Improved STOchastic modelling in GRACE/GRACE-FO REal data processing (ISTORE)

RU的主要目标之一是评估grace和GRACE-FO时间重力场确定中改进的随机建模。该IP的目标是考虑到GRACE/GRACE- fo中心观测类型在星间测距和加速度计测量中的广泛随机误差特征，并利用大气、海洋和水文背景模型的广泛协方差信息。通过改进的先验随机模型估计过程，目标是改进所有输入数据（观测和背景模型）的权重，从而改进重力场参数及其形式误差的估计。这项任务将结合蒙特卡罗模拟和线性误差传播理论来解决。程序和结果将使用GRACE/GRACE- fo 3年的真实数据进行测试和验证。

One of the main goals of the RU is the assessment of an improved stochastic modelling inGRACE and GRACE-FO temporal gravity field determination. The objective for this IP is to take into account extensive stochastic error characteristics of the central GRACE/GRACE-FO observation types for inter-satellite ranging and accelerometer measurements, and to utilize wide-ranging co-variance information of atmospheric, oceanic and hydrologic background models. With an improved a-priori stochastic model of the estimation process, the ambition is to improve the weighting of all input data (observations and background models) and herewith the estimates of the gravity field parameters and their formal errors. The task will be tackled with a combination of Monte Carlo simulations and linear error propagation theory. Procedures and outcome will be tested and validated using 3 years of GRACE/GRACE-FO real data.