Evaluation of Global Ionosphere TEC by comparison with VLBI data Mamoru Sekido, Tetsuro Kondo Eiji Kawai, and Michito Imae.

Slides:



Advertisements
Similar presentations
Processing of VLBI observation in St. Petersburg University Kudryashova Maria Astronomical Institute of Saint Petersburg University.
Advertisements

M. Gende 1,2, C. Brunini 1,2, F. Azpilicueta 1,2 Universidad Nacional de La Plata, Argentina 1 CONICET, Argentina 2 La Plata Ionospheric Model as a tool.
The day-to-day longitudinal variability of the global ionospheric density distribution: Preliminary results E.E. Pacheco and E. Yizengaw Institute for.
Repeat station crustal biases and accuracy determined from regional field models M. Korte, E. Thébault* and M. Mandea, GeoForschungsZentrum Potsdam (*now.
Space Weather Effects on GPS Thomas J. Bogdan, Director Space Weather Prediction Center NCEP/NWS/NOAA 325 Broadway, DSRC Room 2C109 Boulder, CO 80305,
Abstract Since the ionosphere is the interface between the Earth and space environments and impacts radio, television and satellite communication, it is.
Space Weather influence on satellite based navigation and precise positioning R. Warnant, S. Lejeune, M. Bavier Royal Observatory of Belgium Avenue Circulaire,
VieVS User Workshop 14 – 16 September, 2011 Vienna External Ionospheric Files Claudia Tierno Ros.
Wettzell WVR Workshop1 October 9-10, 2006 Use of NWM forecasts for converting T B to delay Arthur Niell MIT Haystack Observatory Mark Leidner AER, Inc.
Measurements Calibration EGU06-A-05466/G7-1TH5P-0488 Atmospheric parameter comparisons at the Tsukuba and Kashima VLBI stations during the CONT05 VLBI.
Phase Correction of VLBI with WVRs Alan Roy Ute Teuber Helge Rottmann Reinhard Keller.
TEC and its Uncertainty Ludger Scherliess Center for Atmospheric and Space Sciences Utah State University GEM Mini-Workshop San Francisco December 2014.
How Global Positioning Devices (GPS) work
(Station Dependent) Correlation in VLBI Observations John M. Gipson NVI, Inc./NASA GSFC 4 th IVS General Meeting 9-11 January 2006 Concepcion, Chile.
Ionosphere Precursors to the Dec 30, 2010 Mexicali Earthquake Rachel Thessin, CSI 763, May 11, 2010.
Part VI Precise Point Positioning Supported by Local Ionospheric Modeling GS894G.
Effects of ionospheric small- scale structures on GNSS G. WAUTELET Royal Meteorological Institute of Belgium Ionospheric Radio Systems & Techniques (IRST)
Monitoring the ionospheric activity using GNSS
1 First Results of the CMONOC GNSS Network Junping Chen Bin Wu, Shuhua Ye, Shanghai Astronomical Observatory
EGU General Assembly 2013, 7 – 12 April 2013, Vienna, Austria This study: is pioneer in modeling the upper atmosphere, using space geodetic techniques,
Part Va Centimeter-Level Instantaneous Long-Range RTK: Methodology, Algorithms and Application GS894G.
IRI Workshop 2005 TEC Measurements with Dual-Frequency Space Techniques and Comparisons with IRI T. Hobiger, H. Schuh Advanced Geodesy, Institute of Geodesy.
Radio Astronomy Applications Group Kashima Space Research Center National Institute of Information and Communications Technology EGU2005 GI1-1TH5P-0026.
Secular variation in Germany from repeat station data and a recent global field model Monika Korte and Vincent Lesur Helmholtz Centre Potsdam, German Research.
SVY 207: Lecture 13 Ambiguity Resolution
ASTROMETRY OBSERVATION OF SPACECRAFT WITH VERY LONG BASELINE INTERFEROMETRY ---- A STEP OF VLBI APPLICATION FOR SPACECRAFT NAVIGATION ---- M.Sekido, R.Ichikawa,H.Osaki,
Radio Astronomy Applications Group Kashima Space Research Center National Institute of Information and Communications Technology EGU2005 GI3-1TH5P-0057.
Sub-ionospheric Point hmhm Ionosphere Earth Surface Ionospheric Piercing Point High Resolution GPS-TEC Gradients in the Northern Hemisphere Ionospheric.
測地 VLBI 技術による 高精度周波数比較 VLBI MEASUREMENTS FOR FREQUENCY TRANSFER 日本測地学会第 112 回講演会 2009 年 11 月 6 日 ( 金 ) 産業技術総合研究所 Ⅴ. 測地測量・地球潮汐・測地 瀧口 博士 1 ,小山 泰弘 1 ,市川 隆一.
1 J July, Ionospheric Calibration for the GFO AltimeterXiaoqing JPL Review Ionospheric Calibration for the GFO Altimeter Xiaoqing Pi Byron.
Latest GNSS results of the CMONOC network and its application in earthquake monitoring Junping Chen, Yize Zhang, Yibing Xie, Weijie Tan, Sainan Yang, Bin.
