{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T02:34:44Z","timestamp":1768703684376,"version":"3.49.0"},"reference-count":34,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2021,1,15]],"date-time":"2021-01-15T00:00:00Z","timestamp":1610668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Science and Technology of the People\u2019s Republic of China","award":["2019QZKK0202"],"award-info":[{"award-number":["2019QZKK0202"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41831177"],"award-info":[{"award-number":["41831177"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41901078"],"award-info":[{"award-number":["41901078"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chinese Academy Sciences Strategic Priority Research Program","award":["XDA20020100"],"award-info":[{"award-number":["XDA20020100"]}]},{"name":"Chinese Academy Science Alliance of Field Observation Stations","award":["KFJ-SW-YW038"],"award-info":[{"award-number":["KFJ-SW-YW038"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Lake water storage is essential information for lake research. Previous studies usually used bathymetric data to acquire underwater topography by interpolation method, and to therefore estimate water storage. However, due to the large area of Tibetan Plateau (TP) lakes, the method of bathymetry was challenging to cover the whole region of one lake, and the accuracy of the underwater topography, in which no bathymetric data covered, was low, which resulted in a comparatively large error of lake water storage estimation and its change. In this study, we used Shuttle Radar Topography Mission (SRTM) and in situ bathymetric data to establish the underwater topography of Hohxil Lake (HL) and Lexiewudan Lake (LL) in the Hohxil Region of North TP and estimate and analyzed the changes of lake level and water storage. The results showed HL and LL\u2019s water storage was 5.12 km3 and 5.31 km3 in 2019, respectively, and their level increased by 0.5 m\/y and 0.57 m\/y during 2003\u22122018, respectively. They were consistent with those (0.5 m\/y and 0.5 m\/y) from altimetry data, and they were much more accurate than those results (0.077 m\/y and 0.156 m\/y) from bathymetric data. These findings indicated that this method could improve the accuracy of lake water storage and change estimation. We estimated water storage of two lakes by combining with multitemporal Landsat images, which had doubled since 1976. Our results suggested that the increasing precipitation may dominate the lake expansion by comparing with the change of temperature and precipitation and the increasing glacial meltwater contributed approximately 4.8% and 10.7% to lake expansion of HL and LL during 2000\u20132019 based on the glacier mass balance data, respectively.<\/jats:p>","DOI":"10.3390\/rs13020293","type":"journal-article","created":{"date-parts":[[2021,1,20]],"date-time":"2021-01-20T03:34:25Z","timestamp":1611113665000},"page":"293","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Improve the Accuracy of Water Storage Estimation\u2014A Case Study from Two Lakes in the Hohxil Region of North Tibetan Plateau"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6351-8104","authenticated-orcid":false,"given":"Baojin","family":"Qiao","sequence":"first","affiliation":[{"name":"Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing 100101, China"},{"name":"School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China"}]},{"given":"Jianting","family":"Ju","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4234-8748","authenticated-orcid":false,"given":"Liping","family":"Zhu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing 100101, China"},{"name":"CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3144-7660","authenticated-orcid":false,"given":"Hao","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing 100101, China"}]},{"given":"Jinlei","family":"Kai","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Qiangqiang","family":"Kou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.rse.2018.12.037","article-title":"Temporal-Spatial differences in lake water storage changes and their links to climate change throughout the Tibetan Plateau","volume":"222","author":"Qiao","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.rse.2013.03.013","article-title":"Modeling and analysis of lake water storage changes on the Tibetan Plateau using multi-mission satellite data","volume":"135","author":"Song","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.jhydrol.2014.04.018","article-title":"Seasonal and abrupt changes in the water level of closed lakes on the Tibetan Plateau and implications for climate impacts","volume":"514","author":"Song","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1007\/s10584-016-1877-9","article-title":"Spatiotemporal variations in volume of closed lakes on the Tibetan Plateau and their climatic responses from 1976 to 2013","volume":"140","author":"Yang","year":"2017","journal-title":"Clim. Change"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1733","DOI":"10.1016\/j.rse.2011.03.005","article-title":"Monitoring lake level changes on the Tibetan Plateau using ICESat altimetry data (2003\u22122009)","volume":"115","author":"Zhang","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"5550","DOI":"10.1002\/2017GL073773","article-title":"Lake volume and groundwater storage variations in Tibetan Plateau\u2019s endorheic basin","volume":"44","author":"Zhang","year":"2017","journal-title":"Geophys. Res. Lett."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.rse.2018.11.038","article-title":"Regional differences of lake evolution across China during 1960s\u20132015 and its natural and anthropogenic causes","volume":"221","author":"Zhang","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1306","DOI":"10.1016\/j.scib.2019.07.018","article-title":"A robust but variable lake expansion on the Tibetan Plateau","volume":"64","author":"Zhang","year":"2019","journal-title":"Sci. Bull."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"103269","DOI":"10.1016\/j.earscirev.2020.103269","article-title":"Response of Tibetan Plateau lakes to climate change: Trends, patterns, and mechanisms","volume":"208","author":"Zhang","year":"2020","journal-title":"Earth Sci. Rev."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"8060","DOI":"10.1002\/2014WR015846","article-title":"Exploring the water storage changes in the largest lake (SelinCo) over the Tibetan Plateau during 2003\u20132012 from a basin-wide hydrological modeling","volume":"51","author":"Zhou","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_11","first-page":"1","article-title":"Increased mass over the Tibetan Plateau: From lakes or glaciers?","volume":"40","author":"Zhang","year":"2013","journal-title":"Geophys. