PI: Rolf König (GFZ)

Research Objectives

1. Take into account extensive stochastic error characteristics of KBR/LRI and accelerometer (ACC) and test for real data applications
2. Utilize full background model error VCMs of ocean tides and atmosphere/ocean, supported by Monte-Carlo simulations;
3. Analyze impact of utilization of full error VCMs in real data processing
4. Identify possible simplifications regarding stochastic modelling

Innovations

• Use of ocean tide and background model errors in real data processing
• Formal error propagation to gravity field model by Monte-Carlo simulations