Articles | Volume 28, issue 1
https://doi.org/10.5194/hess-28-163-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-163-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaporation and sublimation measurement and modeling of an alpine saline lake influenced by freeze–thaw on the Qinghai–Tibet Plateau
Fangzhong Shi
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Research and Development Center for Watershed Environmental Eco-Engineering, Beijing Normal University, Zhuhai 519085, China
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Ministry of Education, Qinghai Normal University, Xining, China
Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining, China
Shaojie Zhao
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Yujun Ma
School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
Junqi Wei
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Qiwen Liao
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Deliang Chen
Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
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Glaciers of the Tibetan Plateau (TP) have experienced widespread retreat in recent decades, but impacts of glacier changes that have occurred on regional climate, including precipitation, is still unknown. Thus, this study addressed this knowledge gap, and found that glacier changes exert a more pronounced impact on summer extreme precipitation events than mean precipitation over the TP. This provides a certain theoretical reference for the further improvement of long-term glacier projection.
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Based on field research campaigns since 2017 in the Yarlung Zangbo (YZ) river basin and a well-validated model, our results reveal that large regional differences in runoff regimes and changes exist in the basin. Annual runoff shows decreasing trend in the downstream sub-basin but increasing trends in the upper and middle sub-basins, due to opposing precipitation changes. Glacier runoff plays more important role in annual total runoff in downstream basin.
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To fill the key gap of short availability and inhomogeneity of wind speed (WS) in Sweden, we rescued the early paper records of WS since 1925 and built the first 10-member centennial homogenized WS dataset (HomogWS-se) for community use. An initial WS stilling and recovery before the 1990s was observed, and a strong link with North Atlantic Oscillation was found. HomogWS-se improves our knowledge of uncertainty and causes of historical WS changes.
Junqi Wei, Xiaoyan Li, Lei Liu, Torben Røjle Christensen, Zhiyun Jiang, Yujun Ma, Xiuchen Wu, Hongyun Yao, and Efrén López-Blanco
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Although water availability has been linked to the response of ecosystem carbon (C) sink–source to climate warming, the mechanisms by which C uptake responds to soil moisture remain unclear. We explored how soil water and other environmental drivers modulate net C uptake in an alpine swamp meadow. Results reveal that nearly saturated soil conditions during warm seasons can help to maintain lower ecosystem respiration and therefore enhance the C sequestration capacity in this alpine swamp meadow.
Xiangde Xu, Chan Sun, Deliang Chen, Tianliang Zhao, Jianjun Xu, Shengjun Zhang, Juan Li, Bin Chen, Yang Zhao, Hongxiong Xu, Lili Dong, Xiaoyun Sun, and Yan Zhu
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A vertical transport window of tropospheric vapor exists on the Tibetan Plateau (TP). The TP's thermal forcing drives the vertical transport
windowof vapor in the troposphere. The effects of the TP's vertical transport window of vapor are of importance in global climate change.
Cited articles
Abdelrady, A. R.: Evaporation over fresh and saline water using SEBS, MS thesis, Faculty of Geo-Information Science and Earth Observation, University of Twente, Twente, 1–54, https://webapps.itc.utwente.nl/librarywww/papers_2013/msc/wrem/abdelrady.pdf (last access: 6 January 2024), 2013.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration – Guidelines for computing crop water requirements, FAO Irrigation and drainage paper 56, FAO, Rome, 1–286, https://www.researchgate.net/publication/235704197 (last access: 6 January 2024), 1998.
Badawy, S. M.: Laboratory freezing desalination of seawater, Desalin. Water. Treat., 57, 11040–11047, https://doi.org/10.1080/19443994.2015.1041163, 2016.
Blanken, P. D., Den Hartog, G., Staebler, R. F., Chen, W. J., and Novak, M.: Turbulent flux measurements above and below the overstory of a boreal aspen forest, Bound.-Lay. Meteorol., 89, 109–140, https://doi.org/10.1023/A:1001557022310, 1998.
