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DOI10.1016/j.rse.2019.111554
Lake water and glacier mass gains in the northwestern Tibetan Plateau observed from multi-sensor remote sensing data: Implication of an enhanced hydrological cycle
Zhang G.; Chen W.; Li G.; Yang W.; Yi S.; Luo W.
发表日期2020
ISSN00344257
卷号237
英文摘要Lakes and glaciers are widely distributed in the northwestern Tibetan Plateau. A synchronized examination of lake and glacier mass variations there has not previously been conducted, which has limited the understanding of the lake water balance and the hydrologic cycle in the region. In this study, we comprehensively examine lake area and volume, and glacier mass changes using multi-sensor satellite data. We find that lake expansion in the northwestern Tibetan Plateau was more robust from 1976 to 2018 when compared to other regions of the plateau, especially for the glacier-fed and endorheic lakes. Lake volume changes show that most of the lakes had an increase in water volume, particularly in 2000–2018 with a total water storage gain of ~28.6 Gt. By using high-resolution KH-9 and TanDEM-X data, we observe that the glacier surface elevation of the western Kunlun Mountains had a slight thinning rate of −0.07 ± 0.16 m/yr in 1973–2000, but a positive rate of 0.002 ± 0.003 m/yr in 2000–2018. The heterogeneous pattern of glacier elevation changes between the north (N) and south (S) slopes are revealed, i.e. -0.02 ± 0.01 m/yr (N) against −0.12 ± 0.03 m/yr (S) in 1973–2000 and − 0.05 ± 0.02 m/yr (N) against 0.06 ± 0.02 m/yr (S) in 2000–2018. Overall, the glaciers trend to a stable state (~0.05 m/yr) in both the south slope of the western Kunlun Mountains and Aru Co regions between 2000 and 2018. Similar patterns are also found for basin-wide examinations of lake storage changes (mass gains) and glacier mass budgets (positive or close to stable). The seasonal snow cover area changes, derived from cloud-free MODIS snow cover products, present a variable and insignificant trend between 2003 and 2017. Snow depth derived from passive microwave remote-sensing data, exhibits a decreasing trend between 1979 and 2015, but the water equivalent could contribute only an insignificant amount to the observed lake changes. The lake water gains, and almost positive glacier mass balance imply that the hydrological cycle in the northwestern Tibetan Plateau has become enhanced. © 2019 Elsevier Inc.
英文关键词Glacier change; Hydrological cycle; Lake change; Multi-sensor remote sensing; Northwestern Tibetan plateau
语种英语
scopus关键词Budget control; Digital storage; Remote sensing; Snow; Glacier change; Glacier mass balance; Hydrological cycles; Multi sensor; Passive microwave remote sensing; Remote sensing data; Snow-cover products; Tibetan Plateau; Lakes; glacier dynamics; glacier mass balance; hydrological cycle; lake water; MODIS; satellite data; TanDEM-X; water budget; water storage; Aru Basin; China; Kunlun Mountains; Qinghai-Xizang Plateau; Xizang
来源期刊Remote Sensing of Environment
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/179542
作者单位Key Laboratory of Tibetan Environmental Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China; Institute of Space and Earth Information Science, The Chinese University of Hong KongNew Territories, Hong Kong; Institute of Geodesy, University of Stuttgart, Stuttgart, Germany; University of Chinese Academy of Sciences, Beijing, China
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GB/T 7714
Zhang G.,Chen W.,Li G.,et al. Lake water and glacier mass gains in the northwestern Tibetan Plateau observed from multi-sensor remote sensing data: Implication of an enhanced hydrological cycle[J],2020,237.
APA Zhang G.,Chen W.,Li G.,Yang W.,Yi S.,&Luo W..(2020).Lake water and glacier mass gains in the northwestern Tibetan Plateau observed from multi-sensor remote sensing data: Implication of an enhanced hydrological cycle.Remote Sensing of Environment,237.
MLA Zhang G.,et al."Lake water and glacier mass gains in the northwestern Tibetan Plateau observed from multi-sensor remote sensing data: Implication of an enhanced hydrological cycle".Remote Sensing of Environment 237(2020).
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