{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T20:32:00Z","timestamp":1769200320932,"version":"3.49.0"},"reference-count":35,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T00:00:00Z","timestamp":1705449600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Second Tibetan Plateau Scientific Expedition and Research","award":["2019QZKK0202"],"award-info":[{"award-number":["2019QZKK0202"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research","award":["41901078"],"award-info":[{"award-number":["41901078"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research","award":["41831177"],"award-info":[{"award-number":["41831177"]}]},{"DOI":"10.13039\/501100001809","name":"NSFC project","doi-asserted-by":"publisher","award":["2019QZKK0202"],"award-info":[{"award-number":["2019QZKK0202"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC project","doi-asserted-by":"publisher","award":["41901078"],"award-info":[{"award-number":["41901078"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC project","doi-asserted-by":"publisher","award":["41831177"],"award-info":[{"award-number":["41831177"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The variation of lake water storage is an important indicator for studying both climate change and ecological environment changes. Previous studies have mainly focused on the lake storage changes in recent decades, and predicting future lake storage changes on the Tibetan Plateau under climate change scenarios remains a crucial gap. We addressed this gap by establishing prediction models for water storage changes in nine lakes using historical water storage and climate data from the past 29 years and predicting the water storage changes for the next 80 years under three scenarios based on Phase 6 of the Coupled Model Intercomparison Project (CMIP6) data. The Quantile-mapping (QM) method was applied to correct the precipitation data of CMIP6 with assimilated data. The results indicated that the prediction model performed well, with high correlation (R2 &gt; 0.7 for the training set) and low mean absolute error (MSE &lt; 0.1 km3). The results suggest that most lakes will experience a slight increase in water storage until 2050, followed by a rapid rise until 2100 under all three SSP (Shared Socioeconomic Pathways) scenarios, including SSP126, SSP245, and SSP585. By the end of the century, the total projected increase in lake water storage is estimated to be 189.676 \u00b1 16.266 km3, 191.762 \u00b1 10.683 km3, and 186.212 \u00b1 6.441 km3 until 2100, respectively.<\/jats:p>","DOI":"10.3390\/rs16020375","type":"journal-article","created":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T07:41:28Z","timestamp":1705477288000},"page":"375","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Predicting Future Lake Water Storage Changes on the Tibetan Plateau under Different Climate Change Scenarios"],"prefix":"10.3390","volume":"16","author":[{"given":"Yue","family":"Hou","sequence":"first","affiliation":[{"name":"School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4234-8748","authenticated-orcid":false,"given":"Liping","family":"Zhu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Tibetan Plateau Earth System and Resources Environment, Chinese Academy of Sciences, Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6351-8104","authenticated-orcid":false,"given":"Baojin","family":"Qiao","sequence":"additional","affiliation":[{"name":"School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China"}]},{"given":"Run","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geography and Tourism, Luoyang Normal University, Luoyang 471000, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1256","DOI":"10.1080\/02626667.2013.809088","article-title":"\u201cPanta Rhei\u2014Everything flows\u201d: Change in hydrology and society\u2014The IAHS scientific decade 2013\u20132022","volume":"58","author":"Montanari","year":"2013","journal-title":"Hydrol. Sci. J."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1038\/nclimate2246","article-title":"A precipitation shift from snow towards rain leads to a decrease in streamflow","volume":"4","author":"Berghuijs","year":"2014","journal-title":"Nat. Clim. Change"},{"key":"ref_3","unstructured":"(2014). Climate Change 2013: The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press."},{"key":"ref_4","unstructured":"(2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group14 I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, The Intergovernmental Panel on Climate Change. Technical Summary."},{"key":"ref_5","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. Int. J."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1021","DOI":"10.1007\/s11434-014-0128-6","article-title":"Monitoring lake changes of Qinghai-Tibetan Plateau over the past 30 years using satellite remote sensing data","volume":"59","author":"Wan","year":"2014","journal-title":"Chin. Sci. Bull."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3010","DOI":"10.1007\/s11434-014-0258-x","article-title":"Lakes\u2019 state and abundance across the Tibetan Plateau","volume":"59","author":"Zhang","year":"2014","journal-title":"Chin. Sci. Bull."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.gloplacha.2015.05.013","article-title":"An inventory of glacial lakes in the Third Pole region and their changes in response to global warming","volume":"131","author":"Zhang","year":"2015","journal-title":"Glob. Planet. Change"},{"key":"ref_9","first-page":"12","article-title":"ICESat derived elevation changes of Tibetan lakes between 2003 and 2009","volume":"17","author":"Phan","year":"2012","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_10","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_11","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\u20132009)","volume":"115","author":"Zhang","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1254","DOI":"10.1360\/N972018-01206","article-title":"Lake variations on Tibetan Plateau of recent 40 years and future changing tendency","volume":"34","author":"Zhu","year":"2019","journal-title":"Bull. Chin. Acad. Sci."