EGU23-17311
https://doi.org/10.5194/egusphere-egu23-17311
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Assessing long-term ZTD trends for climate

Marcelo C. Santos1, Jordan Rees1, Kyriakos Balidakis,2, Anna Klos3, and Rosa Pacione4
Marcelo C. Santos et al.
  • 1University of New Brunswick, Fredericton, Canada
  • 2GFZ German Research Centre for Geosciences, Potsdam, Germany
  • 3Military University of Technology, Warsaw, Poland
  • 4e-Geos/ASI-Centro di Geodesia Spaziale, Matera, Italy

In this presentation we showcase results of an ongoing effort to assess long-term ZTD trends for eventual use in climate models, either for assimilation or validation. We have been analyzing the ZTD time series estimated from six REPRO3 IGS Analysis Centers (ACs), namely, COD, ESA, GFZ, GRG, JPL, TUG, to compare their long-term trends. Long-term here means 20 years or longer. About thirty stations have been selected globally for this purpose. The estimated ZTD time series have gone through a process of homogenization using ERA-5 derived ZTDs as reference. The homogenized data is then averaged to daily values to minimize potential influences coming from different estimation strategies used by individual ACs. As mentioned, our interest is with the long-term signal. Similar averaging is applied to the ERA-5 ZTDs. Two combinations, using weighted mean and (a robust) least median of squares, are being generated from the six homogenized ACs. The combinations serve as quality control to each ACs. Analysis of the trends generated from each one of the seven ZTD times series is performed looking at their similarities in both time and frequency domains. Results obviously vary depending on the geographical location. For example, for station ALBH, in Canada, inter-AC scatter is 0.47 mm/decade for the trends, 0.11 mm for the annual amplitudes, and 0.29 degrees for the annual phase. 

How to cite: C. Santos, M., Rees, J., Balidakis,, K., Klos, A., and Pacione, R.: Assessing long-term ZTD trends for climate, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-17311, https://doi.org/10.5194/egusphere-egu23-17311, 2023.