Plate Boundary Observatory and related networks: GPS data analysis methods and geodetic products

The Geodesy Advancing Geosciences and EarthScope (GAGE) Facility Global Positioning System (GPS) Data Analysis Centers produce position time series, velocities, and other parameters for approximately 2000 continuously operating GPS receivers spanning a quadrant of Earth's surface encompassing the high Arctic, North America, and Caribbean. The purpose of this review is to document the methodology for generating station positions and their evolution over time and to describe the requisite trade‐offs involved with combination of results. GAGE GPS analysis involves formal merging within a Kalman filter of two independent, loosely constrained solutions: one is based on precise point positioning produced with the GIPSY/OASIS software at Central Washington University and the other is a network solution based on phase and range double‐differencing produced with the GAMIT software at New Mexico Institute of Mining and Technology. The primary products generated are the position time series that show motions relative to a North America reference frame and secular motions of the stations represented in the velocity field. The position time series themselves contain a multitude of signals in addition to the secular motions. Coseismic and postseismic signals, seasonal signals from hydrology, and transient events, some understood and others not yet fully explained, are all evident in the time series and ready for further analysis and interpretation. We explore the impact of analysis assumptions on the reference frame realization and on the final solutions, and we compare within the GAGE solutions and with others.

[1]  Charles C. Counselman,et al.  Interferometric analysis of GPS phase observations , 1986 .

[2]  J. Mitrovica,et al.  Crustal loading near Great Salt Lake, Utah , 2003 .

[3]  Thomas A. Herring,et al.  Transient signal detection using GPS measurements: Transient inflation at Akutan volcano, Alaska, during early 2008 , 2011 .

[4]  Xavier Collilieux,et al.  ITRF2008 plate motion model , 2011 .

[5]  Z. Altamimi,et al.  ITRF2008: an improved solution of the international terrestrial reference frame , 2011 .

[6]  Zuheir Altamimi,et al.  Strategies to mitigate aliasing of loading signals while estimating GPS frame parameters , 2011, Journal of Geodesy.

[7]  Xavier Collilieux,et al.  IGS08: the IGS realization of ITRF2008 , 2012, GPS Solutions.

[8]  R. Lohman,et al.  The SCEC Geodetic Transient‐Detection Validation Exercise , 2013 .

[9]  Anthony J. Mannucci,et al.  A global mapping technique for GPS‐derived ionospheric total electron content measurements , 1998 .

[10]  T. Melbourne,et al.  Future Cascadia megathrust rupture delineated by episodic tremor and slip , 2009 .

[11]  A. Chulliat,et al.  International Geomagnetic Reference Field: the eleventh generation , 2010 .

[12]  J. Bernard Minster,et al.  GPS detection of ionospheric perturbations following the January 17, 1994, Northridge Earthquake , 1995 .

[13]  Frédéric Fabry,et al.  Precipitable Water from GPS over the Continental United States: Diurnal Cycle, Intercomparisons with NARR, and Link with Convective Initiation , 2015 .

[14]  R. Snay,et al.  Modeling 3‐D crustal velocities in the United States and Canada , 2016 .

[15]  Remko Scharroo,et al.  Generic Mapping Tools: Improved Version Released , 2013 .

[16]  J. Nocquet,et al.  Slip distribution of the February 27, 2010 Mw = 8.8 Maule Earthquake, central Chile, from static and high‐rate GPS, InSAR, and broadband teleseismic data , 2010 .

[17]  K. Heki,et al.  GPS snow depth meter with geometry-free linear combinations of carrier phases , 2012, Journal of Geodesy.

[18]  Peter Steigenberger,et al.  Generation of a consistent absolute phase-center correction model for GPS receiver and satellite antennas , 2007 .

[19]  Pierre Briole,et al.  Sounding the plume of the 18 August 2000 eruption of Miyakejima volcano (Japan) using GPS , 2005 .

[20]  E. Cardellach,et al.  Global distortion of GPS networks associated with satellite antenna model errors , 2007 .

[21]  J. Langbein,et al.  Improved stability of a deeply anchored geodetic monument for deformation monitoring , 1995 .

[22]  G. Blewitt Self‐consistency in reference frames, geocenter definition, and surface loading of the solid Earth , 2003 .