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"133399","DOI":"10.1016\/j.scitotenv.2019.07.205","article-title":"Difference and cause analysis of water storage changes for glacier-fed and non-glacier-fed lakes on the Tibetan Plateau","volume":"693","author":"Qiao","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1007\/s10584-015-1578-9","article-title":"Contrasting evolution patterns between glacier-fed and non-glacier-fed lakes in the Tanggula Mountains and climate cause analysis","volume":"135","author":"Song","year":"2016","journal-title":"Clim. Change"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"124052","DOI":"10.1016\/j.jhydrol.2019.124052","article-title":"Estimation of lake water storage and changes based on bathymetric data and altimetry data and the association with climate change in the central Tibetan Plateau","volume":"578","author":"Qiao","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.jhydrol.2019.01.007","article-title":"Quantifying glacier mass change and its contribution to lake growths in central Kunlun during 2000\u22122015 from multi-source remote sensing data","volume":"570","author":"Zhou","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.gloplacha.2016.12.018","article-title":"Recent decadal glacier mass balances over the Western Nyainqentanglha Mountains and the increase in their melting contribution to Nam Co Lake measured by differential bistatic SAR interferometry","volume":"49","author":"Li","year":"2017","journal-title":"Glob. Planet. Chang."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"111534","DOI":"10.1016\/j.rse.2019.111554","article-title":"Lake water and glacier mass gains in the northwestern Tibetan Plateau observed from multi-sensor remote sensing data: Implication of an enhanced hydrological cycle","volume":"237","author":"Zhang","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1029\/2019GL085032","article-title":"Tibetan Plateau\u2019s lake level and volume changes from NASA\u2019s ICESat\/ICESat-2 and Landsat missions","volume":"46","author":"Zhang","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1002\/2016GL072062","article-title":"Lake seasonality across the Tibetan Plateau and their varying relationship with regional mass changes and local hydrology","volume":"44","author":"Lei","year":"2017","journal-title":"Geophys. Res. Lett."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.quaint.2017.08.005","article-title":"Estimation of lakes water storage and their changes on the northwestern Tibetan Plateau based on bathymetric and Landsat data and driving force analyses","volume":"454","author":"Qiao","year":"2017","journal-title":"Quatern. Int."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1016\/j.jhydrol.2018.05.040","article-title":"An integrated investigation of lake storage and water level changes in the Paiku Co basin, central Himalayas","volume":"562","author":"Lei","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_22","unstructured":"Li, B.Y., Gu, G.A., and Li, S.D. (1996). Physical Environment of HohXil Region, Qinghai. The Comprehensive Scientific Expedition to the Hoh Xil Region, Science Press. (In Chinese)."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"014009","DOI":"10.1088\/1748-9326\/9\/1\/014009","article-title":"Glacier mass changes on the Tibetan Plateau 2003\u20132009 derived from ICESat laser altimetry measurements","volume":"9","author":"Neckel","year":"2014","journal-title":"Environ. Res. Lett."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"111664","DOI":"10.1016\/j.rse.2020.111664","article-title":"Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine","volume":"240","author":"DeVires","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.rse.2018.02.055","article-title":"High-Resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform","volume":"209","author":"Liu","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2019.04.015","article-title":"Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine","volume":"228","author":"Wu","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"111317","DOI":"10.1016\/j.rse.2019.111317","article-title":"Using Landsat observations (1988\u20132017) and Google Earth Engine to detect vegetation cover changes in rangelands\u2014A first step towards identifying degraded lands for conservation","volume":"232","author":"Xie","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"111210","DOI":"10.1016\/j.rse.2019.111210","article-title":"Constructing long-term high-frequency time series of global lake and reservoir areas using Landsat imagery","volume":"232","author":"Yao","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"3056","DOI":"10.1002\/hyp.6892","article-title":"Decadal trend of climate in the Tibetan Plateau\u2014Regional temperature and precipitation","volume":"22","author":"Xu","year":"2008","journal-title":"Hydrol. Process."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/s10584-017-2127-5","article-title":"Quantifying recent precipitation change and predicting lake expansion in the Inner Tibetan Plateau","volume":"147","author":"Yang","year":"2018","journal-title":"Clim. Chang."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1263","DOI":"10.5194\/tc-7-1263-2013","article-title":"Region-Wide glacier mass balances over the Pamir-Karakoram-Himalaya during 1999\u20132011","volume":"7","author":"Gardelle","year":"2013","journal-title":"Cryosphere"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1038\/nclimate1580","article-title":"Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings","volume":"2","author":"Yao","year":"2012","journal-title":"Nat. Clim. Chang."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.rse.2018.03.020","article-title":"Glacier mass balance in the Qinghai\u2014Tibet Plateau and its surroundings from the mid-1970s to 2000 based on Hexagon KH-9 and SRTM DEMs","volume":"210","author":"Zhou","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1038\/ngeo2999","article-title":"A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016","volume":"10","author":"Brun","year":"2017","journal-title":"Nat. Geosci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/2\/293\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:11:47Z","timestamp":1760159507000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/2\/293"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,15]]},"references-count":34,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2021,1]]}},"alternative-id":["rs13020293"],"URL":"https:\/\/doi.org\/10.3390\/rs13020293","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,15]]}}}