2024 SCEC CGM Workshop:

Towards Statewide and 3-D Deformation Fields for California

Date: September 7, 2024 (9:30 am – 5:30 pm)
Location: Hilton Palm Springs, California
Workshop Organizers: Mike Floyd (MIT) , Katia Tymofyeyeva (NASA JPL)
SCEC Award and Report: 24074

Summary

The SCEC Community Geodetic Model (CGM) is a long-term effort to integrate GNSS and InSAR data from the modern satellite-based geodetic era in a self-consistent, rigorous, and open manner. This integration aims to derive secular and time-dependent surface velocity and strain rate fields across California.

We hosted a one-day CGM Workshop in conjunction with the SCEC Annual Meeting on Saturday, September 7th, 2024, at the Hilton Palm Springs in California. The workshop aimed to identify key research issues, educate users, and address critical questions in the context of SCEC science goals. We invited diverse expertise to contribute to and benefit from extending the CGM’s temporal and geographic range statewide.

The workshop announcement targeted current or potential users and contributors, encouraging early-career students, postdocs, researchers, and faculty to help shape the next generation of the CGM. Due to space limitations, interested individuals were asked to apply in advance. We accommodated 28 in-person participants and one online participant.

The workshop featured initial presentations to introduce recent research by CGM Working Group members and the wider community, demonstrations of CGM activities, products and access to date, breakout groups for feedback and input, and open discussions to map out pressing research and future directions. 

In our original workshop proposal, we aimed to achieve two major outcomes: (1) expanding geographic interest and CGM contributors/users, and (2) providing guidance for geodesy in general and the CGM specifically during years 2 and 3 of the current Statewide California Earthquake Center. The workshop successfully attracted participants, especially those focused on northern California, thereby broadening geographic scope and expertise. We also encouraged early-career participants to attend and have their voices heard. We received detailed feedback and priorities for future CGM development. Immediate tasks include improving product accessibility, advertising, exploration, and providing searchable online documentation and metadata with working examples. We concluded with renewed enthusiasm for the collective effort and increased awareness among the geodetic and user communities. The SCEC CGM was prominently mentioned in presentations and posters throughout the remainder of the SCEC Annual Meeting.

September 7, 2024

Presentation materials may be viewed by clicking the links below. PLEASE NOTE: Files are the author’s property. They may contain unpublished or preliminary information and should only be used for reviewing the talk. Only the presentations for which SCEC has received permission to post publicly are included below.

TimeItemPresenter

09:00 - 09:30

Workshop Check-In

09:30 - 09:45

Introduction and Opening Remarks by Hosts

Mike Floyd and Katia Tymofyeyeva

09:35

Background and motivation for the Community Geodetic Model

09:45 - 11:00

Session 1a: Current Research and Considerations for Geodetic Products and Models
Moderators: Dani Lindsey & Mike Floyd

09:45

The future of InSAR: NISAR and beyond

Katia Tymofyeyeva

10:05

Reference frames: Definitions, realizations, and impacts (PDF)

Tom Herring

10:25

GNSS and InSAR integration for 3-D crustal deformation in California (PDF)

Zheng-Kang Shen & Zhen Liu

10:45

Questions and Discussion

All

11:00 - 11:15

Break

11:15 - 12:10

Session 1b: Use of a Community Geodetic Model for Tectonics and Geophysics
Moderators: Taimi Mulder & Katia Tymofyeyeva

11:15

Integrating InSAR and GNSS for the Intra-Frame Deformation Model (PDF)

Lane Souza

11:35

Addressing long-term changes in crustal deformation from tectonic and non-tectonic processes (PDF)

Roland Burgmann

11:55

Questions and Discussion

All

12:10 - 13:00

Session 2: CGM Version 2 Products and Access, and Community Velocity Field Exercise

12:10

Demonstration of SCEC CGM Explorer and Zenodo archive

Various

12:25

Review of data formats and basic interrogation tools

Kathryn Materna

12:40

Introduction of a Community Velocity Field Exercise

Mike Floyd and Katia Tymofyeyeva

12:50

Open discussion on participation in and contribution to Community Velocity Field Exercise

All

13:00 - 14:00

Lunch

14:00 - 15:30

Session 3: Breakout Discussions

14:00

Breakout 1: Cross-disciplinary discussion groups
- Group 1a: Mike Floyd (moderator); Bill Holt (reporter)
- Group 1b: Katia Tymofyeyeva (moderator); Roland Burgmann (reporter)
- Group 1c: Zhen Liu (moderator); Tom Herring (reporter)
- Group 1d: Kathryn Materna (moderator); Zheng-Kang Shen (reporter)

All

14:30

Breakout 2: Intra-disciplinary discussion groups (guided by topics and other brought up by cross-disciplinary discussion groups)

All

15:00

Reports from breakout discussions

15:30 - 15:45

Break

15:45 - 17:30

Session 4: The Future of the CGM and How to Get There

15:45

Discussion: How do we develop from velocities and time series to combined geodetic products and model deformation fields?

All

16:30

Discussion: Workshop recommendations and future plans for StatewideCEC

All

17:15

Closing remarks by hosts

Mike Floyd and Katia Tymofyeyeva

17:30

Workshop Adjourns

SCEC Community Earth Models (CEM) and Datasets

CEMs are collaborative platforms featuring community-contributed data, models, and tools for earthquake system analysis. They enable 3D visualization, data exploration, sharing, and integrated modeling. The current SCEC Community Geodetic Model (CGM) integrates high-precision GNSS and InSAR data for continuous, detailed ground movement monitoring in Southern California.

ABOUT CEM | CGM ARCHIVE

Discussion Questions

The 2024 SCEC CGM Workshop will address critical questions, framed in the context of SCEC science goals, including:

  • What is the best approach to producing continuous InSAR time series across temporal discontinuities such as an earthquake, given commonly used smoothing approaches to producing InSAR time series?
  • Do GNSS-derived velocities estimated over the same period as those for the InSAR match better than using the complete (usually longer) temporal coverage of the GNSS?
  • If so, does this indicate a fundamental difference in the techniques, e.g. the influence of long-period noise and the implications for the estimation of velocity uncertainties, or truly reflect changes in crustal velocities over periods of time?
  • How do models and corrections commonly applied to GNSS processing, such as tidal and surface loading phenomena and atmospheric (tropospheric and ionospheric) delays, affect InSAR time series and velocities, and should the same corrections ultimately be applied to InSAR processing?
  • What is the inherent reference frame of InSAR products and how is this best transformed rigorously to match the well-defined reference frame of GNSS, particularly without the need to use dense GNSS data to estimate such alignment?
  • What is the best balance and weight between two datasets where one is temporally dense but spatially sparse and the other is temporally sparse but spatially dense?

Participants

Name and Org
MattBrandinUCSD
RolandBurgmannUC Berkeley
GuoChengUNR
NairongDuUW Madison
MikeFloydMIT
GarethFunningUCR
IgnacioGarciaCICESE
AlejandroGonzalez-OrtegaCICESE
ThomasHerringMIT
CelesteHofstetterUCR
WilliamHoltStony Brook U
JunleJiangU Oklahoma
StacyLarochelleColumbia U
Li-ChiehLinUCR
DanielleLindsayUC Berkeley
ZhenLiuCaltech
KathrynMaternaCU Boulder
RobMoakTensora
LaurentMontesiU Maryland
TaimiMulderNRCan
JillianPearseCSULB
MeganPerryU Maryland
Zheng-KangShenUCLA
Lavoisiane Ferreira deSouzaUCSD
MradulaVashishthaStony Brook U
YuehuaZengUSGS

 

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