Blanken, P. D., Rouse, W. R., Culf, A. D., Spence, C., Boudreau, L. D., Jasper, J. N., Kochtubajda, B., Schertzer, W. M., Marsh, P., and Verseghy, D.: Eddy covariance measurements of evaporation from Great Slave lake, Northwest Territories, Canada, Water. Resour. Res., 36, 1069–1077, https://doi.org/10.1029/1999WR900338, 2000.
Blanken, P. D., Spence, C., Hedstrom, N., and Lenters, J. D.: Evaporation from Lake Superior: 1. Physical controls and processes, J. Great Lakes Res., 37, 707–716, https://doi.org/10.1016/j.jglr.2011.08.009, 2011.
Bowen, I. S.: The ratio of heat losses by conduction and by evaporation from any water surface, Phys. Rev., 27, 779–787, https://doi.org/10.1103/PhysRev.27.779, 1926.
Cai, Y., Ke, C. Q., Li, X., Zhang, G., Duan, Z., and Lee, H.: Variations of lake ice phenology on the Tibetan Plateau from 2001 to 2017 based on MODIS data, J. Geophys. Res.-Atmos., 124, 825–843, https://doi.org/10.1029/2018JD028993, 2019.
Christner, E., Kohler, M., and Schneider, M.: The influence of snow sublimation and meltwater evaporation on δD of water vapor in the atmospheric boundary layer of central Europe, Atmos. Chem. Phys., 17, 1207–1225, https://doi.org/10.5194/acp-17-1207-2017, 2017.
Dalton, J.: Experimental essays on the constitution of mixed gases; on the force of stream or vapor from water and other liquids, both in a Torricellian vacuum and in air; on evaporation; and on the expansion of gases by heat, Proceedings of Manchester Literary and Philosophica Society, 5, 536–602, 1802.
Desai, S. and Ouarda, T. B. M. J.: Regional hydrological frequency analysis at ungauged sites with random, J. Hydrol., 594, 125861, https://doi.org/10.1016/j.jhydrol.2020.125861, 2021.
Dong, H., Feng, Z., Yang, Y., Li, P., and You, Z.: Sustainability assessment of critical natural capital: a case study of water resources in Qinghai Province, China, J. Clean. Product., 286, 125532, https://doi.org/10.1016/j.jclepro.2020.125532, 2021.
Falge, E., Baldocchi, D., Olson, R., Anthoni, P., Aubinet, M., Bernhofer, C., Burba, G., Ceulemans, R., Clement, R., Dolman, H., Granier, A., Gross, P., Grünwald, P., Hollinger, D., Jensen, N. O., Katul, G. G., Keronen, P., Kowalski, A., Lai, C. T., Law, B. E., Meyers, T., Moncrieff, J., Moors, E., Munger, J. W., Pilegaard, K., Rannik, U., Rebmann, C., Suyker, A. E., Tenhunen, J., Tu, K., Verma, S., Vesala, T., Wilson, K., and Wofsy, S. C.: Gap filling strategies for defensible annual sums of net ecosystem exchange, Agr. Forest Meteorol., 107, 43–69, https://doi.org/10.1016/S0168-1923(00)00225-2, 2001.
Finch, J. and Calver, A.: Methods for the quantification of evaporation from lakes, Prepared for the World Meteorological Organization's Commission for Hydrology, CEH Wallingford, Oxfordshire, UK, 1–41, https://core.ac.uk/download/pdf/384799.pdf (last access: 6 January 2024), 2008.
Froyland, H. K.: Snow loss on the San Francisco peaks: Effects of an elevation gradient on evapo-sublimation, Doctoral dissertation, Northern Arizona University, https://nau.edu/wp-content/uploads/sites/128/Hugo-Froyland-Thesis-2013.pdf (last access: 6 January 2024), 2013.
Froyland, H. K., Untersteiner, N., Town, M. S., and Warren, S. G.: Evaporation from Arctic sea ice in summer during the International Geophysical Year, 1957–1958, J. Geophys. Res.-Atmos., 115, D15104, https://doi.org/10.1029/2009JD012769, 2010.
Gross, M.: The world's vanishing lakes, Curr. Biol., 27, 43–46, https://doi.org/10.1029/2009JD012769, 2017.
