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GSFC DORIS contribution to ITRF2008 / Karine Le Bail in Advances in space research, vol 45 n° 12 (15/06/2010)
[article]
Titre : GSFC DORIS contribution to ITRF2008 Type de document : Article/Communication Auteurs : Karine Le Bail , Auteur ; Franck G. Lemoine, Auteur ; Douglas S. Chinn, Auteur Année de publication : 2010 Article en page(s) : pp 1481 - 1499 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux
[Termes IGN] données DORIS
[Termes IGN] International Terrestrial Reference Frame
[Termes IGN] orbitographie
[Termes IGN] orientation de la TerreRésumé : (Auteur) The NASA GSFC DORIS analysis center has provided weekly DORIS solutions from November 1992 to January 2009 (839 SINEX files) of station positions and Earth Orientation Parameters for inclusion in the DORIS contribution to ITRF2008. The NASA GSFC GEODYN orbit determination software was used to process the orbits and produce the normal equations. The weekly SINEX gscwd10 submissions included DORIS data from Envisat, TOPEX/Poseidon, SPOT-2, SPOT-3, SPOT-4, SPOT-5. The orbits were mostly seven days in length (except for weeks with data gaps or maneuvers). The processing used the GRACE-derived EIGEN-GL04S1 gravity model, updated modeling for time-variable gravity, the GOT4.7 ocean tide model and tuned satellite-specific macromodels for SPOT-2, SPOT-3, SPOT-4, SPOT-5 and TOPEX/Poseidon. The University College London (UCL) radiation pressure model for Envisat improves nonconservative force modeling for this satellite, reducing the median residual empirical daily along-track accelerations from 3.75 * 10-9 m/s2 with the a priori macromodel to 0.99 * 10-9 m/s2 with the UCL model. For the SPOT and Envisat DORIS satellite orbits from 2003 to 2008, we obtain average RMS overlaps of 0.8–0.9 cm in the radial direction, 2.1–3.4 cm cross-track, and 1.7–2.3 cm along-track. The RMS orbit differences between Envisat DORIS-only and SLR & DORIS orbits are 1.1 cm radially, 6.4 cm along-track and 3.7 cm cross-track and are characterized by systematic along-track mean offsets due to the Envisat DORIS system time bias of 15–10 ?s. We obtain a good agreement between the geometrically-determined geocenter parameters and geocenter parameters determined dynamically from analysis of the degree one terms of the geopotential. The intrinsic RMS weekly position repeatability with respect to the IDS-3 combination ranges from 2.5 to 3.0 cm in 1993–1994 to 1.5 cm in 2007–2008. Numéro de notice : A2010-362 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.asr.2010.01.030 En ligne : http://dx.doi.org/doi/10.1016/j.asr.2010.01.030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30556
in Advances in space research > vol 45 n° 12 (15/06/2010) . - pp 1481 - 1499[article]Quality assessment of the IDS contribution to ITRF2008 / Zuheir Altamimi in Advances in space research, vol 45 n° 12 (15/06/2010)
[article]
Titre : Quality assessment of the IDS contribution to ITRF2008 Type de document : Article/Communication Auteurs : Zuheir Altamimi , Auteur ; Xavier Collilieux , Auteur Année de publication : 2010 Article en page(s) : pp 1500 - 1509 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux
[Termes IGN] données DORIS
[Termes IGN] International Terrestrial Reference Frame
[Termes IGN] orbitographie
[Termes IGN] qualité des données
[Termes IGN] série temporelleRésumé : (Auteur) Doppler Orbitography Radiopositionning Integrated by Satellite (DORIS) is one of the four fundamental techniques contributing to the ITRF. The optimal coverage over the globe of the DORIS observing sites and sites co-located with GPS, allow a strong embedding of DORIS within the ITRF network. DORIS contributes to the access to ITRF through precise orbit determination of altimetric satellites with onboard DORIS receivers. The DORIS contribution to the ITRF2008 is enhanced by the fact that the solutions of seven analysis centers were included in the submitted combined time series of weekly station positions and daily polar motion. We evaluate the quality of the DORIS combined solution in terms of its agreement with the other techniques (VLBI, SLR, GPS) contributing to the ITRF2008 combination. We show in particular that the precisions of the current IDS products range between 1.5 to 2.6 mm for station positions (at the epochs of minimum variances); better than 1 mm/yr in velocities and between 170 and 260 micro-arc-seconds for polar motion, a significant improvement by a factor of three to five, compared to past data used in the ITRF2005 combination. This improvement is certainly due to improved analysis strategies employed by the seven IDS analysis centers that contributed to the combined weekly submitted solutions of station positions and polar motion. A spectral analysis of DORIS station height time series indicates that annual and semi-annual signals are dominant. However, TOPEX draconitic period of about 118 days is still detected in about 20% of the station position power spectra. DORIS height annual signals correlate well with GPS annual signal estimated at some co-located stations, which show that DORIS technique is able to detect loading signals. Numéro de notice : A2010-363 Affiliation des auteurs : LAREG (1991-2011) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.asr.2010.03.010 Date de publication en ligne : 15/03/2010 En ligne : https://doi.org/10.1016/j.asr.2010.03.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30557