[23]  Arthur J. Rodgers,et al.  Kinematic finite-source model for the 24 August 2014 South Napa, California, earthquake from joint inversion of seismic, GPS, and InSAR data , 2015 .

[24]  Dynamics and rapid migration of the energetic 2008–2009 Yellowstone Lake earthquake swarm , 2010 .

[25]  J Johansson Continuous GPS measurement of postglacial adjustment in Fennoscandia, 1. , 2002 .

[26]  Sridhar Anandakrishnan,et al.  Open access to geophysical data sets requires community responsibility , 2012 .

[27]  W. Peltier,et al.  Space geodesy constrains ice age terminal deglaciation: The global ICE‐6G_C (VM5a) model , 2015 .

[28]  Michael R. Craymer,et al.  Observation of glacial isostatic adjustment in “stable” North America with GPS , 2007 .

[29]  Peter Steigenberger,et al.  Impact of higher‐order ionospheric terms on GPS estimates , 2005 .

[30]  C. Rizos,et al.  The International GNSS Service in a changing landscape of Global Navigation Satellite Systems , 2009 .

[31]  T. Herring,et al.  GPS Meteorology: Remote Sensing of Atmospheric Water Vapor Using the Global Positioning System , 1992 .

[32]  Galina Dick,et al.  Impact of GPS satellite antenna offsets on scale changes in global network solutions , 2005 .

[33]  Paul Bodin,et al.  Using 1-Hz GPS Data to Measure Deformations Caused by the Denali Fault Earthquake , 2003, Science.

[34]  W. Peltier GLOBAL GLACIAL ISOSTASY AND THE SURFACE OF THE ICE-AGE EARTH: The ICE-5G (VM2) Model and GRACE , 2004 .

[35]  Kenneth W. Hudnut,et al.  The 2014 Mw 6.1 South Napa Earthquake: A Unilateral Rupture with Shallow Asperity and Rapid Afterslip , 2015 .

[36]  Eric J. Fielding,et al.  Geodetic Constraints on the 2014 M 6.0 South Napa Earthquake , 2015 .

[37]  J. Famiglietti,et al.  Estimating snow water equivalent from GPS vertical site-position observations in the western United States , 2013, Water resources research.

[38]  J. Wahr,et al.  The use of GPS horizontals for loading studies, with applications to northern California and southeast Greenland , 2013 .

[39]  Yehuda Bock,et al.  Southern California permanent GPS geodetic array: Error analysis of daily position estimates and site velocities , 1997 .

[40]  G. Blewitt,et al.  Uplift and seismicity driven by groundwater depletion in central California , 2014, Nature.

[41]  J. Beavan Noise properties of continuous GPS data from concrete pillar geodetic monuments in New Zealand and comparison with data from U.S. deep drilled braced monuments , 2005 .

[42]  Simon D. P. Williams,et al.  CATS: GPS coordinate time series analysis software , 2008 .

[43]  François Peyret,et al.  High-precision application of GPS in the field of real-time equipment positioning , 2000 .

[44]  J. Sauber,et al.  Glacier Ice Mass Fluctuations and Fault Instability in Tectonically Active Southern Alaska , 2013 .

[45]  Michael B. Heflin,et al.  The effect of the second order GPS ionospheric correction on receiver positions , 2003 .

[46]  E. Small,et al.  Sensing vegetation growth with reflected GPS signals , 2010 .

[47]  F. Nievinski,et al.  Can we measure snow depth with GPS receivers? , 2009 .

[48]  S. Desai,et al.  Self-consistent treatment of tidal variations in the geocenter for precise orbit determination , 2014, Journal of Geodesy.

[49]  E. Small,et al.  Use of GPS receivers as a soil moisture network for water cycle studies , 2008 .

[50]  Yehuda Bock,et al.  Error analysis of continuous GPS position time series , 2004 .

[51]  Chris Rizos,et al.  The International GNSS Service in a changing landscape of Global Navigation Satellite Systems , 2009 .

[52]  Chien-Ping Lee,et al.  Ionospheric GPS total electron content (TEC) disturbances triggered by the 26 December 2004 Indian Ocean tsunami , 2006 .

[53]  Yehuda Bock,et al.  Detection of arbitrarily large dynamic ground motions with a dense high‐rate GPS network , 2004 .