Guo, Y., Zhang, Y., Ma, N., Song, H., and Gao, H.: Quantifying surface energy fluxes and evaporation over a significant expanding endorheic lake in the central Tibetan Plateau, J. Meteorol. Soc. Jpn. Ser. II, 94, 453–465, https://doi.org/10.2151/jmsj.2016-023, 2016.
Guo, Y., Zhang, Y., Ma, N., Xu, J., and Zhang, T.: Long-term changes in evaporation over Siling Co Lake on the Tibetan Plateau and its impact on recent rapid lake expansion, Atmos. Res., 216, 141–150, https://doi.org/10.1016/j.atmosres.2018.10.006, 2019.
Hamdani, I., Assouline, S., Tanny, J., Lensky, I. M., Gertman, I., Mor, Z., and Lensky, N. G.: Seasonal and diurnal evaporation from a deep hypersaline lake: The Dead Sea as a case study, J. Hydrol., 562, 155–167, https://doi.org/10.1016/j.jhydrol.2018.04.057, 2018.
Han, W. X., Huang, C. L., Gu, J., Hou, J. L., and Zhang, Y.: Spatial-Temporal Distribution of the Freeze-Thaw Cycle of the Largest Lake (Qinghai Lake) in China Based on Machine Learning and MODIS from 2000 to 2020, Remote. Sens., 13, 1695, https://doi.org/10.3390/rs13091695, 2021.
Harbeck, G. E. Kohler, M. A., and Koberg, G. E.: Water-loss investigations: Lake Mead studies, edited by: Nolan, T. B., United States Government Printing Office, Washington, https://doi.org/10.3133/pp298, 1958.
Herrero, J. and Polo, M. J.: Evaposublimation from the snow in the Mediterranean mountains of Sierra Nevada (Spain), The Cryosphere, 10, 2981–2998, https://doi.org/10.5194/tc-10-2981-2016, 2016.
Houk, I. E.: Evaporation on United States Reclamation Projects, Trans. Am. Soc. Civil Eng., 90, 340–343, https://doi.org/10.1061/TACEAT.0003691, 1927.
Huang, L., Liu, J., Shao, Q., and Liu, R.: Changing inland lakes responding to climate warming in Northeastern Tibetan Plateau, Climatic Change, 109, 479–502, https://doi.org/10.1007/s10584-011-0032-x, 2011.
Huang, W., Li, R., Han, H., Niu, F., Wu, Q., and Wang, W.: Ice processes and surface ablation in a shallow thermokarst lake in the central Qinghai–Tibetan Plateau, Ann. Glaciol., 57, 20–28, https://doi.org/10.3189/2016AoG71A016, 2016.
Jambon-Puillet, E., Shahidzadeh, N., and Bonn, D.: Singular sublimation of ice and snow crystals, Nat. Commun., 9, 1–6, https://doi.org/10.1038/s41467-018-06689-x, 2018.
Jin, Z. D., An, Z. S., Yu, J. M., Li, F. C., and Zhang, F.: Lake Qinghai sediment geochemistry linked to hydroclimate variability since the last glacial, Quaternary. Sci. Rev., 122, 63–73, https://doi.org/10.1016/j.quascirev.2015.05.015, 2015.
Kuang, X. and Jiao, J. J.: Review on climate change on the Tibetan Plateau during the last half century, J. Geophys. Res.-Atmos., 121, 3979–4007, https://doi.org/10.1002/2015JD024728, 2016.
Lensky, N. G., Lensky, I. M., Peretz, A., Gertman, I., Tanny, J., and Assouline, S.: Diurnal Course of evaporation from the dead sea in summer: A distinct double peak induced by solar radiation and night sea breeze, Water Resour. Res., 54, 150–160, https://doi.org/10.1002/2017WR021536, 2018.
Li, B., Zhang, J., Yu, Z., Liang, Z., Chen, L., and Acharya, K.: Climate change driven water budget dynamics of a Tibetan inland lake, Global Planet. Change, 150, 70–80, https://doi.org/10.1016/j.gloplacha.2017.02.003, 2017.