in Advances in space research > vol 45 n° 12 (15/06/2010) . - pp 1500 - 1509[article]The international DORIS service (IDS): toward maturity / Pascal Willis in Advances in space research, vol 45 n° 12 (15/06/2010)
[article]
Titre : The international DORIS service (IDS): toward maturity Type de document : Article/Communication Auteurs : Pascal Willis , Auteur ; Hervé Fagard, Auteur ; Pascale Ferrage, Auteur ; Franck G. Lemoine, Auteur ; Carey E. Noll, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 1408 - 1420 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] données DORIS
[Termes IGN] ENVISAT
[Termes IGN] Global Geodetic Observing System
[Termes IGN] International DORIS Service
[Termes IGN] orbitographie
[Termes IGN] positionnement par DORIS
[Termes IGN] série temporelle
[Termes IGN] SPOT
[Termes IGN] station DORISRésumé : (Auteur) DORIS is one of the four space-geodetic techniques participating in the Global Geodetic Observing System (GGOS), particularly to maintain and disseminate the Terrestrial Reference Frame as determined by International Earth rotation and Reference frame Service (IERS). A few years ago, under the umbrella of the International Association of Geodesy, a DORIS International Service (IDS) was created in order to foster international cooperation and to provide new scientific products. This paper addresses the organizational aspects of the IDS and presents some recent DORIS scientific results. It is for the first time that, in preparation of the ITRF2008, seven Analysis Centers (AC’s) contributed to derive long-term time series of DORIS stations positions. These solutions were then combined into a homogeneous time series IDS-2 for which a precision of less than 10 mm was obtained. Orbit comparisons between the various AC’s showed an excellent agreement in the radial component, both for the SPOT satellites (e.g. 0.5–2.1 cm RMS for SPOT-2) and Envisat (0.9–2.1 cm RMS), using different software packages, models, corrections and analysis strategies. There is now a wide international participation within IDS that should lead to future improvements in DORIS analysis strategies and DORIS-derived geodetic products. Numéro de notice : A2010-359 Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.asr.2009.11.018 Date de publication en ligne : 24/11/2009 En ligne : http://dx.doi.org/10.1016/j.asr.2009.11.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30553
in Advances in space research > vol 45 n° 12 (15/06/2010) . - pp 1408 - 1420[article]Global gravity field determination using the GPS measurements made onboard the low Earth orbiting satellite CHAMP / Lars Prange (2010)
Titre : Global gravity field determination using the GPS measurements made onboard the low Earth orbiting satellite CHAMP Type de document : Rapport Auteurs : Lars Prange, Auteur Editeur : Zurich : Schweizerischen Geodatischen Kommission / Commission Géodésique Suisse Année de publication : 2010 Collection : Geodätisch-Geophysikalische Arbeiten in der Schweiz, ISSN 0257-1722 num. 81 Importance : 212 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-908440-25-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] champ de pesanteur terrestre
[Termes IGN] données CHAMP
[Termes IGN] données GPS
[Termes IGN] Global Positioning System
[Termes IGN] gravimétrie spatiale
[Termes IGN] modèle de géopotentiel
[Termes IGN] orbite basse
[Termes IGN] orbitographie
[Termes IGN] positionnement par GPS
[Termes IGN] validation des données
[Termes IGN] variation saisonnièreIndex. décimale : 30.40 Géodésie physique Résumé : (Auteur) The major goal of this work was to to generate "the best possible" static CHAMP-only gravity field model using most of the openly available CHAMP data. Firstly we wanted to assess the full potential but also the limitations of CHAMP data and a CHAMP-like satellite mission for gravity field determination. Secondly we wanted to gain as much insight as possible in determining gravity fields (static and time variable) from space-based GNSS data in general, because several current and future satellite missions (dedicated to gravity field research, but also non-dedicated) equipped with GNSS receivers could benefit from improvements made here. We believe to have come close to achieving these goals by generating, validating, and publishing the static Earth gravity field models AIUB-CHAMPOIS, AIUB-CHAMP02S, and AIUB-CHAMP03S. Furthermore, the largest constituents of the seasonal gravity field variations could be retrieved from CHAMP data, as well. The Celestial Mechanics Approach (CMA) was successfully applied for gravity field determination. Note de contenu : 1 Introduction
