## 5 Conclusions
For the time being, the further RO processing of FORMOSAT-3/COSMIC data, as well as of the RO data from the more recent FengYun-3 operational satellite series [104] and the commercial CubeSat constellation of Spire [105], is prepared with using the LEO orbits from these data providers together with fixed adopted values of position and velocity uncertainty estimates based on their orbit quality assessments. As part of the future multi-satellites portfolio, we will also process the very recent FORMOSAT-7/COSMIC-2 RO data [106]. Another aspect is that the processing of orbit arcs is currently limited to 24 h arcs, restricting calculation of orbit overlap statistics or long-arc analysis, which in future might serve as an additional measure in the uncertainty estimation process. As a next step, the upcoming RO reprocessing at WEGC will provide a thorough long-term performance check of the current implementation of this new POD subsystem and may motivate additional modifications and improvements. Based on the encouraging results of this study we expect to obtain high-quality ECV data records for climate monitoring and research. Conceptualization and methodology, G.K., C.P., J.I. and M.S. ; software, J.I., M.S., C.P. and A.J. ; validation, J.I., M.S., A.J., Y.A., C.M. and G.K.; formal analysis, investigation, visualization and writing-original draft preparation, J.I. ; writing-review and editing, G.K., M.S., A.J., C.P., Y.A. and C.M. ; data curation and project administration, J.I., M.S. and G.K.; supervision, resources and funding acquisition, G.K. All authors have read and agreed to the published version of the manuscript. The research at WEGC was supported by the Aeronautics and Space Agency of the Austrian Research Promotion Agency (FFG-ALR) under the Austrian Space Applications Programme (ASAP) projects OPSCLIMPROP (proj. no. 840070), OPSCLIMPRACE (proj. no. 844395), and EOPCLIMPRACK (proj. no. 859773) funded by the Ministry for Transport, Innovation, and Technology (BMVIT). Funding was also provided by the Austrian Science Fund (FWF) under research grant W1256-G15 (Doctoral Programme Climate Change - Uncertainties, Thresholds and Coping Strategies). **Acknowledgments:** The authors are grateful to the Center for Orbit Determination in Europe (CODE Bern), the International GNSS Service (IGS), and the Jet Propulsion Laboratory (JPL Pasadena) for their reprocessing effort and the publicly provided access to GNSS orbit, clock, and earth orientation parameter data. We are equally thankful to the International Laser Ranging Service (ILRS) for their effort to collect and publicly provide satellite laser ranging observations. We also appreciate and acknowledge the availability of GPS observations of low Earth orbit satellites shared by UCAR/CDAAC Boulder, JPL Pasadena, and GFZ Potsdam. We thank [PERSON] for the discussion and support in processing with the Bernese GNSS software and [PERSON] and [PERSON] for discussion and support with the NAPES software. We furthermore thank colleagues from WEGC's RO & Climate team, in particular [PERSON], for support on the rOPS framework setup and computations. We also thank [PERSON] from WEGC for his help and discussions. **Conflicts of Interest:** The authors declare no conflict of interest.