A Norwegian Ionosphere Model Based on GPS Data Anna B.O. Jensen Nordic Institute of Navigation Oslo, June 2008.

Slides:



Advertisements
Similar presentations
Jan Cisak, PolandAGS 2002, Wellington, New Zealand Atmospheric Impacts on GPS observations in Antarctica.
Advertisements

Scintillation effects on Galileo service performance
The Implementation of the Cornell Ionospheric Scintillation Model into the Spirent GNSS Simulator Marcio Aquino, Zeynep Elmas,
Earth Science Sector Characterization of high latitude GPS sensed ionospheric irregularities: Case studies Reza Ghoddousi-Fard¹, Paul Prikryl², Kjellmar.
GNSS ionosphere research activities at FCT/UNESP João Francisgo Galera Monico, Paulo De Oliveira Camargo FCT/UNESP - Presidente Prudente, SP.
Abstract Since the ionosphere is the interface between the Earth and space environments and impacts radio, television and satellite communication, it is.
Workshop EGNOS KRAKÓW GNSS RECEIVER TESTING TECHNIQUES IN A LABORATORY ENVIRONMENT Institute of Radar Technology Military University of Technology.
Measurements Calibration EGU06-A-05466/G7-1TH5P-0488 Atmospheric parameter comparisons at the Tsukuba and Kashima VLBI stations during the CONT05 VLBI.
P. Brekke 1 Brugge 16 November Norwegian Space Weather Assets Pål Brekke Norwegian Space Centre.
Mesoscale ionospheric tomography over Finland Juha-Pekka Luntama Finnish Meteorological Institute Cathryn Mitchell, Paul Spencer University of Bath 4th.
1 Improved Sea Surface Temperature (SST) Analyses for Climate NOAA’s National Climatic Data Center Asheville, NC Thomas M. Smith Richard W. Reynolds Kenneth.
Status of Multi-GNSS Monitoring Network Establishment Japan Aerospace Exploration Agency Satoshi Kogure APEC GIT/15 June 14, 2011.
Monday 13 th November GSY/050388/ © BAE SYSTEMS All Rights Reserved ESA Space Weather Applications Pilot Project Service Development.
Sporadic E seasonal variability and descent derived from GPS- COSMIC Radio Occultation 1 Department of Physics, Chinese Culture University, Taipei, Taiwan,
“Quickmaps and history of the effects of ionospheric scintillations on GPS/GLONASS signals” SDA for ESA Space Weather Applications Pilot Project J.J. Valette,
HY-2A Satellite Altimetric data Evaluation in the Arctic Ocean Yongcun Cheng Ole Baltazar Andersen.
Effects of ionospheric small- scale structures on GNSS G. WAUTELET Royal Meteorological Institute of Belgium Ionospheric Radio Systems & Techniques (IRST)
Different options for the assimilation of GPS Radio Occultation data within GSI Lidia Cucurull NOAA/NWS/NCEP/EMC GSI workshop, Boulder CO, 28 June 2011.
Ground Support Network operations for the GRAS Radio Occultation Mission R. Zandbergen, the GRAS GSN team (ESOC) and the Metop GRAS team (EUMETSAT) 09/09/2011.
10/7/ Innovative Solutions International Satellite Navigation Division ION NTM 01 Capabilities of the WAAS and EGNOS For Time Transfer SBAS, an Alternate.
Recent GNSS Activities at Geoscience Australia Gary Johnston, Guorong Hu, Anna Riddell Geodesy & Seismic Monitoring Branch, Geoscience Australia.
GPS How it Works For a full tutorial on GPS and its applications visit the Trimble WebsiteTrimble Website.
IGS Workshop 2008 The Galileo Ground Mission Segment Performances Francisco Amarillo-Fernandez, Massimo Crisci, Alexandre Ballereau John Dow, Martin Hollreiser,
Part Va Centimeter-Level Instantaneous Long-Range RTK: Methodology, Algorithms and Application GS894G.
June, 2003EUMETSAT GRAS SAF 2nd User Workshop. 2 The EPS/METOP Satellite.
EUREF Symposium, Paris, 6-8 June 2012 Impact of Individual GNSS Antenna Calibration Used in the EPN on Positioning Q. Baire, E. Pottiaux, C. Bruyninx,
Ground-based ionospheric networks in Europe Ljiljana R. Cander.
P. Wielgosz and A. Krankowski IGS AC Workshop Miami Beach, June 2-6, 2008 University of Warmia and Mazury in Olsztyn, Poland
Joint International GRACE Science Team Meeting and DFG SPP 1257 Symposium, Oct. 2007, GFZ Potsdam Folie 1 Retrieval of electron density profiles.
RECENT ENHANCEMENTS TO THE CDDIS IGS Network Systems Workshop November 2-5, 1998 Annapolis, MD Carey E. Noll Manager, CDDIS NASA GSFC Greenbelt, MD.
GALOCAD GAlileo LOcal Component for nowcasting and forecasting Atmospheric Disturbances R. Warnant*, G. Wautelet*, S. Lejeune*, H. Brenot*, J. Spits*,
VTEC prediction using a recursive artificial neural networks approach in Brazil: initial results Engineer School - University of São Paulo Wagner Carrupt.
Objective Data  The outlined square marks the area of the study arranged in most cases in a coarse 24X24 grid.  Data from the NASA Langley Research Center.