},{"key":"ref_13","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_14","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_15","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_16","doi-asserted-by":"crossref","first-page":"13115","DOI":"10.1029\/2019GL085032","article-title":"Tibetan Plateau\u2019s lake level and storage changes from NASA\u2019s ICESat\/ICESat-2 and Landsat missions","volume":"46","author":"Zhang","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1007\/s10584-016-1877-9","article-title":"Spatiotemporal variations in storage 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_18","doi-asserted-by":"crossref","first-page":"064011","DOI":"10.1088\/1748-9326\/aab5d3","article-title":"Lake storage variation on the endorheic Tibetan Plateau and its attribution to climate change since the new millennium","volume":"13","author":"Yao","year":"2018","journal-title":"Environ. Res. Lett."},{"key":"ref_19","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_20","first-page":"174","article-title":"Progress on the projections of future climate change with various emission scenarios","volume":"23","author":"Zhang","year":"2008","journal-title":"Adv. Earth Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s13351-020-9164-0","article-title":"Development of climate and earth system models in China: Past achievements and new CMIP6 results","volume":"34","author":"Zhou","year":"2020","journal-title":"J. Meteorol. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1038\/s41558-018-0355-y","article-title":"Taking climate model evaluation to the next level","volume":"9","author":"Eyring","year":"2019","journal-title":"Nat. Clim. Change"},{"key":"ref_23","first-page":"981","article-title":"Assessment of the deviation of China precipitation projected by CMIP5 models for 2006\u20132013","volume":"40","author":"Zhang","year":"2016","journal-title":"Chin. J. Atmos. Sci."},{"key":"ref_24","first-page":"53","article-title":"Future precipitation change in the Belt and Road Region under representative concentration Pathway Scenarios","volume":"37","author":"Huang","year":"2020","journal-title":"J. Yangtze River Sci. Res. Inst."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1038\/s41558-021-01074-x","article-title":"Climate change decisive for Asia\u2019s snow meltwater supply","volume":"11","author":"Kraaijenbrink","year":"2021","journal-title":"Nat. Clim. Change"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"3994","DOI":"10.1002\/joc.7055","article-title":"Assessment of GCMs simulation performance for precipitation and temperature from CMIP5 to CMIP6 over the Tibetan Plateau","volume":"41","author":"Lun","year":"2021","journal-title":"Int. J. Clim."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"e2021JD034841","DOI":"10.1029\/2021JD034841","article-title":"Active Layer thickness variation on the Qinghai-Tibetan Plateau: Historical and projected trends","volume":"126","author":"Xu","year":"2021","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1016\/j.accre.2021.08.009","article-title":"Data-driven spatiotemporal projections of shallow permafrost based on CMIP6 across the Qinghai\u2013Tibet Plateau at 1 km2 scale","volume":"12","author":"Yin","year":"2021","journal-title":"Adv. Clim. Change Res."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1038\/s41558-020-00974-8","article-title":"Atmospheric dynamic constraints on Tibetan Plateau freshwater under Paris climate targets","volume":"11","author":"Wang","year":"2021","journal-title":"Nat. Clim. Change"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1175\/JCLI-D-10-05024.1","article-title":"A Statistical adjustment of regional climate model outputs to local scales: Application to Platja de Palma, Spain","volume":"25","author":"Amengual","year":"2012","journal-title":"J. Clim."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"F01003","DOI":"10.1029\/2011JF002064","article-title":"Controls on mass balance sensitivity of maritime glaciers in the Southern Alps, New Zealand: The role of debris cover","volume":"117","author":"Anderson","year":"2012","journal-title":"J. Geophys. Res."},{"key":"ref_32","unstructured":"Yang, K., He, J., Tang, W., Lu, H., Qin, J., Chen, Y., and Li, X. (2019). China meteorological forcing dataset (1979\u20132018). Big Earth Data Platf. Three Poles."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/s41597-020-0369-y","article-title":"The first high-resolution meteorological forcing dataset for land process studies over China","volume":"7","author":"He","year":"2020","journal-title":"Sci. Data"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.agrformet.2009.08.004","article-title":"On downward shortwave and longwave radiations over high altitude regions: Observation and modeling in the Tibetan Plateau","volume":"150","author":"Yang","year":"2010","journal-title":"Agric. For. Meteorol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/2\/375\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:48:54Z","timestamp":1760104134000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/2\/375"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,17]]},"references-count":35,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024,1]]}},"alternative-id":["rs16020375"],"URL":"https:\/\/doi.org\/10.3390\/rs16020375","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,17]]}}}