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

Improved STOchastic modelling in GRACE/GRACE-FO REal data processing (ISTORE)
GRACE/GRACE-FO 真实数据处理 (ISTORE) 中改进的 STochastic 建模
批准号:
417221075
负责人:
Dr.-Ing. Rolf König
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Research Units
财政年份:
2019
资助国家:
德国
项目状态:
已结题
起止时间:
2018-12-31 至 2022-12-31

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中文摘要
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英文摘要
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.
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GGOS-SIM-2: Simulation of the Global Geodetic Observing System
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Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于梯度增强Stochastic Co-Kriging的CFD非嵌入式不确定性量化方法研究