IP5: Improved Stochastic Modeling in GRACE/GRACE-FO Real Data Processing (ISTORE)

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