2 Measuring the Earth's gravity field
2.1 Terrestrial geodesy
2.2 Satellite geodesy
2.2.1 Optical observations
2.2.2 Microwave methods
2.2.3 Satellite Laser Ranging (SLR)
2.2.4 Satellite altimetry
2.2.5 High-low SST of CHAMP
2.2.6 Low-low SST with GRACE
2.2.7 Satellite gradiometry with GOCE
3 Orbit determination and gravity field recovery
3.1 Least squares adjustment
3.1.1 Basic concept
3.1.2 LSA techniques
3.2 Coordinate systems
3.2.1 Geocentric quasi-inertial system
3.2.2 Earth-fixed coordinate system
3.2.3 Satellite-fixed coordinate system
3.3 Satellite orbits
3.3.1 Dynamic orbits
3.3.2 Reduced-dynamic orbits
3.3.3 Kinematic orbits
3.4 The equation of motion
3.5 Spherical harmonic representation of the gravitational potential
3.6 Orbit and gravity field determination
3.6.1 Numerical integration of the primary equations
3.6.2 Numerical integration of the variational equations
4. Global Positioning System - GPS
4.1 History
4.2 Basic measurement principle
4.3 GPS orbit constellation and satellites
4.4 GPS signals
4.5 Modeling GPS observables
4.5.1 Observation equations
4.5.2 Observation differences
4.5.3 Linear combinations
4.6 The International GNSS Service (IGS)
4.7 Bernese GPS Software (BSW)
5 Data processing
5.1 Generation of the A1UB-CHAMP01S gravity field model
5.1.1 Data Screening
5.1.2 Gravity field recovery
5.1.3 The AIUB-CHAMP01S gravity field model
5.2 Generation of the AIUB-CHAMP02S gravity field model
5.2.1 GNSS model changes
5.2.2 GPS orbit reprocessing
5.2.3 GPS satellite clock reprocessing
5.2.4 CHAMP orbit determination
5.2.5 AIUB-CHAMP02S gravity field recovery
5.2.6 The AIUB-CHAMP02S gravity field model
5.3 Generation of the AIUB-CHAMP03S gravity field model
5.3.1 Estimation of high-rate GPS satellite clock corrections
5.3.2 CHAMP orbit determination
5.3.3 Data screening and gravity field recovery
5.3.4 The AIUB-CHAMP03S gravity field model
6 Studies and experiments
6.1 Studies related to A1UB-C11AMP01S
6.1.1 Orbit modeling with arc-specific parameters
6.1.2 Modeling of non-gravitational perturbations with dynamic force models
6.1.3 Accelerometer data
6.1.4 Simulation study
6.1.5 Observation weights .
6.1.6 Influence of the a priori gravity field model
6.1.7 Screening the kinematic positions
6.1.8 Quality variations in monthly gravity field solutions
6.1.9 Summary and discussion of the IUB-CHAMPOlS-related studies
6.2 Experiments related to AIUB-CI1AMP02S
6.2.1 The impact of GNSS model changes
6.2.2 Inconsistency in the low degree harmonics
6.2.3 Simulation study
6.2.4 Latitude dependency of the observation scenario
6.2.5 Summary and conclusion of the AIUB-CHAMP02S-related studies
6.3 Experiments related to AIUB-CHAMP03S ..
6.3.1 Influence of empirical PCV-models on gravity field recovery using CHAMP GPS data ..
6.3.2 Elevation-dependent weighting
6.3.3 Observation sampling
6.3.4 Inter-epoch correlations of kinematic positions
6.3.5 Position differences vs. positions
6.3.6 Impact of observations of eclipsing GPS satellites on CHAMP gravity field recovery ...
6.3.7 Temporal variations of the Earth's gravity field
6.3.8 Recovery of the low degree harmonics
6.3.9 Summary of the experiments related to AIUB-CHAMP03S
7 Gravity field validation
7.1 Validation methods
7.1.1 Formal errors
7.1.2 Comparison with other gravity field models
7.1.3 Comparison with ground data
7.1.4 Altimetry data
7.1.5 Orbit determination
7.2 Validation of AIUB-CHAMP01S
7.2.1 Internal validation .
7.2.2 External validation
7.3 Validation of AIUB-CHAMP02S
