气候变化领域集成服务门户(CCPortal): Leveraging ICESat, ICESat-2, and Landsat for Global-Scale, Multi-Decadal Reconstruction of Lake Water Levels

CCPortal

DOI	10.1029/2023WR035721
	Leveraging ICESat, ICESat-2, and Landsat for Global-Scale, Multi-Decadal Reconstruction of Lake Water Levels
	Yao, Fangfang; Livneh, Ben; Rajagopalan, Balaji; Wang, Jida; Yang, Kehan; Cretaux, Jean-Francois; Wang, Chao; Minear, J. Toby
发表日期	2024
ISSN	0043-1397
EISSN	1944-7973
起始页码	60
结束页码	2
卷号	60 期号:2
英文摘要	Lakes provide important water resources and many essential ecosystem services. Some of Earth's largest lakes recently reached record-low levels, suggesting increasing threats from climate change and anthropogenic activities. Yet, continuous monitoring of lake levels is challenging at a global scale due to the sparse in situ gauging network and the limited spatial or temporal coverage of satellite altimeters. A few pioneering studies used water areas and hypsometric curves to reconstruct water levels but suffered from large uncertainties due to the lack of high-quality hypsometry data. Here, we propose a novel proxy-based method to reconstruct multi-decadal water levels from 1992 to 2018 for both large and small lakes using Landsat images and ICESat (2003-2009) and recently launched ICESat-2 (2018+) laser altimeters. Using the new method, we evaluate reconstructed levels of 342 lakes worldwide, with sizes ranging from 1 to 81,844 km2. Reconstructed water levels have a median root-mean-square error (RMSE) of 0.66 m, equivalent to 57% of the standard deviation of monthly level variability. Compared with two recently reconstructed water level data sets, the proposed method reduces the median RMSE by 27%-32%. The improvement is attributable to the new method's robust construction of high-quality hypsometry, with a median R2 value of 0.92. Most reconstructed water level time series have a bi-monthly or higher frequency. Given that ICESat-2 and Landsat can observe hundreds of thousands of water bodies, this method can be applied to conduct an improved global inventory of time-varying lake levels and thus inform water resource management more broadly than existing methods. Landsat images and laser altimeters were leveraged to reconstruct multi-decadal lake levels of both large and small lakes Reconstructed water levels were validated against observed levels on 342 global lakes with a median error of 0.66 m Most of the reconstructed lake level time series have a bi-monthly or higher frequency
英文关键词	lakes; water level; Landsat; ICESat-2; reconstruction; reservoirs
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
WOS类目	Environmental Sciences ; Limnology ; Water Resources
WOS记录号	WOS:001166417000001
来源期刊	WATER RESOURCES RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/304078
作者单位	University of Colorado System; University of Colorado Boulder; University of Virginia; University of Colorado System; University of Colorado Boulder; University of Illinois System; University of Illinois Urbana-Champaign; Kansas State University; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; Universite de Toulouse; Universite Toulouse III - Paul Sabatier; University of North Carolina; University of North Carolina Chapel Hill
推荐引用方式 GB/T 7714	Yao, Fangfang,Livneh, Ben,Rajagopalan, Balaji,et al. Leveraging ICESat, ICESat-2, and Landsat for Global-Scale, Multi-Decadal Reconstruction of Lake Water Levels[J],2024,60(2).
APA	Yao, Fangfang.,Livneh, Ben.,Rajagopalan, Balaji.,Wang, Jida.,Yang, Kehan.,...&Minear, J. Toby.(2024).Leveraging ICESat, ICESat-2, and Landsat for Global-Scale, Multi-Decadal Reconstruction of Lake Water Levels.WATER RESOURCES RESEARCH,60(2).
MLA	Yao, Fangfang,et al."Leveraging ICESat, ICESat-2, and Landsat for Global-Scale, Multi-Decadal Reconstruction of Lake Water Levels".WATER RESOURCES RESEARCH 60.2(2024).