Parameter Optimization of Regularization Variational Merging and Its Application in GNSS/MET Water V

• 作 者: Wang Gen Zhou Shuxue Ding Xia
• 机 构: TheInstituteofAtmosphericEnvironment,AnhuiMeteorologicalObservatory,AnhuiMeteorologicalBureau,AnhuiM
• 出 处: 气象与环境研究:英文版
• 发表日期: 2019年2期
• 关键词: VARIATIONAL MERGING L1 NORM PARAMETER optimization Precipitable water vapor REGU
• 基金项目: Open Foundation Project of Shenyang Institute of Atmospheric Environment,China Meteorological Administration(2016SYIAE14),Natural Science Foundation of Anhui Province,China(1708085QD89),National Natur

The paper discusses the core parameters of the 3 D and 4 D variational merging based on L1 norm regularization,namely optimization characteristic correlation length of background error covariance matrix and regularization parameter. Classical 3 D/4 D vari