Improved Stochastic Modeling in GRACE/GRACE-FO Real Data Processing 2 (ISTORE-2)

• Applicants: Professor Dr.-Ing. Frank Flechtner; Professor Dr. Roland Pail
• Subject Area: Geodesy, Photogrammetry, Remote Sensing, Geoinformatics, Cartography
• Term: from 2019 to 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 388296632

In continuation of the first phase, IP5 will work towards the completion of the optimized stochastic modeling for GRACE and GRACE-FO gravity field adjustment. This includes three main tasks: (1) the extension of the stochastic instrument error models of the first phase including analyses of accelerometer data for longer time periods and of other key GRACE and GRACE-FO instrument data like GNSS, ranges and range accelerations; (2) the optimization of the combination of the different observations, where also the accelerometer data should be treated as observations in order to take into account the respective stochastic models in a more direct way; (3) the inclusion of tidal and temporally changing non-tidal background model error variance-covariance matrices in the adjustment process.

• DFG Programme: Research Units
• Subproject of: FOR 2736: New Refined Observations of Climate Change from Spaceborne Gravity Missions (NEROGRAV)