[54]  Yehuda Bock,et al.  Real-Time Strong-Motion Broadband Displacements from Collocated GPS and Accelerometers , 2011 .

[55]  John Langbein,et al.  Noise in two‐color electronic distance meter measurements revisited , 2004 .

[56]  J. Johansson,et al.  Continuous GPS measurements of postglacial adjustment in Fennoscandia 1. Geodetic results , 2002 .

[57]  Penina Axelrad,et al.  Improving the precision of high-rate GPS , 2007 .

[58]  T. Wright,et al.  Real‐time, reliable magnitudes for large earthquakes from 1 Hz GPS precise point positioning: The 2011 Tohoku‐Oki (Japan) earthquake , 2012 .

[59]  Felipe G. Nievinski,et al.  Inverse Modeling of GPS Multipath for Snow Depth Estimation—Part I: Formulation and Simulations , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[60]  Jaume Sanz,et al.  Performance of different TEC models to provide GPS ionospheric corrections , 2002 .

[61]  A. Komjathy,et al.  The 2009 Samoa and 2010 Chile tsunamis as observed in the ionosphere using GPS total electron content , 2011 .

[62]  A. Niell Global mapping functions for the atmosphere delay at radio wavelengths , 1996 .

[63]  D. Nandy,et al.  The unusual minimum of sunspot cycle 23 caused by meridional plasma flow variations , 2011, Nature.

[64]  Hiroshi Munekane,et al.  The 2011 off the Pacific coast of Tohoku Earthquake and its aftershocks observed by GEONET , 2011 .

[65]  D. Melgar,et al.  Real‐time inversion of GPS data for finite fault modeling and rapid hazard assessment , 2012 .

[66]  Richard M. Allen,et al.  Segmentation in episodic tremor and slip all along Cascadia , 2006 .

[67]  Jeffrey T. Freymueller,et al.  Tectonic block motion and glacial isostatic adjustment in southeast Alaska and adjacent Canada constrained by GPS measurements , 2010 .

[68]  Markus Rothacher,et al.  The International GPS Service (IGS): An interdisciplinary service in support of Earth sciences , 1999 .

[69]  J. Nocquet,et al.  Deformation of the North American plate interior from a decade of continuous GPS measurements , 2006 .

[70]  Shunichi Koshimura,et al.  Tsunami due to the 2004 September 5th off the Kii peninsula earthquake, Japan, recorded by a new GPS buoy , 2005 .

[71]  Alfred Leick,et al.  GPS Satellite Surveying: Leick/GPS Satellite Surveying , 2015 .

[72]  Jan P. Weiss,et al.  Single receiver phase ambiguity resolution with GPS data , 2010 .

[73]  T. Nilsson,et al.  GPT2: Empirical slant delay model for radio space geodetic techniques , 2013, Geophysical research letters.

[74]  Takeshi Sagiya,et al.  A decade of GEONET: 1994–2003 —The continuous GPS observation in Japan and its impact on earthquake studies— , 2004 .

[75]  A. C. Aguiar,et al.  Moment release rate of Cascadia tremor constrained by GPS , 2009 .

[76]  Geoffrey Blewitt,et al.  Terrestrial reference frame NA12 for crustal deformation studies in North America , 2013 .

[77]  John Langbein,et al.  Noise in GPS displacement measurements from Southern California and Southern Nevada , 2008 .

[78]  Robert W. King,et al.  Estimating regional deformation from a combination of space and terrestrial geodetic data , 1998 .

[79]  Hans-Peter Plag,et al.  Rapid determination of earthquake magnitude using GPS for tsunami warning systems , 2006 .

[80]  Chris Zweck,et al.  Active Deformation Processes in Alaska, Based on 15 Years of GPS Measurements , 2013 .

[81]  E. Ivins,et al.  Rapid viscoelastic uplift in southeast Alaska caused by post-Little Ice Age glacial retreat , 2005 .

[82]  Michael R. Brudzinski,et al.  Determination of slow slip episodes and strain accumulation along the Cascadia margin , 2006 .

[83]  John Langbein,et al.  Correlated errors in geodetic time series: Implications for time‐dependent deformation , 1997 .

[84]  Y. Bock,et al.  Anatomy of apparent seasonal variations from GPS‐derived site position time series , 2001 .

