全球89个河流流域的GNSS评估与GRACE同化的储水模型
Majid Abbaszadeh1, Tonie van Dam2
1Faculty of Science, Technology and Medicine, University of Luxembourg, Luxembourg, Luxembourg. majid.abbaszadeh@uni.lu.
Scientific reports
|January 29, 2026
概括
全球导航卫星系统 (GNSS) 的数据显示,CLSM-DA水文模型比GLWS2.0.0更好地与陆地储水变化保持一致. 这个验证突出显示了GNSS数据.
科学领域:
- 地质测量是指地质测量.
- 水文学的水文学
- 气候科学 气候科学
背景情况:
- 重力恢复和气候实验 (GRACE) 和GRACE后续实验 (GFO) 为陆地水循环提供了关键数据.
- 与GRACE同化 (GA) 的水文模型显示出显著的差异,需要独立验证.
- 全球卫星导航系统 (GNSS) 为评估水文模型提供了有价值的地理测量数据集.
研究的目的:
- 评估和比较两个全球GRACE同化 (GA) 数据集:全球陆地储水释放2 (GLWS2.0) 和收获区土地表面模型GRACE数据同化 (CLSM-DA).
- 通过将它们预测的水文负载垂直位移与GNSS提升数据进行比较,评估这些GA数据集的质量.
- 确定当前GA水文模型的局限性,并证明地质观测观测的实用性.
主要方法:
- 利用全球导航卫星系统 (GNSS) 来自9,163个站点的数据,这些站点聚集在89个河流流域.
- 在GLWS2.0和CLSM-DA数据集 (2004-2019) 之间对等水厚 (EWT) 变化的年幅和时间进行比较.
- 与GNSS提升数据对比,验证了模拟的水文负载垂直位移,以评估模型性能.
主要成果:
- 与GLWS2.0.0相比,CLSM-DA在更多的河流流域中与GNSS数据达成更好的一致.
- 由于CLSM-DA的较大的年水变化 (100-300毫米),改善了非洲,东南亚和南美洲的协议.
- CLSM-DA的相位延迟 (30-60天) 提高了在类似幅度的地区与GNSS的对齐,如美国西部和东欧.
结论:
- 根据GNSS数据的验证,CLSM-DA在表示陆地储水变化方面通常优于GLWS2.0.
- 这两种GA模型都有局限性,特别是在干旱等极端水文事件期间.
- 地测观测,如GNSS,对于提高GRACE同化水文模型的准确性和可靠性至关重要.
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