7.3.1 Internal validation
7.3.2 External validation
7.4 Validation of AIUB-CHAMP03S
7.4.1 Internal validation
7.4.2 External validation
8 Summary and conclusionsNuméro de notice : 10370 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Rapport de recherche En ligne : https://www.sgc.ethz.ch/sgc-volumes/sgk-81.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62409 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 10370-01 30.40 Livre Centre de documentation Géodésie Disponible Sciences of geodesy, vol 1. Advanced and future directions / Guochang Xu (2010)
Titre de série : Sciences of geodesy, vol 1 Titre : Advanced and future directions Type de document : Guide/Manuel Auteurs : Guochang Xu, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2010 Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-642-11740-4 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie
[Termes IGN] champ de pesanteur local
[Termes IGN] filtre de Kalman
[Termes IGN] géodésie marine
[Termes IGN] gravimètre absolu
[Termes IGN] gravimètre supraconducteur
[Termes IGN] gravimétrie
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] navigation
[Termes IGN] orbite
[Termes IGN] orbite képlerienne
[Termes IGN] orbite réelle
[Termes IGN] orbitographie
[Termes IGN] positionnement par GPS
[Termes IGN] rotation de la Terre
[Termes IGN] série temporelle
[Termes IGN] tectonique des plaques
[Termes IGN] télémétrie laser sur satellite
[Termes IGN] traitement de données GNSSIndex. décimale : 30.00 Géodésie - généralités Note de contenu : 1 ABSOLUTE AND RELATIVE GRAVIMETRY / LUDGER TIMMEN
1.1 Introduction
1.2 Characteristics of Absolute Gravimetry State-geodetic Surveys
1.3 Measurements with Free-Fall Absolute Gravimeters
1.4 Relative Gravimetry
1.5 Reduction of Non-tectonic Gravity Variations
1.6 Gravity Changes: Examples
2 ADAPTIVELY ROBUST KALMAN FILTERS WITH APPLICATIONS IN NAVIGATION / YUANXI YANG
2.1 Introduction
2.2 The Principle of Adaptively Robust Kalman Filtering
2.3 Properties of the Adaptive Kalman Filter Adaptive Filter
2.4 Three Kinds of Learning Statistics
2.5 Four Kinds of Adaptive Factors
2.6 Comparison of Two Fading Filters and Adaptively Robust Filter
2.7 Comparison of Sage Adaptive Filter and Adaptively Robust Filter
2.8 Some Application Examples
3 AIRBORNE GRAVITY FIELD DETERMINATION / RENE FORSBERG AND ARNE V. OLESEN
3.1 Introduction
3.2 Principles of Airborne Gravimetry
3.3 Filtering of Airborne Gravity
3.4 Some Results of Large-Scale Government Airborne Surveys
3.5 Downward Continuation of Airborne Gravimetry
3.6 Use of Airborne Gravimetry for Geoid Determination
3.7 Conclusions and Outlook
4 ANALYTIC ORBIT THEORY / GUOCHANG XU
4.1 Introduction
4.2 Perturbed Equation of Satellite Motion
4.3 Singularity-Free and Simplified Equations
4.4 Solutions of Extraterrestrial Disturbances
4.5 Solutions of Geopotential Perturbations
4.6 Principle of Numerical Orbit Determination
4.7 Principle of Analytic Orbit Determination
4.8 Summary and Discussions
5 DEFORMATION AND TECTONICS: CONTRIBUTION OF GPS MEASUREMENTS TO PLATE TECTONICS ? OVERVIEW AND RECENT DEVELOPMENTS / LUISA BASTOS, MACHIEL BOS AND RUI MANUEL FERNANDES
5.1 Introduction
5.2 Plate Tectonic Models
5.3 Mapping Issues
5.4 Geophysical Corrections for the GPS-Derived Station Positions
5.5 Time-Series Analysis
5.6 GPS and Geodynamics? An Example
5.7 Further Developments
6 EARTH ROTATION / FLORIAN SEITZ AND HARALD SCHUH
6.1 Reference Systems
6.2 Polar Motion
6.3 Variations of Length-of-Day and _UT