[85]  Duncan Carr Agnew,et al.  Ongoing drought-induced uplift in the western United States , 2014, Science.

[86]  T. Dixon,et al.  Noise in GPS coordinate time series , 1999 .

[87]  M. Hernández‐Pajares,et al.  Second-order ionospheric term in GPS : Implementation and impact on geodetic estimates , 2007 .

[88]  Thomas A. Herring,et al.  A method for detecting transient signals in GPS position time-series: smoothing and principal component analysis , 2013 .

[89]  Analysis of atmospheric delays and asymmetric positioning errors in the global positioning system , 2014 .

[90]  Robert B. Smith,et al.  Effects of lithospheric viscoelastic relaxation on the contemporary deformation following the 1959 Mw 7.3 Hebgen Lake, Montana, earthquake and other areas of the intermountain seismic belt , 2013 .

[91]  Felipe G. Nievinski,et al.  Inverse Modeling of GPS Multipath for Snow Depth Estimation—Part II: Application and Validation , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[92]  H. Dragert,et al.  Episodic Tremor and Slip on the Cascadia Subduction Zone: The Chatter of Silent Slip , 2003, Science.

[93]  Charles M. Meertens,et al.  TEQC: The Multi-Purpose Toolkit for GPS/GLONASS Data , 1999, GPS Solutions.

[94]  J. Gomberg Slow-slip phenomena in Cascadia from 2007 and beyond: A review , 2010 .

[95]  P. Teunissen,et al.  Assessment of noise in GPS coordinate time series : Methodology and results , 2007 .

[96]  Sarah E. Minson,et al.  The 2011 Magnitude 9.0 Tohoku-Oki Earthquake: Mosaicking the Megathrust from Seconds to Centuries , 2011, Science.

[97]  H. Schuh,et al.  Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium‐Range Weather Forecasts operational analysis data , 2006 .

[98]  Chen Ji,et al.  Focal mechanism and slip history of the 2011 Mw 9.1 off the Pacific coast of Tohoku Earthquake, constrained with teleseismic body and surface waves , 2011 .

[99]  Kelin Wang,et al.  A Silent Slip Event on the Deeper Cascadia Subduction Interface , 2001, Science.

[100]  Peter Steigenberger,et al.  Validation of precipitable water vapor within the NCEP/DOE reanalysis using global GPS observations from one decade. , 2010 .

[101]  Seth I. Gutman,et al.  Developing an Operational, Surface-Based, GPS, Water Vapor Observing System for NOAA: Network Design and Results , 2000 .

[102]  Jamie Farrell,et al.  An extraordinary episode of Yellowstone caldera uplift, 2004–2010, from GPS and InSAR observations , 2010 .

[103]  J. Zumberge,et al.  Precise point positioning for the efficient and robust analysis of GPS data from large networks , 1997 .

[104]  É. Calais,et al.  The Continuously Operating Caribbean Observational Network (COCONet): Improved observational capacity in the Caribbean [poster] , 2012 .

[105]  J. Ray,et al.  The IGS contribution to ITRF2014 , 2016, Journal of Geodesy.

[106]  Simon D. P. Williams,et al.  Non‐tidal ocean loading effects on geodetic GPS heights , 2011 .

[107]  Chalermchon Satirapod,et al.  Insight into the 2004 Sumatra–Andaman earthquake from GPS measurements in southeast Asia , 2005, Nature.

[108]  Christian Rocken,et al.  Near real‐time GPS sensing of atmospheric water vapor , 1997 .

[109]  Felix W. Landerer,et al.  GPS as an independent measurement to estimate terrestrial water storage variations in Washington and Oregon , 2015 .

[110]  Yngvar Larsen,et al.  Spatial variations in fault friction related to lithology from rupture and afterslip of the 2014 South Napa, California, earthquake , 2016 .

[111]  Angelyn W. Moore,et al.  The Antarctica component of postglacial rebound model ICE-6G_C (VM5a) based on GPS positioning, exposure age dating of ice thicknesses, and relative sea level histories , 2014 .

[112]  D. Agnew,et al.  Finding the repeat times of the GPS constellation , 2006 .

[113]  C. Falck,et al.  Near real-time GPS applications for tsunami early warning systems , 2010 .