Li, X. Y., Ma, Y. J., Huang, Y. M., Hu, X., Wu, X. C., Wang, P., Li, G. Y., Zhang, S. Y., Wu, H. W., Jiang, Z. Y., Cui, B. L., and Liu, L.: Evaporation and surface energy budget over the largest high-altitude saline lake on the Qinghai-Tibet Plateau, J. Geophys. Res.-Atmos., 121, 10–470, https://doi.org/10.1002/2016JD025027, 2016.
Li, X. Y., Shi, F. Z., Ma, Y. J., Zhao, S. J., and Wei, J. Q.: Significant winter CO2 uptake by saline lakes on the Qinghai–Tibet Plateau, Global Change Biol., 28, 2041–2052, https://doi.org/10.1111/gcb.16054, 2022.
Li, Z., Lyu, S., Ao, Y., Wen, L., Zhao, L., and Wang, S.: Long-term energy flux and radiation balance observations over lake Ngoring, Tibetan Plateau, Atmos. Res., 155, 13–25, https://doi.org/10.1016/j.atmosres.2014.11.019, 2015.
Lin, Y., Cai, T., and Ju, C.: Snow evaporation characteristics related to melting period in a forested permafrost region, Environ. Eng. Manage. J., 19, 531–542, https://doi.org/10.30638/eemj.2020.051, 2020.
Liu, C., Zhu, L. P., Wang, J. B., Ju, J. T., Ma, Q. F., Qiao, B. J., Wang, Y., Xu, T., Hao, C., Kou, Q. Q., Zhang, R., and Kai, J. L.: In-situ water quality investigation of the lakes on the Tibetan Plateau, Sci. Bull., 66, 1727–1730, https://doi.org/10.1016/j.scib.2021.04.024, 2021.
Liu, H., Feng, J., Sun, J., Wang, L., and Xu, A.: Eddy covariance measurements of water vapor and CO2 fluxes above the Erhai Lake, Sci. China Earth Sci., 58, 317–328, https://doi.org/10.1007/s11430-014-4828-1, 2015.
Ma, N., Szilagyi, J., Niu, G. Y., Zhang, Y., Zhang, T., Wang, B., and Wu, Y.: Evaporation variability of Nam Co Lake in the Tibetan Plateau and its role in recent rapid lake expansion, J. Hydrol., 537, 27–35, https://doi.org/10.1016/j.jhydrol.2016.03.030, 2016.
Messager, M. L., Lehner, B., Grill, G., Nedeva, I., and Schmitt, O.: Estimating the volume and age of water stored in global lakes using a geo-statistical approach, Nat. Commun., 7, 13603, https://doi.org/10.1038/ncomms13603, 2016.
Metzger, J., Nied, M., Corsmeier, U., Kleffmann, J., and Kottmeier, C.: Dead Sea evaporation by eddy covariance measurements vs. aerodynamic, energy budget, Priestley–Taylor, and Penman estimates, Hydrol. Earth Syst. Sci., 22, 1135–1155, https://doi.org/10.5194/hess-22-1135-2018, 2018.
Mohammed, I. N. and Tarboton, D. G.: An examination of the sensitivity of the Great Salt Lake to changes in inputs, Water. Resour. Res., 48, W11511, https://doi.org/10.1029/2012wr011908, 2012.
Mor, Z., Assouline, S., Tanny, J., Lensky, I. M., and Lensky, N. G.: Effect of water surface salinity on evaporation: The case of a diluted buoyant plume over the Dead Sea, Water. Resour. Res., 54, 1460–1475, https://doi.org/10.1002/2017WR021995, 2018.
Muñoz Sabater, J.: ERA5-Land hourly data from 1950 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.e2161bac, 2019.
Nordbo, A., Launiainen, S., Mammarella, I., Leppäranta, M., Huotari, J., Ojala, A., and Vesala, T.: Long-term energy flux measurements and energy balance over a small boreal lake using eddy covariance technique, J. Geophys. Res.-Atmos., 116, D02119, https://doi.org/10.1029/2010JD014542, 2011.
Obianyo, J. I.: Effect of Salinity on Evaporation and the Water Cycle, Emerg. Sci. J., 3, 256–262, https://doi.org/10.28991/esj-2019-01188, 2019.
