Assimilation of SBAS-InSAR Based Vertical Deformation Into Land Surface Model to Improve the Estimation of Terrestrial Water Storage

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Kun Chen¹  Tao Sun¹  Guoxiang Liu¹  Jiaxin Cai¹  Xiao Chen¹  Saied Pirasteh¹  Wei Xiang¹  Kun Qian¹ 

[1] Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China;

关键词: Catchment land surface model (CLSM);    data assimilation (DA);    ground deformation;    small baseline subset (SBAS) InSAR;    terrestrial water storage (TWS);   

DOI  :  10.1109/JSTARS.2022.3162228

来源: DOAJ

【 摘 要 】

The gravity recovery and climate experiment (GRACE) provides an unprecedented opportunity to detect the spatial and temporal variation of the terrestrial water storage (TWS) for regional to continental scales. However, the GRACE system's coarse temporal resolution (∼monthly) and data discontinuity missing perplexed the TWS research during the operation. In this article, the data assimilation (DA) method was employed to integrate the vertical deformation obtained from the small baseline subset (SBAS) InSAR processing into the NASA catchment land surface model (CLSM), which improved the estimation of the TWS. First, we used a one-dimensional ensemble Kalman filter for DA research to estimate the TWS in Dali Prefecture, southwestern China. Finally, we compared the estimated TWS with the GRACE-based TWS from December 2, 2018 to January 21, 2021. The unbiased root-mean-square of the open loop (OL; without DA) method and the SBAS-InSAR DA method are 61 mm and 30 mm in Dali Prefecture, respectively. Results revealed that the numerical difference between the estimated TWS and the GRACE TWS retrievals was significantly decreased by the SBAS-InSAR DA method than the OL method. In addition, the temporal resolution of the SBAS-InSAR DA-based TWS was improved to 12 days compared with GRACE-based TWS. Furthermore, we recovered the discontinuous deletion and blank of GRACE-based TWS from 2015 to 2018 by the SBAS-InSAR DA method.

【 授权许可】

Unknown