Integrating the spectral characteristics of priori temporal gravity field signals and varying observation conditions during GRACE observation period, we put forward a signal-to-noise ratio filter (SF filter). Experimental demonstrations have confirmed that the SF filter effectively balance the gravity field signals and observation noise, thereby providing an estimate of mass changes with improved SNR and reduced signal leakage. The paper has been submitted to IEEE Transactions on Geoscience and Remote Sensing (Under Review).

Corresponing author：Professor Qiujie Chen (qiujiechen@tongji.edu.cn)

The SF filter and Matlab-based filtering program can be directly downloaded from the website of https://workdrive.zoho.com.cn/file/jkblv49a01dae16ff4f228dd00c1e49a4c21a

When using the SF filter, please cite the following publications which provide details about the construction methods of filter.

Jianhao Xuan, Qiujie Chen, Xingfu Zhang, Yunzhong Shen. A Signal-to-Noise Ratio Filter by Incorporating Spectral Characteristics of Temporal Gravity Field Signals and Varying GRACE Observation Conditions. IEEE Transactions on Geoscience and Remote Sensing (Under Review).