杨帅^1,2,,
郑伟^1,2,3,,,
尹文杰²,
刘杰¹
1. 河南理工大学测绘与国土信息工程学院, 焦作河南 454003
2. 中国空间技术研究院钱学森空间技术实验室, 北京 100094
3. 辽宁工程技术大学测绘与地理科学学院, 阜新辽宁 123000

基金项目: 国家自然科学基金面上项目（41774014，41574014），"兴辽英才计划"攀登****项目资助（XLYC2002082），中央军委科技委前沿科技创新项目（085015），国防科技创新特区创新工作站项目，中国空间技术研究院****人才基金联合资助


详细信息

作者简介: 杨帅, 男, 1996年生, 硕士研究生, 主要从事卫星重力反演及应用等方面研究.E-mail: yangshuai@home.hpu.edu.cn

通讯作者: 郑伟, 男, 1977年生, 首席研究员, 博士生导师, 主要从事卫星重力反演和天空海一体化导航与探测等方面研究.E-mail: zhengwei1@qxslab.cn

中图分类号: P223

收稿日期:2020-01-06
修回日期:2021-06-25
上线日期:2021-09-10

Improve the accuracy of GRACE terrestrial water storage changes using GRACE data combined with a new scale factor correction method

YANG Shuai^1,2,,
ZHENG Wei^1,2,3,,,
YIN WenJie²,
LIU Jie¹
1. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo Henan 454003, China
2. Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China
3. School of Geomatics, Liaoning Technical University, Fuxin Liaoning 123000, China


More Information

Corresponding author: ZHENG Wei,E-mail:zhengwei1@qxslab.cn

MSC: P223

--> Received Date: 06 January 2020
Revised Date: 25 June 2021
Available Online: 10 September 2021


摘要
摘要:本文围绕GRACE数据在信号处理过程中存在泄露误差开展了探索性研究.第一，在传统尺度因子法的基础上，根据模型与CSR-SHc数据的均方根误差和相关性赋予权重，构建了新型尺度因子校正法.第二，以长江流域为例，评估该方法的校正效果，研究结果表明：新型尺度因子校正法校正结果综合GLDAS（Global Land Data Assimilation System）水文模型计算的尺度因子校正结果空间分布趋势的优点，避免了CSR（Center for Space Research）官方提供的尺度因子、WGHM（Water GAP Global Hydrology Model）尺度因子和迭代恢复法校正结果空间分布趋势不均匀的现象.在长期趋势上，该方法校正结果优于GLDAS水文模型计算的尺度因子校正结果；在周年振幅上，新型尺度因子校正法校正结果明显优于迭代恢复法和CSR Mascon数据的结果.第三，基于该方法校正结果显示，长江流域、上游和中下游在2002年4月—2017年1月水储量呈现上升趋势，分别为0.29 cm·a^-1、0.14 cm·a^-1和0.49 cm·a^-1，相比于校正前CSR-SHc数据在长江流域、上游和中下游上升趋势0.21 cm·a^-1、0.07 cm·a^-1和0.40 cm·a^-1，分别提高了38%、100%和23%.长江流域水储量上升趋势主要集中在中下游.
关键词: 新型尺度因子校正法/
GRACE重力卫星/
陆地水储量变化准确性/
泄露误差/
长江流域

Abstract:The purpose of this study is to reduce leakage errors caused by GRACE signal processing. Firstly, a New Scaling Factor Correction Method (NSFCM) is developed by assigning weight to the mean square error and correlation calculated by the model and CSR-SHc. Secondly, the Yangtze River Basin is selected as the example to evaluate the performance of the NSFCM. Results indicate that the correction results using NSFCM, on the one hand, take the advantages of the spatial distribution trend of the scaling factor correction results calculated by the GLDAS (Global Land Data Assimilation System) model and WGHM (Water GAP Global Hydrology Model). On the other hand, it can avoid the uneven spatial distribution trend of the scale factor and iterative restoration method officially provided by CSR (Center for Space Research). In terms of the long-term trend, the NSFCM outperforms the scaling factor correction results calculated by the GLDAS and WGHM. With regard to the annual amplitude, the NSFCM results are significantly better than that of the iterative recovery method and CSR Mascon data. Thirdly, the NSFCM results show that the water storage of the Yangtze River Basin, upstream, and middle and lower reaches reveals an increasing trend at 0.29 cm·a^-1, 0.14 cm·a^-1 and 0.49 cm·a^-1 from April 2002 to January 2017, respectively. Compared to the rising trends before correction, the uptrend increases by 38%, 100%, and 23%, respectively. Moreover, the rising trend of water storage is mainly concentrated in the middle and lower reaches of the Yangtze River Basin.
Key words:New scale factor correction method/
GRACE gravity satellite/
The accuracy of terrestrial water storage changes/
Leakage error/
Yangtze River Basin



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