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基于卫星的土壤湿度观测显示,秋季后期的土壤湿度观测显示出与随后的春季溪流流的明显联系
Randal D Koster1, Qing Liu2,3, Wade T Crow4
1Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA. randal.d.koster@nasa.gov.
Nature communications
|June 15, 2023
概括
卫星土壤湿度数据可以改善季节性溪流预测. 来自土壤湿度主动被动卫星的深秋地表土壤湿度估计显示,与春季河流的强烈联系,提供了一个新的预测工具.
科学领域:
- 水文学的水文学
- 遥感 遥感 遥感 遥感
- 环境科学 环境科学
背景情况:
- 在潮湿的土壤上,排水效率更高.
- 土壤水分表现出记忆,影响水文过程.
- 精确的流量预测对于水资源管理至关重要.
研究的目的:
- 评估卫星衍生的土壤水分对于季节性流动预测的潜力.
- 为了研究深秋表面土壤水分和随后的春季溪流流之间的关系.
- 为了预测技能,将卫星土壤湿度数据与再分析产品进行比较.
主要方法:
- 使用的表面 (0-5厘米) 从NASA的土壤湿度主动被动 (SMAP) 卫星获取土壤水分.
- 分析了美国236个不受管制的河流流域的流量数据.
- 与随后的春季溪流流量测量相关的晚秋SMAP土壤湿度估计.
主要成果:
- 根据卫星数据,在秋季晚期的地表土壤湿度和春季的流量之间发现了强烈的相关性.
- 仅仅通过卫星检索土壤水分,就证明了熟练预测季节性溪流流动的潜力.
- 在数据稀缺的地区,卫星数据可能超过再分析土壤水分产品的流量预测.
结论:
- 来自卫星的地表土壤水分是季节性流动的有价值预测因素.
- SMAP数据为推进水文预测能力提供了一个有希望的,独立的方法.
- 这种方法可以提高流量预测的准确性,特别是在地面仪器有限的地区.
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