VARIABILITY OF TOTAL ELECTRON CONTENT AT EUROPEAN LATITUDES A. Krankowski(1), L. W. Baran(1), W. Kosek (2), I. I. Shagimuratov(3), M. Kalarus (2) (1) Institute.
Testing LW fingerprinting with simulated spectra using MERRA Seiji Kato 1, Fred G. Rose 2, Xu Liu 1, Martin Mlynczak 1, and Bruce A. Wielicki 1 1 NASA.
Mapping high-latitude TEC fluctuations using GNSS I.I. SHAGIMURATOV (1), A. KRANKOWSKI (2), R. SIERADZKI (2), I.E. ZAKHARENKOVA (1,2), Yu.V. CHERNIAK (1),
CISC Machine Learning for Solving Systems Problems Presented by: Suman Chander B Dept of Computer & Information Sciences University of Delaware Automatic.
Instrumental Surface Temperature Record Current Weather Data Sources Land vs. Ocean Patterns Instrument Siting Concerns Return Exam II For Next Class:
© 2014 The MITRE Corporation. All rights reserved. SBAS IWG #26 Meeting Delhi, India 5-7 February 2014 Roland Lejeune RTCA SC-159 Working Group 2 Summary.
Slide 1 GSOP Workshop, Reading, 31 Agust-1 September 2006 Temperature, Salinity and Sea Level: climate variability from ocean reanalyses (Intercomparison.
Flight Planning and Navigation GPS Navigation © 2011 Project Lead The Way, Inc.Aerospace Engineering.
P PP based on the processing of GPS static observations is limited by the number of visible satellites, among other things, which is often insufficient.
PENDING & PROPOSED MODEL CHANGES: SESSION RECOMMENDATIONS IGS core products AC modeling documentation Troposphere modeling Higher-order ionospheric corrections.
Ocean processes affecting ice-cover in the Arctic, and their impact on hydrocarbon exploration William Crawford Eddy Carmack Josef Cherniawsky Institute.
Preliminary results from assimilation of GPS radio occultation data in WRF using an ensemble filter H. Liu, J. Anderson, B. Kuo, C. Snyder, A. Caya IMAGe.
Ten-Year Simulations of U.S. Regional Climate Z. Pan, W. J. Gutowski, Jr., R. W. Arritt, E. S. Takle, F. Otieno, C. Anderson, M. Segal Iowa State University.
View on GPS and Galileo ‘From across the Atlantic…’ Ruth E. Neilan International GNSS Service (IGS) Central Bureau Jet Propulsion Laboratory/California.
AMSR-E Vapor and Cloud Validation Atmospheric Water Vapor –In Situ Data Radiosondes –Calibration differences between different radiosonde manufactures.
Geodetic Research Laboratory Department of Geodesy and Geomatics Engineering University of New Brunswick 2/20/2016 K. Cove 1 Carrier Phase Differential.
Kenneth Johnston US Naval Observatory Presented by Jules McNeff International Committee on GNSS Provider’s Forum Bangalore, India 4 September 2007 GPS.
12/12/01Fall AGU Vertical Reference Frames for Sea Level Monitoring Thomas Herring Department of Earth, Atmosphere and Planetary Sciences
IGARSS 2011, Vancuver, Canada July 28, of 14 Chalmers University of Technology Monitoring Long Term Variability in the Atmospheric Water Vapor Content.
© Copyright QinetiQ limited 2006 On the application of meteorological data assimilation techniques to radio occultation measurements of.
Real time reconstruction of 3-D electron density distribution over Europe with TaD profiler Ivan Kutiev 1,2, Pencho Marinov 1, Anna Belehaki 2 1 Bulgarian.
Relative positioning with Galileo E5 AltBOC code measurements DEPREZ Cécile Dissertation submitted to the University of Liège in partial requirements for.
Redundancy in Dynamic Positioning (DP) Applications based on Satellite Navigation. High Precision Navigation and Positioning Conference,
NATIONAL INSTITUTE FOR SPACE RESEARCH – INPE/MCT SOUTHERN REGIONAL SPACE RESEARCH CENTER – CRS/CCR/INPE – MCT FEDERAL UNIVERSITY OF SANTA MARIA - UFSM.
Control Methods Workshop 2010 campaign, Ispra April / 37 GNSS: how should we measure parcels in 2010 ? Cozmin LUCAU, Krasimira GANISHEVA,
Astronomical Institute University of Bern 1 Astronomical Institute, University of Bern, Switzerland * now at PosiTim, Germany 5th International GOCE User.
Towards development of a Regional Arctic Climate System Model ---
Status of GNSS ionospheric Study in Korea
Instrumental Surface Temperature Record
Difference between GPS ellipsoid and sea level heights (N)
Mid-latitude Electron Density Variations Under Magnetospheric Substorm Conditions As Determined From Istanbul Dynasonde Observations Aysegul Ceren MORAL,
R. Warnant*, G. Wautelet*, S. Lejeune*, H. Brenot*,
Instrumental Surface Temperature Record
Anne Karin Magnusson Norwegian Meteorological Institute, met.no Bergen
Experiments and Potential Applications
GPS Ionospheric Mapping at Natural Resources Canada
HG contribution to the GRC and more
Presentation transcript:

A Norwegian Ionosphere Model Based on GPS Data Anna B.O. Jensen Nordic Institute of Navigation Oslo, June 2008

Outline  Navigation in the arctic  Ionospheric activity at high latitudes  SATREF TM Ionosphere Model  Verification towards IGS GIM  Comparison with EGNOS ionosphere model  Summary

Navigation in the arctic (1)  Norway is located at high latitudes, from 60° to 80° N, mainly in the arctic region  GPS is used extensively as a navigational mean in the arctic  Unfortunately, GNSS performance is limited in the arctic compared to mid latitudes

Navigation in the arctic (2)  Much offshore activity in the Norwegian Sea  Need for reliable navigation  In the future: wIncreasing activity and more traffic due to global warming and more oil and gas exploration  Increasing need for navigation

Ionospheric activity at high latitudes  At high latitudes characteristics of the ionospheric activity are different than at mid latitudes: wHigher ionospheric variability wIncreased amount of scintillation  This does affect navigation users e.g. by: wReduced accuracy wPoor signal tracking (loss of lock)

60°N network Trimble gpsnet software Ionospheric activity at high latitudes Feb. 28, °N network

SATREF TM Ionosphere Model (1)  Several ionosphere models exist, but they are generally poor for high latitudes  In 2007 the NMA therefore started development of a regional Norwegian ionosphere model based on the SATREF TM network of GNSS stations

SATREF TM Ionosphere Model (2)  The model is based on: wGPS data from selected SATREF TM stations wEstimation of ionospheric delays in the stations wSpatial interpolation to obtain nationwide grid model

Test area

Test data Day of yearDateK-indexIono. activity DOY 015Jan. 15, – 4Low DOY 033Feb. 02, – 6Medium DOY 059Feb. 28, – 6Medium DOY 324Nov. 20, Medium

Verification towards GIM (1)  Verification with respect to the Global Ionosphere Model (GIM) of the IGS  IONEX files retrieved from the IGS web site, and L1 ionosphere delays extracted for comparison with SATREF TM Ionosphere Model  20 grid points used for verification

Verification towards GIM (2) DateMean [ meter ] Std. dev. [ meter ] Jan. 15, Feb. 02, Feb. 28, Nov. 20,  Differences, SATREF TM minus IGS GIM  30 second sampling, 20 grid points

Verification towards GIM (3)  Summing up: wMean of differences of cm is basically negligible Indicates no offset between the two models wStandard deviation of 12 – 19 cm Occur mainly because no filtering is applied to the SATREF TM model Lower standard deviation on the day with low ionospheric activity

Comparison with the EGNOS iono. model  Verification of the SATREF TM model towards the IGS GIM showed acceptable results  Therefore, the SATREF TM model is now used for a preliminary evaluation of the performance of the EGNOS ionosphere model in the arctic

Comparison with EGNOS iono. model DateMean [ meter ] Std. dev. [ meter ] Samples Jan. 15, Feb. 02, Feb. 28, Nov. 20,  Differences, SATREF TM minus EGNOS  16 grid points

Selected grid point – Feb. 28, 2008  EGNOS: blue, GIM: green, SATREF TM : red  EGNOS model is biased

Test area

Selected grid points – Feb. 28, 2008  EGNOS bias for upper grid point

Selected grid points – Feb. 2, 2008  Another day - again EGNOS bias for same point

16 grid points, Jan. 15, 2008

Future work  Modify model to run in real time wLots of programming  Further investigations to decide on: wCoverage area wGrid spacing wNumber of SATREF TM stations to include wTemporal update interval wInformation to users – web application

Summary  Development of the SATREF TM Ionosphere Model has been initiated  Verification of the SATREF TM Ionosphere Model towards the IGS GIM show very good results  Comparison with EGNOS model show deviations for some grid points wImprovement expected with new EGNOS version this summer

Acknowledgments  Thanks to the Norwegian Space Centre for providing support for the work  Thanks to Ola Øvstedal, Norwegian University of Life Sciences in Ås, for valuable discussions during the development phase