测绘通报 ›› 2024, Vol. 0 ›› Issue (10): 39-45.doi: 10.13474/j.cnki.11-2246.2024.1007.

• 学术研究 • 上一篇    下一篇

融合GNSS和GRACE/GFO数据反演西南地区陆地水储量变化

刘鹏1, 段虎荣1,2, 张成浩1, 王金驰1, 梁文康1   

  1. 1. 西安科技大学测绘科学与技术学院, 陕西 西安 710054;
    2. 中国科学院精密测量科学与技术创新 研究院大地测量与地球动力学国家重点实验室, 湖北 武汉 430077
  • 收稿日期:2024-01-25 发布日期:2024-11-02
  • 通讯作者: 段虎荣,E-mail:duanhurong@126.com
  • 作者简介:刘鹏(1997—),男,硕士生,研究方向为卫星大地测量。E-mail:pliu126@126.com
  • 基金资助:
    大地测量与地球动力学国家重点实验室开放基金(SKLGED2022-5-2);陕西省自然科学基础研究计划(2021JQ562)

Integrating GNSS and GRACE data to estimate terrestrial water storage changes in the southwestern region

LIU Peng1, DUAN Hurong1,2, ZHANG Chenghao1, WANG Jinchi1, LIANG Wenkang1   

  1. 1. College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China;
    2. State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China
  • Received:2024-01-25 Published:2024-11-02

摘要: 为解决单一使用GNSS或GRACE/GFO等技术反演区域陆地储水量变化存在的不足,本文借鉴分解-重构法的思想,提出了一种融合GNSS和GRACE/ GFO反演区域陆地储水量变化的方法。利用来自中国陆态网西南地区的90个GNSS测站时间序列数据,融合GNSS和GRACE/GFO反演了中国西南地区2012—2022年的陆地水储量变化,并通过空间分布分析对比其他融合方法及降水数据,验证了本文融合方法的性能。结果表明,融合反演结果在空间分布上综合了GNSS和GRACE/GFO的优点;在时间尺度上,GNSS、GRACE/GFO的反演结果均滞后于降水2个月,而融合反演结果仅滞后于降水1个月,且相应的相关系数也高于GNSS、GRACE/GFO反演结果。因此,本文方法为融合多源数据以获取更可靠的区域陆地水储量变化提供了一种参考。

关键词: GNSS, GRACE/GFO, 融合反演, 陆地水储量变化, 中国西南地区

Abstract: In order to address the limitations of using global navigation satellite system (GNSS) or Gravity Recovery and Climate Experiment (GRACE)/GRACE follow-on(GFO) technology alone for retrieving regional terrestrial water storage changes. A method for integrating GNSS and GRACE/GFO data to estimate changes in regional terrestrial water storage is provided in this paper, drawing inspiration from the “decomposition-reconstruction method.” Changes in terrestrial water storage in southwestern China from 2012 to 2022 are estimated by integrating GNSS and GRACE/GFO data using time series data from 90 GNSS stations in southwestern China. The performance of our fusion method is verified through spatial distribution analysis and comparison with other fusion methods and precipitation data. The results demonstrate that the fusion inversion combines the advantages of GNSS and GRACE/GFO in spatial distribution. On the time scale, the inversion results from GNSS and GRACE/GFO both lag behind precipitation by 2 months, whereas the fusion inversion results lag behind precipitation by only 1 month, and the corresponding correlation coefficients are also higher than those of GNSS or GRACE/GFO inversion results. Therefore, the fusion method provided in this paper offers a reference for combining multiple data sources to obtain more reliable regional terrestrial water storage changes.

Key words: GNSS, GRACE/GFO, fusion inversion, terrestrial water storage change, southwest China

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