@article{798f95675aa9441781230863929556f0,
title = "Estimation of glacier mass loss and its contribution to river runoff in the source region of the Yangtze River during 2000–2018",
abstract = "With rapid climatic warming, glaciers in the source region of the Yangtze River (SRYR) generally experienced apparent terminus retreats over the past several decades. However, the influence of glacier melting in the river runoff of the SRYR remains poorly known due to lack of glacier mass balance measurements. In this study, we derived the glacier mass changes of the SRYR in 2000–2018 by comparing the digital elevation models (DEMs) produced from ZiYuan-3 tri-stereo scenes with the SRTM DEM. Glacier mass balances were spatially heterogeneous (range from −0.55 ± 0.12 to −0.14 ± 0.05 m w.e. yr−1) in the SRYR, which may be mainly attributed to the spatial difference in snowfall variation. Overall, the glacier mass loss of −0.343 ± 0.055 Gt yr−1 was estimated for the entire SRYR. By using the hydrological data recorded by the Zhimenda station, we calculated the annual runoff of 17.84 Gt yr−1 between 2000 and 2018. Therefore, the contribution of glacier mass loss to the river runoff of the SRYR was only 1.9 ± 0.3\% in 2000–2018. Our results reveal that glacier melting was not the major water resource in the SRYR during recent decades.",
keywords = "Glacier mass loss, River runoff, The source region of the Yangtze River, Tibetan Plateau, ZiYuan-3",
author = "Lin Liu and Liming Jiang and Hansheng Wang and Xiaoli Ding and Houze Xu",
note = "Funding Information: This study was jointly supported by the Second Tibetan Plateau Scientific Expedition and Research (STEP) program (2019QZKK0905), the National Key Research and Development Program (2017YFA0603103 and 2018YFC1406102), the National Natural Science Foundation of China (41431070, 41704023 and 41590854), the China Postdoctoral Science Foundation (2017M622452), and the Key Research Program of Frontier Sciences, CAS (QYZDB-SSW-DQC027 and QYZDJ-SSW-DQC042). The authors would like to thank the LSRSAC for providing the ZY3-02 tri-stereo optical images and the Space Date Processor software, the United States Geological Survey (USGS) for providing the SRTM-C DEM, the German Aerospace Center (DLR) for providing the SRTM-X DEM, the National Aeronautics and Space Administration (NASA) for providing the Landsat optical scenes, and the European Centre for Medium-Range Weather Forecasts (ECMWF) for providing the ERA-5 reanalysis data. Funding Information: This study was jointly supported by the Second Tibetan Plateau Scientific Expedition and Research (STEP) program ( 2019QZKK0905 ), the National Key Research and Development Program ( 2017YFA0603103 and 2018YFC1406102 ), the National Natural Science Foundation of China ( 41431070 , 41704023 and 41590854 ), the China Postdoctoral Science Foundation ( 2017M622452 ), and the Key Research Program of Frontier Sciences, CAS ( QYZDB-SSW-DQC027 and QYZDJ-SSW-DQC042 ). The authors would like to thank the LSRSAC for providing the ZY3-02 tri-stereo optical images and the Space Date Processor software, the United States Geological Survey (USGS) for providing the SRTM-C DEM , the German Aerospace Center (DLR) for providing the SRTM-X DEM , the National Aeronautics and Space Administration (NASA) for providing the Landsat optical scenes, and the European Centre for Medium-Range Weather Forecasts (ECMWF) for providing the ERA-5 reanalysis data. Publisher Copyright: {\textcopyright} 2020",
year = "2020",
month = oct,
doi = "10.1016/j.jhydrol.2020.125207",
language = "English",
volume = "589",
journal = "Journal of Hydrology",
issn = "0022-1694",
publisher = "Elsevier B.V.",
}