Penman, H. L.: Natural evaporation from open water, bare soil and grass, P. Roy. Soc. A, 193, 120–145, https://doi.org/10.1098/rspa.1948.0037, 1948.
Persson, P. O. G., Fairall, C. W., Andreas, E. L., Guest, P. S., and Perovich, D. K.: Measurements near the Atmospheric Surface Flux Group tower at SHEBA: Near-surface conditions and surface energy budget, J. Geophys. Res.-Oceans, 107, 8045, https://doi.org/10.1029/2000JC000705, 2002.
Pour, H. K., Duguay, C. R., Scott, K. A., and Kang, K. K.: Improvement of lake ice thickness retrieval from MODIS satellite data using a thermodynamic model, IEEE T. Geosci. Remote, 55, 5956–5965, https://doi.org/10.1109/TGRS.2017.2718533, 2017.
Qiu, Y., Xie, P., Leppäranta, M., Wang, X., Lemmetyinen, J., Lin, H., and Shi, L.: MODIS-based daily lake ice extent and coverage dataset for Tibetan Plateau, Big Earth Data, 3, 170–185, https://doi.org/10.1080/20964471.2019.1631729, 2019.
Qiu, Y.: River lake ice phenology data in QPT V1.0 (2002–2018), National Tibetan Plateau/Third Pole Environment Data Center [data set], https://doi.org/10.11888/Meteoro.tpdc.270236, 2019.
Roderick, M. L. and Farquhar, G. D.: The cause of decreased pan evaporation over the past 50 years, Science, 298, 1410–1411, https://doi.org/10.1126/science.1075390-a, 2022.
Salhotra, A. M., Adams, E. E., and Harleman, D. R.: Effect of Salinity and Ionic Composition on Evaporation: Analysis of Dead Sea Evaporation Pans, Water. Resour. Res., 21, 1336–1344, https://doi.org/10.1029/WR021i009p01336, 1985.
Salhotra, A. M., Adams, E. E., and Harleman, D. R.: The alpha, beta, gamma of evaporation from saline water bodies, Water. Resour. Res., 23, 1769–1774, https://doi.org/10.1029/WR023i009p01769, 1987.
Shi, F. Z.: Clocks-Shi/Code-for-hess-2023-100: Evaporation and sublimation measurement and modeling of an alpine saline lake influenced by freeze–thaw on the Qinghai–Tibet Plateau, Zenodo [code], https://doi.org/10.5281/zenodo.10464766, 2024.
Sow, A., Traore, I., Diallo, T., Traore, M., and Ba, A.: Comparison of Gaussian process regression, partial least squares, random forest and support vector machines for a near infrared calibration of paracetamol samples, Results Chem., 4, 100508, https://doi.org/10.1016/j.rechem.2022.100508, 2022.
Stepanenko, V. M., Repina, I. A., Ganbat, G., and Davaa, G.: Numerical simulation of ice cover of saline lakes, Izvestiya, IZV Atmos. Ocean. Phys., 55, 129–138, https://doi.org/10.31857/S0002-3515551152-163, 2019.
Su, D. S., Hu, X. Q., Wen, L. J., Lyu, S. H., Gao, X. Q., Zhao, L., Li, Z. G., Du, J., and Kirillin, G.: Numerical study on the response of the largest lake in China to climate change, Hydrol. Earth Syst. Sci., 23, 2093–2109, https://doi.org/10.5194/hess-23-2093-2019, 2019.
Tang, L. Y., Duan, X. F., Kong, F. J., Zhang, F., Zheng, Y. F., Li, Z., Mei, Y., Zhao, Y. W., and Hu, S. J.: Influences of climate change on area variation of Qinghai Lake on Qinghai–Tibetan Plateau since 1980s, Sci. Rep., 8, 7331–7338, https://doi.org/10.1038/s41598-018-25683-3, 2018.
Tian, W., Liu, X., Wang, K., Bai, P., and Liu, C.: Estimation of reservoir evaporation losses for China, J. Hydrol., 596, 126142, https://doi.org/10.1016/j.jhydrol.2021.126142, 2021.