6.4 Physical Model of Earth Rotation
6.5 Relation Between Modelled and Observed Variations of Earth Rotation
7 EQUIVALENCE OF GPS ALGORITHMS AND ITS INFERENCE / GUOCHANG XU, YUNZHONG SHEN, YUANXI YANG, HEPING SUN, QIN ZHANG, JIANFENG GUO AND TA-KANG YEH
7.1 Introduction
7.2 Equivalence of Undifferenced and Differencing Algorithms
7.3 Equivalence of the Uncombined and Combining Algorithms
7.4 Parameterisation of the GPS Observation Model
7.5 Equivalence of the GPS Data Processing Algorithms
7.6 Inferences of Equivalence Principle
7.7 Summary
8 MARINE GEODESY / JOERG REINKING
8.1 Introduction
8.2 Bathymetry and Hydrography
8.3 Precise Navigation
9 SATELLITE LASER RANGING / LUDWIG COMBRINCK
9.1 Background
9.2 Range Model
9.3 Force and Orbital Model
9.4 Calculated Range
9.5 SLR System and Logistics
9.6 Network and International Collaboration
9.7 Summary
10 SUPERCONDUCTING GRAVIMETRY / JÜRGEN NEUMEYER
10.1 Introduction
10.2 Description of the Instrument
10.3 Site Selection and Observatory Design
10.4 Calibration of the Gravity Sensor
10.5 Noise Characteristics
10.6 Modelling of the Principal Constituents of the Gravity Signal
10.7 Analysis of Surface Gravity Effects
10.8 Combination of Ground (SG) and Space Techniques
10.9 Future Applications
11 SYNTHETIC APERTURE RADAR INTERFEROMETRY / YE XIA
11.1 Introduction
11.2 Synthetic Aperture Radar Imaging
11.3 SAR Interferometry
11.4 Differential SARInterferometry Measurement of Bam Earthquake
11.4.4 Example: Subsidence Monitoring in Tianjin Region
11.5 SAR Interferometry with Corner Reflectors (CR-INSAR)
11.6 High-Resolution TerraSAR-XNuméro de notice : 20959A Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Manuel Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62777 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 20959-02A 30.00 Livre Centre de documentation Géodésie Disponible 20959-01A DEP-ELG Livre Marne-la-Vallée Dépôt en unité Exclu du prêt Determination and analysis of stations coordinates based on Starlette and Lageos-1 & -2 satellites laser ranging data / Bachir Gourine in Bulletin des sciences géographiques, n° 24 (Septembre 2009)PermalinkMaking sense of inter-signal corrections: accounting for GPS satellite calibration parameters in legacy and modernized ionosphere correction algorithms / Avram Tetewsky in Inside GNSS, vol 4 n° 4 (July - August 2009)PermalinkWhere is GIOVE-A exactly? Using microwaves and laser ranging for precise orbit determination / Erik Schönemann in GPS world, vol 20 n° 7 (July 2009)PermalinkDevelopment of data infrastructure to support scientific analysis for the International GNSS Service / Carey E. Noll in Journal of geodesy, vol 83 n° 3-4 (March - April 2009)PermalinkThe International Global navigation satellite systems Service (IGS): development and achievements / Gerhard Beutler in Journal of geodesy, vol 83 n° 3-4 (March - April 2009)Permalinkvol 83 n° 3-4 - March - April 2009 - The International GNSS Service (IGS) in a changing landscape of Global Navigation Satellite Systems (Bulletin de Journal of geodesy) / R. KleesPermalinkSTARFIRE™ et algorithme temps réel Gipsy / T. Sharpe in Géomatique expert, n° 67 (01/02/2009)PermalinkA-GPS / Franck Van Diggelen (2009)PermalinkThe international Doris service, IDS activity report, January 2006 - December 2008 / Pierre Tavernier (2009)PermalinkCorsica SLR positioning campaigns (2002 and 2005) for satellite altimeter calibration missions / Bachir Gourine in Marine geodesy, vol 31 n° 2 (June - September 2008)Permalink