Joint inversion of GNSS and GRACE/GRACE-FO data for terrestrial water storage changes in Southwest China

被引:0
|
作者
Yang X. [1 ]
Yuan L. [1 ]
Jiang Z. [2 ]
Tang M. [1 ]
机构
[1] Faculty of Geosciences and Engineering, South-west Jiaotong University, Chengdu
[2] School of Geospatial Engineering and Science-, Sun Yat-sen University, Zhuhai
关键词
Akaike's Bayesian information criterion; GNSS; GRACE/GRACE-FO; joint inversion; terrestrial water storage changes;
D O I
10.11947/j.AGCS.2024.20230221
中图分类号
学科分类号
摘要
The global navigation satellite system (GNSS) and gravity recovery and climate experiment (GRACE), along with its follow-on mission (GRACE-FO) have revolutionized studies of terrestrial water storage changes (TWSC). However, TWSC estimates obtained from these two techniques exhibit different characteristics and accuracy in terms of temporal and spatial scales. Therefore, it is crucial to integrate these observations to obtain high-precision TWSC at a consistent scale. In this study, we designed a joint inversion model that combines GNSS and GRACE/GRACE-FO data for regional TWSC based on the GNSS inversion model (GNSS-IM). The summation operator was used for the Jet Propulsion Laboratory (JPL) GRACE/ GRACE-FO Mascon data to construct constraints in the joint inversion model. The optimal model parameters were selected using the Akaike's Bayesian information criterion. To confirm the feasibility of the joint inversion model for estimating TWSC in Southwestern China, we conducted 1000 simulation experiments. The simulation results indicate that the joint inversion yields an average root mean square error of 10 mm, which is 47% lower than that of GNSS-IM. Subsequently, we applied the joint inversion to estimate the TWSC in Southwest China from January 2011 to June 2022, utilizing GNSS and JPL Mascon data. The comparison of the joint inversion results with the results of GNSS-IM, GRACE/GRACE-FO, and the high-resolution global land data assimilation system (GLDAS) shows that the TWSC annual amplitudes of the joint inversion exhibit the most consistent spatial distribution characteristics with those of GLDAS. It indicates that the joint inversion achieves better spatial resolution for TWSC compared to GNSS-IM and GRACE/GRACE-FO. Furthermore, we estimated the regional hydrological budget through the water balance equation and evaluated the uncertainty of the monthly rate of equivalent water height (d(EWH)/dz) of TWSC using the generalized three-cornered hat method. The results demonstrate that the uncertainty of d(EWH)/d2 estimated by the joint inversion is 8 mm/month, which is 33%, 68%, and 62% lower than the results of GRACE/GRACE-FO, GNSS-IM, and the water balance equation, respectively. Our study indicates that the joint inversion approach improves the accuracy of TWSC compared to GNSS and GRACE/GRACE-FO, and provides more reliable data for water resources management and hydrology research. © 2024 SinoMaps Press. All rights reserved.
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页码:813 / 822
页数:9
相关论文
共 39 条
  • [1] YIN Jiabo, GUO Shenglian, YANG Yan, ct al, Projection of droughts and their socioeconomic exposures based on terrestrial water storage anomaly over China, Science China Earth Sciences, 65, 9, pp. 1772-1787, (2022)
  • [2] CHEN J L, WILSON C R, TAPLEY B D, Et al., 2005 drought event in the Amazon River basin as measured by GRACE and estimated by climate models, Journal of Geophysical Research: Solid Earth, 114, B5, (2009)
  • [3] CHEW C C, SMALL E E., Terrestrial water storage response to the 2012 drought estimated from GPS vertical position anomalies, Geophysical Research Letters, 41, 17, pp. 6145-6151, (2014)
  • [4] BRIANT B, CLAIRE C, MATHIAS M, Et al., Water resource monitoring exploiting Sentinel-2 satellite and Sentinel-2 satellite like time series
  • [5] application in Yangtze River water bodies, Journal of Geodesy and Geoinformation Science, 3, 4, pp. 41-49, (2020)
  • [6] DOLL P, FRITSCHE M, EICKER A, Et al., Seasonal water storage variations as impacted by water abstractions
  • [7] comparing the output of a global hydrological model with GRACE and GPS obscrvations, Surveys in Geophysics, 35, 6, pp. 1311-1331, (2014)
  • [8] YAO Chaolong, LUO Zhicai, HU Yucming, Detecting droughts in Southwest China from GPS vertical position displacements, Journal of Geodesy and Geoinformation Science, 3, 3, pp. 50-58, (2020)
  • [9] WANG Xiaolei, HE Xiufeng, ZHANG Qin, Et al., The preliminary discussion of the potential of GNSS-IR technology for terrain retrievals, Journal of Geodesy and Geoinformation Science, 4, 2, pp. 79-88, (2021)
  • [10] RODELL M, LI Bailing, Changing intensity of hydroclimatic extreme events revealed by GRACE and GRACE-FO, Nature Water, l, 3, pp. 241-248, (2023)