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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Physical geography. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (235 pages)
    Edition: 1st ed.
    ISBN: 9783319456294
    Series Statement: International Association of Geodesy Symposia Series ; v.146
    DDC: 526.1
    Language: English
    Note: Intro -- Preface -- Contents -- Part I Theory and Concepts -- The Helmert Transformation Approach in Network Densification Revisited -- 1 Introduction -- 2 HT-Based Network Mapping to a Target Reference Frame -- 3 Comparison of the CNA and HT-Based Estimators in Network Densification -- 4 The Analytic Proof of Eq. (12) -- 5 Conclusions -- References -- A Study on the Impact of Reference Frame Implementation Strategy on GNSS Time Series for Regional Network Analysis -- 1 Introduction -- 2 Standard, IGS Aligned and Stacking Solution for Coordinate Time Series -- 3 Comparison of the Derived Solutions -- 4 Conclusions -- References -- Validation of Components of Local Ties -- 1 Introduction -- 2 Strategy -- 2.1 Data -- 2.2 Single-Technique Solutions -- 2.3 Inter-Technique Solution -- 3 Results -- 4 Discussion and Conclusion -- References -- Part II Geodetic Measurement Techniques -- Combination of Space Geodetic Techniques on the Observation Level with c5++: Common Nuisance Parameters and Data Weighting -- 1 Introduction -- 2 Combination on the Observation Level with c5++ -- 2.1 Common Parameters -- 2.2 Variance Component Estimation -- 3 Combination of GPS and VLBI on the Observation Level During CONT11 -- 3.1 Results -- 3.2 Troposphere Ties -- 3.3 Clock Ties -- 3.4 Interpretation of the Obtained Variance Components -- 4 Discussion and Outlook -- References -- The Processing of Single Differenced GNSS Data with VLBI Software -- 1 Introduction -- 2 A Global Network -- 3 VieVS for VLBI Observations to GNSS Satellites -- 4 Data and Analysis -- 5 Conclusions -- References -- IVS Contribution to ITRF2014 -- 1 Introduction -- 2 Data and Combination Strategy -- 3 Preliminary Results -- 4 Station Coordinates and VLBI TRF -- 5 Earth Orientation Parameters -- 6 Conclusion and Outlook -- References. , Antenna Axis Offsets and Their Impact on VLBI Derived Reference Frames -- 1 Introduction -- 2 Data Analysis -- 3 Results -- 3.1 Axis Offsets -- 3.2 Terrestrial Reference Frame -- 3.3 Celestial Reference Frame -- 4 Conclusions -- References -- Scheduling VLBI Observations to Satellites with VieVS -- 1 Introduction -- 2 Scheduling of VLBI Satellite Observations -- 2.1 Introduction to Scheduling -- 2.2 Framework Conditions for Satellite Scheduling -- 3 VieVS Satellite Scheduling Module -- 3.1 Conditions for a Valid Satellite Scan -- 3.2 Satellite Orbit Prediction -- 3.3 Program Workflow -- 3.4 Implementation of Satellite Tracking -- 4 Satellite Observation Experiments -- 5 Summary and Outlook -- References -- Refined Tropospheric Delay Models for CONT11 -- 1 Introduction -- 2 Calculation of New Mapping Function Coefficients -- 3 Horizontal Gradients -- 4 Conclusions -- References -- Loading-Induced Deformation Due to Atmosphere, Ocean and Hydrology: Model Comparisons and the Impact on Global SLR, VLBI and GNSS Solutions -- 1 