EGU23-9468
https://doi.org/10.5194/egusphere-egu23-9468
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Updating Terrestrial Reference Frame using Sequential Computation Method

Toshio Mike Chin, Claudio Abbondanza, Richard Gross, Michael Heflin, and Jay Parker
Toshio Mike Chin et al.
  • California Institute of Technology, Jet Propulsion Laboratory, Tracking Systems and Applications, Pasadena, California, United States of America (mike.chin@jpl.nasa.gov)

JTRF2020 is a recent contribution by NASA Jet Propulsion Laboratory to IERS as part of their effort to determine ITRF2020.  JTRF2020 is estimated daily using a sequential computational method (called "SREF") based on the SRIF and DMCS algorithms which are respective variants of the Kalman filter and smoother.  The filtering algorithm allows us to make timely update of the reference frame, as newer geodetic analysis data become available beyond those ingested into JTRF2020.  Benefits of such frame updating are examined using hindcasting experiments, which are presented here.  Also, some of the standard formulas used in terrestrial reference frame realizations are not immediately suitable for sequential formulation required by the algorithms like the Kalman filter.  We thus describe our sequential re-formulation of these formulas, including the intrinsic constraints, week-long EOP arcs, and lack of initial conditions.

How to cite: Chin, T. M., Abbondanza, C., Gross, R., Heflin, M., and Parker, J.: Updating Terrestrial Reference Frame using Sequential Computation Method, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-9468, https://doi.org/10.5194/egusphere-egu23-9468, 2023.