the re-analysis on the raw data processing of kbr and lri
TRANSCRIPT
* Note：We derived gravity field maps up to SH degree 60 using software developed by IGG in Wuhan.
The re-analysis on the raw data processing of KBR and LRI on GRACE-FO
• The data pre-processing from raw or so-called level1a into the level1b format, which is suited for gravity field recovery, is a key step. Although level1b files are made publicly available by the GRACE-FO Science Data System (SDS), it has been shown that alternative level1b datasets may yield improved gravity field results.
• Investigations of the pre-processing may allow us to improve the gravity recovery strategy and are essential to support developments of gravimetric satellite missions in China.
Yihao Yan1,2, Changqing Wang2, Vitali Müller3, Min Zhong2,4, Lei Liang2, Zitong Zhu2 , Qinglu Mu2, Hanhan Niu2
1. Huazhong University of Science and Technology, China; 2. Innovation Academy for precision Measurement Science and Technology, CAS,China; 3. Albert-Einstein-Institut (Hannover), Germany; 4. School of Geospatial Engineering and Science, Sun Yat-Sen University, China
[email protected]@apm.ac.cn
• Bias range measured by LRI shows lower noise above 25 mHz compare to the Bias range measured by KBR.• LRI and KBR post-fit residuals show signal (peak) at 10 mHz that is caused by the fact that we recover maps only up
to degree 60. The IGG-derived gravity maps show good agreement between RL04 KBR1B and LRI1B datasets. And IGG-derived maps show a different signal pattern distributions over certain ocean area compare to JPL map.
Introduction
IGG IGG_LRI1BIGG JPL_LRI1B
IGG IGG_KBR1BIGG JPL_KBR1BJPL_RL06
SH=60, applied 300km Gaussian smoothing
Discussion
RR: Range rateLTC: Light time
correctionDiff: Difference
Method and comparison
Impact on gravity field (2019-01) Date: 2019.01.01-2019.01.10; Window:Nuttall4a