Introduction -- 2 Geophysical Fluid Models -- 2.1 Background -- 2.2 Model Comparisons -- 3 SLR, GNSS and VLBI Processing -- 4 Results -- 4.1 Station Coordinates -- 4.2 Earth Orientation Parameters -- 4.3 Geocenter Coordinates -- 5 Summary and Conclusions -- References -- The International Mass Loading Service -- 1 Introduction -- 2 The Use of High Resolution Models for Loading Computation -- 3 Mass Redistribution Models -- 4 Processing Pipeline -- 5 Validation -- 6 Using the International Mass Loading Service -- 7 Summary -- References -- Pre-combined GNSS-SLR Solutions: What Could be the Benefit for the ITRF? -- 1 Introduction -- 2 Observations Available for GNSS-SLR Space Ties -- 3 Procedure for Pre-combined GNSS-SLR Solutions -- 4 Combination Results -- 4.1 Local Ties in a Multi-year Solution. , 4.2 Space Ties from Multi-year Solution and Their Impact on the Scale -- 5 Conclusions and Outlook -- References -- GGOS-SIM: Simulation of the Reference Frame for the Global Geodetic Observing System -- 1 Introduction -- 2 Tasks and Objectives of the GGOS-SIM Project -- 3 On the Combination of Space Geodetic Techniques -- 4 The Assessment of the TRF by an Alternative Methodology -- 5 Summary -- References -- Overview of the ILRS Contribution to the Development of ITRF2013 -- 1 Introduction -- 2 Individual Solutions -- 3 ILRSA Intra-Technique Combination -- 4 ILRSA Assessment -- 5 Conclusion -- References -- Part III Regional Reference Frames -- A Spatial Analysis of Global Navigation Satellite System Stations Within the Context of the African Geodetic Reference Frame -- 1 Introduction -- 2 Theory and Background -- 2.1 ITRF and IGS -- 2.2 AFREF -- 2.3 Voronoi Diagrams Theory -- 3 Research Methodology -- 4 Results and Discussion -- 5 Conclusions and Recommendations -- References -- The Development of a Station Coordinate Estimation Program to Model Time Series from Continuous GPS Stations in New Zealand -- 1 Introduction -- 2 Post-seismic Deformation -- 3 Slow-Slip Events -- 4 Station Predictive Model -- 5 Fit of GNSS Time Series -- 6 GNSS Data -- 7 Modelling Time Dependent Processes -- 8 Discussion -- 9 Conclusions -- References -- Results from the Regional AUSTRAL VLBI Sessions for Southern Hemisphere Reference Frames -- 1 Introduction -- 2 The AUSTRAL Observing Program -- 2.1 Pre-VGOS Scheduling -- 2.2 Improved Scheduling -- 3 Results -- 3.1 Steady Improvements -- 3.2 Astrometry -- 4 Summary and Outlook -- References -- Implementation of the ETRS89 in Europe: Current Status and Challenges -- 1 Background -- 2 Implementation of the ETRS89 -- 2.1 EUREF Permanent Network -- 2.2 Site Categorization -- 3 Challenges -- 3.1 Introduction -- 3.2 Sweden. , 3.3 Greece -- 4 EUREF Strategy -- 4.1 EPN Densification -- 4.2 EUREF Working Group on "Deformation Models" -- 5 Summary -- References -- Defining a Local Reference Frame Using a Plate Motion Model and Deformation Model -- 1 Introduction -- 2 Plate Motion Models -- 3 Residual Deformation Models -- 4 Australian Case-Study: Stable Australian Plate Reference Frame (SAPRF) -- 5 Application of SAPRF2014 in Practice -- 6 Conclusion -- References -- A Development of the Russian Geodetic Reference Network -- 1 Introduction -- 2 Geodetic