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河流排放的方法评估来自遥感和陆地表面模型

Bhavya Duvvuri¹, Jacyln Gehring², Edward Beighley²

¹Department of Civil and Environmental Engineering, Northeastern University, Boston, USA. duvvuri.b@northeastern.edu.

Scientific reports

|October 28, 2024

概括

这项研究比较了来自卫星的河流排放方法,发现高度计对各种流量有效,TWSA对平均流量良好. 水文模型显示性能可变,NOAH的性能优于CLSM,特别是在复杂的系统中.

科学领域:

水文学的水文学
遥感遥感遥感遥感
地球科学地球科学地球科学

背景情况:

准确的河流排放估计对于水资源管理和洪水预测至关重要.
传统方法受到稀疏轨道网络的限制,需要采用替代方法.
遥感和水文模型为大规模排放评估提供了补充方法.

研究的目的:

评估和比较来自CONUS的卫星遥感和陆地表面模型的河流排放估计.
评估不同遥感技术 (GRACE TWSA,卫星高度测量) 和陆地表面模型 (NOAH,CLSM) 的性能.
在各种水气候条件下确定每个方法的优点和局限性.

主要方法:

利用了来自GRACE的总储水异常 (TWSA) 和来自JASON-2/3和Sentinel-3卫星的水面升高.
从NOAH和CLSM陆地表面模型中使用的表面和地下水流,通过Hillslope River Routing模型进行路由.
使用Kling-Gupta效率 (KGE) 和USGS流量测量数据验证的排放估计.

主要成果:

卫星高度测量在一系列河流排放中表现良好.
格雷斯TWSA有效地捕获了平均河流的流量.
诺亚陆地表面模型的性能普遍优于CLSM,尽管性能因水气候条件和排水面积而异.
GLDAS模型,特别是CLSM,在以雪为主,半干旱和受管制的系统中显示出局限性,经常高估排放量和时间.

结论:

这两种卫星导出的排放方法都是有效的,为河流动力学提供了有价值的见解.
土地表面模型的性能对模型物理,强迫和同化技术很敏感,突出了需要改进的领域.
需要进一步的研究来完善水文模型,以便在具有挑战性的水气候环境中进行准确的模拟.

关键词:

在CLSM中,使用的是CLSM.格尔达斯·格尔达斯 (Gldas Gldas) 是一个在GRACE-FO的基础上.KGE KGE 在线观看诺亚诺亚和度过多的情况

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