35th COSPAR Scientific Assembly, Paris, July 18-25, IVS Products for Precise Global Reference Frames Wolfgang Schlüter Bundesamt für Kartographie.
GPS: “Where goeth thou” Thomas Herring With results from Jen Alltop: Geosystems Thesis Katy Quinn: Almost graduated Ph.D
A Geodesist’s View of the Ionosphere Gerald L. Mader National Geodetic Survey Silver Spring, MD.
GSI Japan - 21st of June 1999 GPS-Positioning using Virtual Reference Stations - Theory, Analysis and Applications Herbert Landau Spectra Precision Terrasat.
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.
Nov , /24 An Evaluation of the Practicability of Current Mapping Functions using Ray-traced Delays from JMA Mesoscale.
Unified Analysis Workshop, December 5-7, 2007, Beach Resort Monterey, CA GG S Proposals for Extended Parameterization in SINEX Markus Rothacher GeoForschungsZentrum.
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.
The current status of K5 eVLBI intensive session Takashima, Kazuhiro; Machida,Morito; Fujisaku, Junichi; Kokado, Kensuke; Shigematsu, Hiromi Geographical.
1 SVY 207: Lecture 12 Modes of GPS Positioning Aim of this lecture: –To review and compare methods of static positioning, and introduce methods for kinematic.
VLBI Oct Development Status of Broadband VLBI System (Gala-V) -(II) M.Sekido (1), K.Takefuji (1), H.Ujihara (1), M.Tsutsumi.
Astrometric VLBI Observation of Spacecraft with Phase Delay M.Sekido, R.Ichikawa,H.Osaki, T.Kondo,Y.Koyama (National Institute of Information and Communications.
View on GPS and Galileo ‘From across the Atlantic…’ Ruth E. Neilan International GNSS Service (IGS) Central Bureau Jet Propulsion Laboratory/California.
Ionospheric irregularities observed with a GPS network in Japan TOHRU ARAMAKI[1],Yuichi Otsuka[1],Tadahiko Ogawa[1],Akinori Saito[2] and Takuya Tsugawa[2]
Canada’s Natural Resources – Now and for the Future Broadband Delay Tutorial Bill Petrachenko, NRCan, FRFF workshop, Wettzell, Germany, March 18, 2009.
SHA: the GNSS Analysis Center at SHAO Junping Chen, Bin Wu, Xiaogong Hu Haojun Li, Xiao Pei, Yize Zhang Shanghai Astronomical Observatory (SHAO)
03/000 Effect of the reference radiosource instability on the TRF solution Australian Government Geoscience Australia 4 th General IVS Meeting, 9-13, January,
D. A. Galvan1; A. Komjathy1; M. P. Hickey2; A. Mannucci1
Chalmers University of Technology Site-Dependent Electromagnetic Effects in High-Accuracy Applications of GNSS Jan Johansson and Tong Ning Chalmers University.
Kenneth Johnston US Naval Observatory Presented by Jules McNeff International Committee on GNSS Provider’s Forum Bangalore, India 4 September 2007 GPS.
Modeling Errors in GPS Vertical Estimates Signal propagation effects –Signal scattering ( antenna phase center/multipath ) –Atmospheric delay ( parameterization,
Electron density profile retrieval from RO data Xin’an Yue, Bill Schreiner  Abel inversion error of Ne  Data Assimilation test.
Radio Astronomy Applications Group Kashima Space Research Center IUGG2003, Sapporo (C) ISAS Orbit Determination of The NOZOMI Spacecraft using Differential.
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.
GALOCAD GAlileo LOcal Component for nowcasting and forecasting Atmospheric Disturbances R. Warnant, G. Wautelet, S. Lejeune, H. Brenot, J. Spits, S. Stankov.
Tsunami-driven Traveling Ionospheric Disturbances (TIDs) From Artru et al., 2005.
AXK/JPL SBAS Training at Stanford University, October 27-30, 2003 Satellite Based Augmentation Systems Brazilian Ionosphere Group Training at Stanford.
Interminimum Changes in Global Total Electron Content and Neutral Mass Density John Emmert, Sarah McDonald Space Science Division, Naval Research Lab Anthony.
“Astrometry through beer goggles” Adam Deller Swinburne University
EMS Annual Meeting 2017 September 4-8, 2017 Dublin, Ireland
R. Warnant*, G. Wautelet*, S. Lejeune*, H. Brenot*,
Astrometry Observation of Spacecraft with Phase delay
M.Sekido, R.Ichikawa,H.Osaki, T.Kondo,Y.Koyama(CRL)
GPS Ionospheric Mapping at Natural Resources Canada
Correlation coefficients
Water Masers in NGC7538 Region
HG contribution to the GRC and more
Presentation transcript:

Evaluation of Global Ionosphere TEC by comparison with VLBI data Mamoru Sekido, Tetsuro Kondo Eiji Kawai, and Michito Imae

Motivation External Ionospheric delay correction is necessary for single frequency VLBI astrometry (e.g. Pulsar 1.4-2GHz) External Ionospheric delay correction is necessary for single frequency VLBI astrometry (e.g. Pulsar 1.4-2GHz) GPS network and technology is growing rapidly. GPS network and technology is growing rapidly.  Global Ionosphere map(GIM) is available at IGS analysis centers. Global Ionosphere Map (GIM) is useful for Global Ionosphere Map (GIM) is useful for  VLBI Astrometry (Pulsar etc…)  Radiometric measurements(Spacecraft Navigation, SELENE Project (0.2mm/s), …),if it has enough accuracy!!.,if it has enough accuracy!!.

On April 1, 2004 CRL and TAO will be reorganized as the National Institute of Information and Communications Technology Propagation delay

Content of the presentation 1. Comparison of GIM/CODE and VLBI TEC  Statistical comparison about error of GIM  Conclusion:  Bias error ~3TECU. Need more precise GIM including fine structure for correction. 2. Comparison on TEC rate  Conclusion: GIM is not good for correction for delay rate in VLBI at present. 3. Trial of using Japanese dense GPS network for TEC. 4. VLBI receiver bias– by product  It was not known until TEC comparison.

Global Ionosphere Map(GIM) produced by GPS observations IGS is working for providing Ionosphere TEC as one of the products. IAAC(CODE, NRCan, ESOC, JPL, UPC) IGS is working for providing Ionosphere TEC as one of the products. IAAC(CODE, NRCan, ESOC, JPL, UPC) Benefit of GIM/CODE Benefit of GIM/CODE  Daily 12(13) GIMs with 2 hours interval and related subroutines are available anytime by FTP.  It is expressed with 12(15)-deg.8(15)-ord. Spherical Harmonic expansion  No data interruptions since 1995

Global Ionosphere Map

IGS sites used for GIM/CODE

GIM/CODE 12(13) GIMs with 2 hours interval 12(13) GIMs with 2 hours interval Expression in 15-deg.15-ord. (12-deg./8- ord.) Spherical Harmonics expansion Expression in 15-deg.15-ord. (12-deg./8- ord.) Spherical Harmonics expansion Spherical single layer shell model Spherical single layer shell model  Single Layer Mapping Function  Modified SLM z z’

On April 1, 2004 CRL and TAO will be reorganized as the National Institute of Information and Communications Technology TEC Comparison GIM/CODE-VLBI True Ionosphere TEC GIM/CODE VTEC

On April 1, 2004 CRL and TAO will be reorganized as the National Institute of Information and Communications Technology How these comparison can evaluate error of the TEC MAP? known