Reference System GSC-11 -- 3 Geocentric Global Coordinate System PZ-90.11 -- 4 Processing of the GPS and GLONASS Data -- 5 Summary -- References -- Weighted vs. Unweighted MCs for the Datum Definition in Regional Networks -- 1 Introduction -- 2 Weighted MCs in Network Adjustment -- 3 Numerical Tests -- 3.1 SIRGAS Network -- 3.2 Hellenic Network -- 4 Conclusions -- References -- Is Nubia Plate Rigid? A Geodetic Study of the Relative Motion of Different Cratonic Areas Within Africa -- 1 Introduction -- 2 Data Acquisition and Processing -- 3 Rigid Block Motion -- 3.1 West Region Euler Vector -- 3.2 Central Region Euler Vector -- 3.3 South Region Euler Vector -- 4 Combined Euler Vectors -- 4.1 West-Central Region Euler Vector -- 4.2 South-Central Region Euler Vector -- 4.3 Nubia Euler Vector -- 5 Comparison of Euler Vectors -- 6 Annual Signal Amplitude -- 7 Noise Power Spectrum -- 8 Discussion and Conclusions -- A.1 Electronic Supplementary Material -- References -- Part IV Celestial to Terrestrial Frame Transformations -- How Consistent are The Current Conventional Celestial and Terrestrial Reference Frames and The Conventional Earth Orientation Parameters? -- 1 Definition -- 1.1 ICRF Orientation and EOP -- 1.2 ITRF Orientation and EOP -- 2 Consistency Among Reference Frames and EOP -- 2.1 VLBI Data and Data Analysis. , 2.2 EOP Theory and Realization Through IERS 08 C04 -- 2.3 Consistency Assessment -- 3 Summary, Discussion and Conclusions -- References -- The Effects of Simulated and Observed Quasar Structure on the VLBI Reference Frame -- 1 Introduction -- 2 Source Structure Simulator -- 3 Effects of Quasar Structure -- 3.1 Terrestrial Reference Frame -- 3.2 Celestial Reference Frame -- 4 Mitigation Strategies -- 4.1 Structure Corrections -- 4.2 Quasar Variability -- 4.3 Scheduling with Respect to Source Structure -- 4.4 Structure-Dependent Weighting in Analysis -- 4.5 Re-parametrization of Source Positions -- References -- Towards Improved Lunar Reference Frames: LRO Orbit Determination -- 1 Introduction -- 2 Orbit Determination Strategy -- 3 Orbit Determination Results -- 4 Locating the Apollo 15 Laser Reflector -- 5 Conclusions -- References -- Part V Usage and Applications of Reference Frames in Geosciences -- Terrestrial Reference Frame Requirements for Studies of Geodynamics and Climate Change -- 1 Introduction -- 2 Terrestrial Reference Frame Characteristics That Have User Demands -- 2.1 The Associated Reference System -- 2.2 Reference Frame Definition and Inheritance -- 2.3 Realization -- 2.4 Spatial Coverage -- 2.5 Temporal Coverage -- 2.6 Quality -- 2.7 Life Cycle -- 3 Scientific User Demands: The Example of Sea Level Rise -- 4 Conclusions -- References -- The Phase 2 North America Land Data Assimilation System (NLDAS-2) Products for Modeling Water Storage Displacements for Plate Boundary Observatory GPS Stations -- 1 Introduction -- 2 Data Processing -- 2.1 Farrell's Green's Function Approach -- 2.2 Data Description -- 2.2.1 Water Storage Model -- 2.2.2 GPS Data -- 3 Results -- 4 Comparison of GLDAS and NLDAS-2 Noah Models -- 5 Conclusions -- References -- Non-parametric Estimation of Seasonal Variations in GPS-Derived Time Series -- 1 Introduction. , 2 Data.
