Dealing with earthquakes and other non-linear motions T. A. Herring R. W. King M. A. Floyd Massachusetts Institute of Technology GPS Data Processing and.

Slides:



Advertisements
Similar presentations
Anomaly Detection in Problematic GPS Time Series Data and Modeling Dafna Avraham, Yehuda Bock Institute of Geophysics and Planetary Physics, Scripps Institution.
Advertisements

Earth, Atmospheric and Planetary Sciences Massachusetts Institute of Technology 77 Massachusetts Avenue | A | Cambridge MA V F.
The Community Geodetic Model (CGM): What is it and how does it relate to studies of lithospheric rheology? Jessica Murray, David Sandwell, and Rowena Lohman.
GPS measurements in the field M. Floyd K. Palamartchouk Massachusetts Institute of Technology Newcastle University GAMIT-GLOBK course University of Bristol,
Generating velocity solutions with globk
Survey-mode measurements and analysis M. Floyd K. Palamartchouk Massachusetts Institute of Technology Newcastle University GAMIT-GLOBK course University.
Effects of azimuthal multipath heterogeneity and hardware changes on GPS coordinate time series Sibylle Goebell, Matt King
“Real-time” Transient Detection Algorithms Dr. Kang Hyeun Ji, Thomas Herring MIT.
Deformation along the north African plate boundary observed by InSAR Ian Hamling 1,2 Abdelkrim Aoudia 2 1.GNS Science, Avalon, New Zealand 2.ICTP, Trieste,
M. Floyd K. Palamartchouk
Examples of track use M. Floyd K. Palamartchouk Massachusetts Institute of Technology Newcastle University GAMIT-GLOBK course University of Bristol, UK.
Joan Gomberg, Bill Schulz, Paul Bodin, Aaron Wech, Roland Burgmann, Jason Kean, Patricia MacQueen, Katie Foster, Bob Nadeau, Chuck Wicks, Wes Thelen (from.
2011 SCEC Annual Meeting: Workshop on Transient Anomalous Strain Detection Jessica Murray-Moraleda, U. S. Geological Survey Rowena Lohman, Cornell University.
Generating time series with glred
 ss=  * +(a-b) ln(V/V * ) a-b > 0 stable sliding a-b < 0 slip is potentially unstable Correspond to T~300 °C For Quartzo- Feldspathic rocks Stationary.
July 17, 2002Zambia GNSS Earth Science Global Navigation Satellite Systems (GNSS) for Earth Sciences Prof. Thomas Herring, Massachusetts Institute.
Principles of the Global Positioning System Lecture 11 Prof. Thomas Herring Room A;
New Scientific Applications with Existing CGPS Capabilities Earthquakes, Soil Moisture, and Environmental Imaging Andria Bilich Geosciences Research Division.
Issues in GPS Error Analysis What are the sources of the errors ? How much of the error can we remove by better modeling ? Do we have enough information.
Large-scale cGPS processing and prototyping solutions
Large continuous network processing and analysis T. A. Herring R. W. King M. A. Floyd Massachusetts Institute of Technology GPS Data Processing and Analysis.
New earthquake category Nature 447, (3 May 2007) | doi: /nature05780; Received 8 December 2006; Accepted 26 March A scaling law for slow.
Generating time series with glred
Error analysis T. A. Herring R. W. King M. A. Floyd Massachusetts Institute of Technology GPS Data Processing and Analysis with GAMIT/GLOBK/TRACK UNAVCO.
Applications for Precision GPS: Seismology, Volcanic Eruptions, Ice Sheet Dynamics, and Soil Moisture Kristine M. Larson Dept. of Aerospace Engineering.
Earth, Atmospheric and Planetary Sciences Massachusetts Institute of Technology 77 Massachusetts Avenue | Cambridge MA V F
GPS: “Where goeth thou” Thomas Herring With results from Jen Alltop: Geosystems Thesis Katy Quinn: Almost graduated Ph.D
SNARF: Theory and Practice, and Implications Thomas Herring Department of Earth Atmospheric and Planetary Sciences, MIT
Generating velocity solutions with GLOBK T. A. Herring R. W. King M. A. Floyd Massachusetts Institute of Technology GPS Data Processing and Analysis with.
