姚朝龙^1,,
李琼^2,,,
罗志才²,
王长委¹,
张瑞¹,
周波阳³
1. 华南农业大学资源环境学院, 广州 510642
2. 华中科技大学物理学院地球物理研究所, 武汉 430074
3. 广东工业大学测绘工程系, 广州 510006

基金项目: 国家自然科学基金（41504014，41604017）；武汉大学地球空间环境与大地测量教育部重点实验室开放基金资助项目（17-01-08）；华南农业大学资源环境学院院长基金（ZHXY2018A01）资助


详细信息

作者简介: 姚朝龙, 男, 1986年生, 工学博士, 主要从事时变重力场及其应用研究.E-mail:clyao@scau.edu.cn

通讯作者: 李琼, 女, 1986年生, 理学博士, 主要从事卫星重力学及其应用研究.E-mail:qiongli@hust.edu.cn

中图分类号: P223

收稿日期:2017-07-27
修回日期:2017-10-26
上线日期:2019-03-05

Uncertainties in GRACE-derived terrestrial water storage changes over mainland China based on a generalized three-cornered hat method

YAO ChaoLong^1,,
LI Qiong^2,,,
LUO ZhiCai²,
WANG ChangWei¹,
ZHANG Rui¹,
ZHOU BoYang³
1. College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
2. MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, Institute of Geophysics, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
3. Department of Surveying and Mapping, Guangdong University of Technology, Guangzhou 510006, China


More Information

Corresponding author: LI Qiong,E-mail:qiongli@hust.edu.cn

MSC: P223

--> Received Date: 27 July 2017
Revised Date: 26 October 2017
Available Online: 05 March 2019


摘要
摘要:在无真实观测值的情况下，本文利用广义三角帽方法评估了五种GRACE时变重力场模型（CSR、GFZ、GRGS、HUST发布的球谐系数解和JPL发布的Mascon解）反演中国大陆地区2003-2013年水储量变化的不确定性.研究结果表明，CSR、GFZ、JPL、HUST和GRGS反演月水储量变化不确定性的区域平均RMS分别为14.4 mm、26.3 mm、25.3 mm、26.6 mm和56.1 mm，其中GRGS的结果未恢复泄漏信号；在季和年尺度上，模型的不确定性均小于月尺度；扣除周期和趋势信号后，各模型反演结果更为一致.除长江流域外，CSR在13个流域的不确定性均小于其他模型，GRGS反演各流域水储量变化的不确定性通常较大，且可能高估了温带大陆性气候地区水储量的波动；CSR和JPL的不确定性受流域周边水文特征、气候类型、流域面积和形状的影响相对较小，不确定性变化范围分别为2.3~17.1 mm和5.6~22.5 mm，GFZ和HUST受影响较大，不确定性变化范围分别为5.5~35.1 mm和4.0~40.6 mm.本文的研究结果为GRACE产品不确定性评估提供了新的途径，为GRACE时变重力场模型的选取提供参考.
关键词: GRACE/
陆地水储量变化/
广义三角帽/
不确定性/
中国大陆地区

Abstract:It remains a challenging problem to assess the uncertainties in GRACE-derived terrestrial water storage (TWS) changes due to insufficient observations in many areas globally. Particularly, China has a complicated terrain covering a range of climate settings, aquifers and levels of human interventions. Therefore, it is very important to evaluate the performance of GRACE observations from different processing centers for GRACE applications in China. Due to the absence of ground truth observations, this study analyzed the relative uncertainties in GRACE-derived TWS changes from five solutions over mainland China based on a generalized three-cornered hat (TCH) method, including Stokes coefficients from the Center of Space Research (CSR), the German Research Center for Geoscience (GFZ), the Groupe de Recherches de geodesie spatiale (GRGS) and the Huazhong University of Science and Technology (HUST) as well as the Jet Propulsion Laboratory (JPL) GRACE mascon solution. The results showed that the averaged uncertainties (in terms of root-mean-square, RMS) of derived monthly TWS changes over mainland China for CSR, GFZ, JPL, HUST and GRGS were 14.4 mm, 26.3 mm, 25.3 mm, 26.6 mm and 56.1 mm, respectively; compared to the monthly scale, the uncertainties of each solution were lower at seasonal and annual scales for both the original and nonseasonal terms; the inverted TWS changes were more consistent at the nonseasonal term (after removing the trend and seasonal cycles from the original signals). At the basin scale, except for the Yangtze River basin, CSR showed the lowest uncertainties for the 13 river basins over mainland China, while GRGS showed relative large uncertainties. In addition, GRGS-based TWS showed larger variability than other GRACE solutions and two hydrological models (Global Land Data Assimilation System, GLDAS and WaterGAP Global Hydrology Model, WGHM) in the temperate continental climate region; CSR and JPL were less affected by the surrounding hydrological conditions, climate settings, size and geometry of the basins, with the uncertainties varying from 2.3~17.1 mm and 5.6~22.5 mm, respectively. Whereas GFZ and HUST were influenced more by these factors, with the ranges of the uncertainties were 5.5~35.1 mm and 4.0~40.6 mm, respectively. It should be noted that GRGS-derived TWS changes were not restored because of the difficulty in quantifying signal loss resulted from regularization for end-users. High uncertainty in GRGS suggests serious signal loss in regularized GRACE solution in the study region. Therefore, more independent data or models are necessary for validation before using the GRGS solution. This study provides a new way to assess the uncertainty in GRACE products and will be helpful for choosing proper models for specific studies.
Key words:GRACE/
Terrestrial water storage changes/
Generalized three-cornered hat/
Uncertainty/
Mainland China



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