On April 1, 2004 CRL and TAO will be reorganized as the National Institute of Information and Communications Technology VLBI data used for Comparisons DateExperiment 7-18 Apr.2000 KSP-VLBI 5-6 Jul.2000 NEOS-A Jul 2000 CORE Jul 2000 NEOS-A Jul CORE Jul NEOS-A jul 2000 NEOS-A Scans of KSP(100km) 6855 scans of CORE & NEOS

GIM/CODE-VLBI Kashima-Koganei(100km) Correlation Correlation  0.92 Prop.cff Prop.cff  0.87 Offset Offset  -3.1 TECU

  GIM – El relation (100km)  GIM,u =0.3 –0.6TECU

GIM/CODE-VLBI Algonquin-Wettzell (6000km) Correlation Correlation  0.99 Prop.cff Prop.cff  1.13 Offset Offset  57.6 TECU

  GIM – El relation (long baseline)  GIM =1-7TECU

On April 1, 2004 CRL and TAO will be reorganized as the National Institute of Information and Communications Technology   GIM – Baseline length relation GIM can be used to predict better than 10% of Ionospheric delay in VLBI observation

El, Baseline length dependency Baseline: 0-500km km km 8000km - El Cut off test El >=20 deg. El >=40 deg. El >=60 deg.

 2 GIM (baseline length) =Structure function of GIM error  Baseline Assumption Error of GIM is isotropic

Error Spectrum of GIM Assumption Error of GIM is isotropic

Delay (TEC) rate comparison Correlation on TEC rate was low even on long baseline Correlation on TEC rate was low even on long baseline Reasons will be Reasons will be  Low spatial resolution  2500x1700km  Low time resolution  2 hours interval. Algonquin - Wettzell

On April 1, 2004 CRL and TAO will be reorganized as the National Institute of Information and Communications Technology Traveling Ionospheric Disturbances detected by GEONET Provided by A.Saito in Kyoto Univ. (Saito te al., GRL Vol.25, , 1998) This sort of TIDs can contribute in TEC rate 5m TECU/sec > 5.e-4 TECU/sec

Regional Ionosphere Map with GEONET and GIM/CODE Dr. Ping in Mizusawa /NAOJ and Dr. Saito in Kyoto Univ. are trying to use GEONET (about 1000 GPSs in Japan) to make precise TECMAP. Dr. Ping in Mizusawa /NAOJ and Dr. Saito in Kyoto Univ. are trying to use GEONET (about 1000 GPSs in Japan) to make precise TECMAP. High Time and Spatial resolution (60 deg. 10min.) High Time and Spatial resolution (60 deg. 10min.) (Ping et al., EPS. Vol. 54 e13-16, 2002) (Ping et al., EPS. Vol. 54 e13-16, 2002)

VLBI receiver bias Bias comes from VLBI receiver delay difference between X and S. Bias comes from VLBI receiver delay difference between X and S. It used to be absorbed in clock offset and be not aware so far ( It has been pointed out by T. Herrings). It used to be absorbed in clock offset and be not aware so far ( It has been pointed out by T. Herrings).

VLBI (S/X) receiver biases Station Bias (ns) Error (ns) Algonquin Fortleza Gilcreek Hobart Hartrao Kokee Wettzell Westford0.51 Tsukuba Nyales Onsala Matera Since we have no any a priori knowledge on the bias, we put a condition Actually, we experienced these biases were constant regardless with experiment series or date. We have to aware these delay differences are relatively exist.

Conclusions GIM/CODE can predict VTEC better than 10 % of its magnitude at present. GIM/CODE can predict VTEC better than 10 % of its magnitude at present. GIM/CODE seems to have RMS error ~3 TECU at low spatial frequency. GIM/CODE seems to have RMS error ~3 TECU at low spatial frequency. About 100 degrees of SH model might be necessary to achieve the same accuracy with S/X VLBI. About 100 degrees of SH model might be necessary to achieve the same accuracy with S/X VLBI. High resolution GIMs in space and time is necessary for using it for delay rate correction (f<. High resolution GIMs in space and time is necessary for using it for delay rate correction (f<. VLBI Receiver bias was detected. VLBI Receiver bias was detected.