Earth, Atmospheric and Planetary Sciences Massachusetts Institute of Technology 77 Massachusetts Avenue | Cambridge MA V F
Workshops for Establishing a Stable North American Reference Frame (SNARF) to Enable Geophysical and Geodetic Studies with EarthScope: Annual Report
Assessment of Reference Frame Stability trough offset detection in GPS coordinate time series Dragan Blagojević 1), Goran Todorović 2), Violeta Vasilić.
Principles of the Global Positioning System Lecture 24 Prof. Thomas Herring Room ;
Modern Navigation Thomas Herring MW 11:00-12:30 Room
Using GPS and InSAR to study tectonics, deformation, and earthquakes GPS displacements, velocities (and transients) InSAR displacements.
Yuehua Zeng & Wayne Thatcher U. S. Geological Survey
Modelling Postseismic Deformation: Examples from Manyi, Tibet and L’Aquila, Italy Marcus Bell COMET Student Meeting 2010 Supervisors: B. Parsons and P.
Issues in GPS Error Analysis What are the sources of the errors ? How much of the error can we remove by better modeling ? Do we have enough information.
Error Models Lecture 06 Thomas Herring
Models for Fault Behavior
Earth, Atmospheric and Planetary Sciences Massachusetts Institute of Technology 77 Massachusetts Avenue | Cambridge MA V F
Data weighting, and dealing with earthquakes and other non-linear motions M. Floyd K. Palamartchouk Massachusetts Institute of Technology Newcastle University.
NATO Workshop Veszprem 2004 Recent Monitoring of Crustal Movements in the Eastern Mediterranean The Usage of GPS Measurements G. Stangl, Federal Office.
Survey-mode measurements and analysis T. A. Herring R.W. King M. A. Floyd Massachusetts Institute of Technology GPS Data Processing and Analysis with GAMIT/GLOBK/TRACK.
Error Modeling Thomas Herring Room ;
Modeling Errors in GPS Vertical Estimates Signal propagation effects –Signal scattering ( antenna phase center/multipath ) –Atmospheric delay ( parameterization,
Evidence in ISCCP for regional patterns of cloud response to climate change Joel Norris Scripps Institution of Oceanography ISCCP at 30 Workshop City College.
Vertical velocities at tide gauges from a completely reprocessed global GPS network of stations: How well do they work? G. Wöppelmann 1, M-N. Bouin 2,
Introduction to the modelling of GPS results GPS provides Surface crustal velocities in a global reference frame, or with respect to a block, realized.
Aug 6, 2002APSG Irkutsk Contemporary Horizontal and Vertical Deformation of the Tien Shan Thomas Herring, Bradford H. Hager, Brendan Meade, Massachusetts.
2002/05/07ACES Workshop Spatio-temporal slip distribution around the Japanese Islands deduced from Geodetic Data Takeshi Sagiya Geographical Survey Institute.
Issues in GPS Error Analysis What are the sources of the errors ? How much of the error can we remove by better modeling ? Do we have enough information.
Issues in GPS Error Analysis What are the sources of the errors ? How much of the error can we remove by better modeling ? Do we have enough information.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Contemporary Horizontal and Vertical Deformation of the Tien Shan
Information for virtual participants
Generating time series with glred
Dealing with earthquakes and other non-linear motions
GPS measurements in the field
Dealing with earthquakes and other non-linear motions
Hector Mine & Landers Earthquakes
Generating time series with glred
Basics of processing workflow for GAMIT/GLOBK
GLOBK Velocity Solutions
Geodesy & Crustal Deformation
Geodesy & Crustal Deformation
Generating time series with glred
Generating velocity solutions with globk
Principles of the Global Positioning System Lecture 11
GPS: GLOBAL POSITIONING SYSTEM Satellites transmit radio signals Receivers on ground record signals and find their position from the time the signals arrive.
Presentation transcript:

Dealing with earthquakes and other non-linear motions T. A. Herring R. W. King M. A. Floyd Massachusetts Institute of Technology GPS Data Processing and Analysis with GAMIT/GLOBK/TRACK UNAVCO Headquarters, Boulder, Colorado 10–14 August 2015 Material from T. A. Herring, R. W. King, M. A. Floyd (MIT) and S. C. McClusky (now ANU)

Outline Previous lecture showed common time series models – Linear rate – Seasonal terms – Temporally correlated noise Irregular perturbations to such models include – Discontinuities due to equipment or environment changes – Discontinuities due to earthquakes – Non-linear motions due to earthquakes – Non-linear motions due to transient events (e.g. volcanic inflation episodes) Recommended implementation 2015/08/12Earthquakes and Non-linear2

Changes to equipment Antenna is main concern, although receiver may also affect continuity of calculated position – Even antennas of the same model type may not be manufactured within acceptable geodetic tolerance stinf_to_rename useful for creating automatic list 2015/08/12Earthquakes and Non-linear3

Changes in multipath environment Photograph by R. Haught Photograph by M. Floyd 2015/08/12Earthquakes and Non-linear4

Rename scheme Rename scheme uses first character of suffix – XXXX_GPS → XXXX_2PS → XXXX_3PS → … etc. Beyond “9PS”, convert to 10 th letter of alphabet (“JPS”) and beyond – … → XXXX_9PS → XXXX_JPS → XXXX_KPS → … etc. – But remember “XPS” is a special case for excluding sites from globk runs For manual renames (e.g. due to manual inspection rather than known events), use 8 available letters in alphabet before “J” – XXXX_APS, XXXX_BPS, etc. – But remember “GPS” is a special case (the default) 2015/08/12Earthquakes and Non-linear5

Earthquakes Earthquakes occur at known times May exhibit more than just a discontinuity Take care when earthquake occurs in the middle of processing day – Some data will fall before and some after ground displacement – Time series point on day of earthquake may appear between pre-earthquake and post-earthquake position 2015/08/12Earthquakes and Non-linear6

Radius of influence eq_def line in eq-file contains earthquake ID (two characters), location, etc. – ID is used to substitute last two characters of 8- character site name, e.g. XXXX_GPS → XXXX_GSN sh_makeeqdef will search archives (ANSS ComCat or ISC) to generate eq_def records 2015/08/12Earthquakes and Non-linear7

Non-linear motions Logarithmic decay Derives from afterslip on fault plane controlled by rate-and-state friction (e.g. Marone et al., 1991) Velocity perturbation reduces with 1 / t Exponential decay Derives from assumption of viscoelastic relaxation in stressed medium, e.g. after an earthquake 2015/08/12Earthquakes and Non-linear8

Non-linear motions Logarithmic decayExponential decay 2015/08/12Earthquakes and Non-linear9 Logarithmic looks good in East; Exponential looks good in North; Height doesn’t care

Many earthquakes… Complications arise in a tectonically active area with multiple events Sites may be renamed several times and therefore have various two-character suffixes Non-linear motions may be included in apr-file with “ EXTENDED ” records (see globk help) 2015/08/12Earthquakes and Non-linear10

Undocumented effects Time series inspection is very important to catch undocumented effects Insert manually- determined discontinuities using letter for first character of suffix ? Jump is due to washer removal from top of the antenna. ? M w /08/12Earthquakes and Non-linear11

Other phenomena Several examples of other phenomena some of which are likely to be motions of the monuments (often not tectonic), propagation medium effects, or failed equipment. With continuous data these types of effects can often be diagnosed from the data. For artifact effects, multipath and SNR measures are often useful for diagnostics. 2015/08/12Earthquakes and Non-linear12

Bombay Beach Creep? 2015/08/12Earthquakes and Non-linear13

Episodic events: Yellowstone Profile of velocity estimates across region. Large error bars (FOGMEX) show systematic sites 2015/08/12Earthquakes and Non-linear14 List of noisy sites

Selected Yellowstone time series 2015/08/12Earthquakes and Non-linear15

Episodic Tremor and Slip (ETS): Cascadia 2015/08/12Earthquakes and Non-linear16

Other examples The following examples are from the UNACVO GAGE Data technical news: Reports here on various anomalies that have been detected and investigated. Useful place to look for site issues. GAGE ACC quarterly reports also contain information on anomalies 2015/08/12Earthquakes and Non-linear17

Local collapse Site EOCG 2015/08/12Earthquakes and Non-linear

Landslide prone site Location of earlier landslide showing strong seasonal 2015/08/12Earthquakes and Non-linear19

Ground water P271 Site P271 is strongly affected by ground water withdrawal 2015/08/12Earthquakes and Non-linear20 There are also horizontal periodic signals as well

Vegetation Growth P /08/12Earthquakes and Non-linear21 North (not shown) is less affected.

Bad antennas 2015/08/12Earthquakes and Non-linear22

Snow on antenna 2015/08/12Earthquakes and Non-linear23

Skewed position residuals: Atmosphere delays? 2015/08/12Earthquakes and Non-linear24

Recommendations Know your goals – Only fit “nuisance” terms – It is usually best not to try to fit signals that you are interested in, e.g. seasonal terms if you are studying these. Depending on your goal (e.g. linear tectonic velocities), sometimes you just have to abandon data as it is likely to do more harm than good (rename to xxxx_XPS or xxxx_XCL). Adding large process noise in GLOBK is one approach but be careful not to make too large. GLOBK sig_neu command can be used for small duration “bad” events. 2015/08/12Earthquakes and Non-linear25