCO www.unavco.org CEON Workshop October 2-5, 2003 Stockholm, Sweden

  2. UNAVCO – A private, non-profit Facility to support high-precision scientific GPS applications JPL Boulder, Colorado

  3. EarthScope/Plate Boundary Observatory – NSF MRE Backbone Clusters, non-volcanic Clusters, volcanic International Existing GPS instrumentation • A backbone of ~100 sparsely distributed continuous GPS receivers to provide a synoptic view of the entire North American plate boundary deformation zone. • Clusters of GPS receivers and strainmeters to be deployed in areas that require greater spatial and/or temporal resolution, such as major fault systems and magmatic centers (775 GPS, 200 strainmeters). • Unprecedented spatial resolution and spectral bandwidth on the scale of an entire plate boundary zone.

  4. Survey grade GPS base station Stable antenna monument Data management CPU Internet access Rover system for field use On-site data processing capability Option for real-time correction broadcast Typical GPS survey system www.arcticscience .org

  5. Local applications • Accurate and consistent spatial data • Remote sensing ground control/truth • GIS data capture • User defined output • Science data collection • Permafrost, sea-ice, glaciers, stream channel transects, shore bird survey grids…

  6. Example: GIS www.uaf.edu/toolik/

  7. Global applications(relevant to someone!) • Daily data in GPS data archive • Time series of site motion • GPS meteorology • GPS operations

  8. Example: Ny Ålesund GPS timeseries System in place to automatically fetch files, populate data archive with raw data and data products, including site position timeseries sopac.ucsd.edu

  9. Example: UCAR COSMIC data analysis center Tropospheric delay comparisons • Comparisons of CDAAC post-processed zenith delays with IGS final values • CDAAC software in place to automatically fetch files, populate database with comparison values and display reports, including global summary maps • Most sites show monthly average RMS differences with IGS of < 1cm with little bias www.cosmic.ucar.edu

  10. Example: Near real-time integrated water vapor data products www.suominet.ucar.edu

  11. ImplementationMaking it work for the local users • Requirements • Reliability • Local control • Access to technical support and training

  12. ImplementationMaking it work for the remote users • Requirements: • Reliability • Low latency • Access to data

  13. CEON EMAN AEON ISIRA SCANNET NEON ENVINET ImplementationChallenge: Making CEON work as a system

  14. CEON EMAN AEON ISIRA SCANNET NEON ENVINET ImplementationChallenge: Making CEON work as a system • Common reference frame for spatial data exchange

  15. CEON EMAN AEON ISIRA SCANNET NEON ENVINET ImplementationChallenge: Making CEON work as a system • Central, user-friendly, on-line data archive

  16. CEON EMAN AEON ISIRA SCANNET NEON ENVINET ImplementationChallenge: Making CEON work as a system • Standard data format

  17. CEON EMAN AEON ISIRA SCANNET NEON ENVINET ImplementationChallenge: Making CEON work as a system • Communal needs drive centralized control

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