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  • 2
    Keywords: Earth sciences ; Geophysics ; Earth Sciences ; Geodesy Congresses ; Konferenzschrift ; Geodäsie ; Geowissenschaften ; Bezugssystem
    Description / Table of Contents: This book series is composed of peer-reviewed proceedings of selected symposia organized by the International Association of Geodesy. It deals primarily with topics related to Geodesy as applied to the Earth Sciences : terrestrial reference frame, Earth gravity field, Geodynamics and Earth rotation, Positioning and engineering applications
    Type of Medium: Online Resource
    Pages: Online-Ressource (XI, 246 p. 100 illus., 94 illus. in color, online resource)
    Edition: 1st ed. 2017
    ISBN: 9783319456294
    Series Statement: International Association of Geodesy Symposia 146
    Language: English
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  • 3
    Publication Date: 2023-01-13
    Description: The continuously operating Global Positioning System (GPS) sites mounted on bedrock around the coast of Greenland provide important geodetic datasets to quantify the solid Earth's response to historical and present-day ice mass variations. The presence of colored noise and changeable seasonal signals makes it difficult to detect transient changes in GPS time series. Here we apply the Multichannel Singular Spectral Analysis to the combination of GPS data and Gravity Recovery and Climate Experiment (GRACE) data so that we can identify and fully utilize the spatial correlations from these two independent datasets. Using the GPS and GRACE data near Upernavik Isstrøm in West Greenland as an example, we demonstrate that this method successfully detects two transient signals in ice mass variations during 2008 and 2014. Our forward modeling of loading displacements due to changes in surface mass balance (SMB) and ice dynamics suggests that the transient change starting in mid-2008 was due to the combined contributions from dynamically-induced mass loss and SMB. The transient change starting in mid-2011 was mainly due to ablation Specifically, the ice melted more in 2012 and less in 2013 with little contribution from anomalies in accumulation. This dataset includes: (1) Vertical displacements inferred from GPS and GRACE with atmospheric loading, non-tidal ocean loading, and terrestrial water storage loading removed. Gaps are filled and linear trends are also removed. This data are used for multi-channel singular spectral analysis (M-SSA) in the paper. (2) Transient and seasonal signals extracted from GPS and GRACE data by M-SSA. (3) Transient and seasonal signals extracted from surface mass balance data by M-SSA. (4) Transient signals inferred from glacial dynamics.
    Keywords: MULT; Multiple investigations; Upernavik_Isstrom; West Greenland
    Type: Dataset
    Format: application/zip, 89.2 kBytes
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  • 4
    Publication Date: 2023-05-12
    Keywords: AASI; Area/locality; Calculated from GPS; Disko Island, West Greenland; Event label; ILUL; KAGA; Latitude of event; Longitude of event; Number; QEQE; Standard deviation; Uplift rate; Uplift rate, standard deviation; West Greenland
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
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  • 5
    Publication Date: 2023-05-12
    Keywords: AASI; Amplitude; Angle; Area/locality; Calculated from GPS; Disko Island, West Greenland; Event label; ILUL; KAGA; Latitude of event; Longitude of event; QEQE; Standard deviation; Uplift rate; Uplift rate, standard deviation; West Greenland
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 6
    Publication Date: 2023-05-12
    Keywords: AASI; Area/locality; Calculated from GPS; Disko Island, West Greenland; Event label; ILUL; KAGA; Latitude of event; Longitude of event; QEQE; Uplift rate; Uplift rate, standard deviation; West Greenland
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 7
    Publication Date: 2023-05-12
    Keywords: AASI; Area/locality; Calculated from GPS; Disko Island, West Greenland; Event label; ILUL; KAGA; Latitude of event; Longitude of event; QEQE; Uplift rate; Uplift rate, standard deviation; West Greenland
    Type: Dataset
    Format: text/tab-separated-values, 55 data points
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  • 8
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    PANGAEA
    In:  Supplement to: Khan, Shfaqat Abbas; Liu, Lin; Wahr, John; Howat, Ian M; Joughin, Ian; van Dam, Tonie; Fleming, Kevin (2010): GPS measurements of crustal uplift near Jakobshavn Isbræ due to glacial ice mass loss. Journal of Geophysical Research, 115(B9), B09405, https://doi.org/10.1029/2010JB007490
    Publication Date: 2023-12-13
    Description: We analyze 2006-2009 data from four continuous Global Positioning System (GPS) receivers located between 5 and 150 km from the glacier Jakobshavn Isbrae, West Greenland. The GPS stations were established on bedrock to determine the vertical crustal motion due to the unloading of ice from Jakobshavn Isbrae. All stations experienced uplift, but the uplift rate at Kangia North, only 5 km from the glacier front, was about 10 mm/yr larger than the rate at Ilulissat, located only ~45 km further away. This suggests that most of the uplift is due to the unloading of the Earth's surface as Jakobshavn thins and loses mass. Our estimate of Jakobshavn's contribution to uplift rates at Kangia North and Ilulissat are 14.6 ± 1.7 mm/yr and 4.9 ± 1.1 mm/yr, respectively. The observed rates are consistent with a glacier thinning model based on repeat altimeter surveys from NASA's Airborne Topographic Mapper (ATM), which shows that Jakobshavn lost mass at an average rate of 22 ± 2 km**3/yr between 2006 and 2009. At Kangia North and Ilulissat, the predicted uplift rates computed using thinning estimates from the ATM laser altimetry are 12.1 ± 0.9 mm/yr and 3.2 ± 0.3 mm/yr, respectively. The observed rates are slightly larger than the predicted rates. The fact that the GPS uplift rates are much larger closer to Jakobshavn than further away, and are consistent with rates inferred using the ATM-based glacier thinning model, shows that GPS measurements of crustal motion are a potentially useful method for assessing ice-mass change models.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 9
    Publication Date: 2018-11-14
    Description: The Global Positioning System (GPS) and Gravity Recovery and Climate Experiment (GRACE) provide important geodetic datasets to study glacial mass change. Applying the multichannel singular spectral analysis to the GPS-measured vertical and horizonal crustal displacement and GRACE-derived vertical displacement near Jakobshavn Isbræ (JI) in western Greenland from 2007 to 2017, we reconstruct the short-term loading displacements due to ice mass changes. Both the vertical and east displacements show strong seasonal variability. They also reveal three episodes of transient displacements: downward and eastward motion from late 2007 to around 2010, sustained upward and westward motion from 2010 to early 2013, and downward and eastward motion till late 2016. We also forward model the seasonal and transient displacements caused by surface mass balance (SMB) and glacier dynamics. Our model agrees well with the geodetic observations and provides quantitative insights into the contribution from SMB and ice dynamics to the ice mass changes. We find that SMB is the dominant contributor to the seasonal and transient displacements at three out of four GPS sites (AASI, ILUL, and QEQE). While, at the fourth GPS site (KAGA) that is closest to the glacier, the contributions to the transient displacements from SMB and glacier dynamics are comparable. The forward modeling also suggests that the dynamic mass change in the JI catchment underwent strong seasonal variations and these variations correlated more with the seasonal retreat and advance of the calving front than with the changes of glacial velocities. Our altimetry results reveal that the frontal portion of JI catchment lost 34 Gt in 2012 and this loss of ice declined to only 11 Gt in 2016 due to widespread thickening along the main flowline.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 10
    Publication Date: 2022-06-20
    Description: Accurate quantification of the millennial-scale mass balance of the Greenland ice sheet (GrIS) and its contribution to global sea-level rise remain challenging because of sparse in situ observations in key regions. Glacial isostatic adjustment (GIA) is the ongoing response of the solid Earth to ice and ocean load changes occurring since the Last Glacial Maximum (LGM; ~21 thousand years ago) and may be used to constrain the GrIS deglaciation history. We use data from the Greenland Global Positioning System network to directly measure GIA and estimate basin-wide mass changes since the LGM. Unpredicted, large GIA uplift rates of +12 mm/year are found in southeast Greenland. These rates are due to low upper mantle viscosity in the region, from when Greenland passed over the Iceland hot spot about 40 million years ago. This region of concentrated soft rheology has a profound influence on reconstructing the deglaciation history of Greenland. We reevaluate the evolution of the GrIS since LGM and obtain a loss of 1.5-m sea-level equivalent from the northwest and southeast. These same sectors are dominating modern mass loss. We suggest that the present destabilization of these marine-based sectors may increase sea level for centuries to come. Our new deglaciation history and GIA uplift estimates suggest that studies that use the Gravity Recovery and Climate Experiment satellite mission to infer present-day changes in the GrIS may have erroneously corrected for GIA and underestimated the mass loss by about 20 gigatons/year.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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