Vercauteren, N., Bou-Zeid, E., Huwald, H., Parlange, M. B., and Brutsaert, W.: Estimation of wet surface evaporation from sensible heat flux measurements, Water. Resour. Res., 45, W06424, https://doi.org/10.1029/2008WR007544, 2009.
Wan, W., Zhao, L., Xie, H., Liu, B., Li, H., Cui, Y., Ma, Y., and Hong, Y.: Lake surface water temperature change over the Tibetan plateau from 2001 to 2015: A sensitive indicator of the warming climate, Geophys. Res. Lett., 45, 11177–11186, https://doi.org/10.1029/2018GL078601, 2018.
Wang, B., Ma, Y., Chen, X., Ma, W., Su, Z., and Menenti, M.: Observation and simulation of lake-air heat and water transfer processes in a high-altitude shallow lake on the Tibetan Plateau, J. Geophys. Res.-Atmos., 120, 12327–12344, https://doi.org/10.1002/2015JD023863, 2015.
Wang, B., Ma, Y., Wang, Y., Su, Z., and Ma, W.: Significant differences exist in lake–atmosphere interactions and the evaporation rates of high-elevation small and large lakes, J. Hydrol., 573, 220–234, https://doi.org/10.1016/j.jhydrol.2019.03.066, 2019a.
Wang, B., Ma, Y., Ma, W., Su, B., and Dong, X.: Evaluation of ten methods for estimating evaporation in a small high-elevation lake on the Tibetan Plateau, Theor. Appl. Climatol., 136, 1033–1045, https://doi.org/10.1007/s00704-018-2539-9, 2019b.
Wang, B., Ma, Y., Su, Z., Wang, Y., and Ma, W.: Quantifying the evaporation amounts of 75 high-elevation large dimictic lakes on the Tibetan Plateau, Sci. Adv., 6, eaay8558, https://doi.org/10.1126/sciadv.aay8558, 2020.
Wang, W., Xiao, W., Cao, C., Gao, Z. Q., Hu, Z. H., Liu, S. D., Shen, S. H., Wang, L. L., Xiao, Q. T., Xu, J. P., Yang, D., and Lee, X. H.: Temporal and spatial variations in radiation and energy balance across a large freshwater lake in China, J. Hydrol., 511, 811–824, https://doi.org/10.1016/j.jhydrol.2014.02.012, 2014.
Wang, W., Lee, X., Xiao, W., Liu, S., Schultz, N., Wang, Y., Zhang, M., and Zhao, L.: Global lake evaporation accelerated by changes in surface energy allocation in a warmer climate, Nat. Geosci., 11, 410–414, https://doi.org/10.1038/s41561-018-0114-8, 2018.
Woolway, R. I., Verburg, P., Lenters, J. D., Merchant, C. J., Hamilton, D. P., Brookes, J., De Eyto, E., Kelly, S., Healey, N. C., Hook, S., Laas, A., Pierson, D., Rusak, J. A., Kuha, J., Karjalainen, J. S., Kallio, K., Lepistö, A., and Jones, I. D.: Geographic and temporal variations in turbulent heat loss from lakes: A global analysis across 45 lakes, Limnol. Oceanogr., 63, 2436–2449, https://doi.org/10.1002/lno.10950, 2018.
Woolway, R. I., Kraemer, B. M., Lenters, J. D., Merchant, C. J., O'Reilly, C. M., and Sharma, S.: Global lake responses to climate change, Nat. Rev. Earth Environ., 1, 388–403, https://doi.org/10.1038/s43017-020-0067-5, 2020.
Wu, H. W., Huang, Q., Fu, C. S., Song, F., Liu, J. Z., and Li, J.: Stable isotope signatures of river and lake water from Poyang Lake, China: Implications for river–lake interactions, J. Hydrol., 592, 125619, https://doi.org/10.1016/j.jhydrol.2020.125619, 2021.
Wu, H. W., Song, F., Li, J., Zhou, Y. Q., Zhang, J. M., and Fu, C. S.: Surface water isoscapes (δ18O and δ2H) reveal dual effects of damming and drought on the Yangtze River water cycles, J. Hydrol., 610, 127847, https://doi.org/10.1016/j.jhydrol.2022.127847, 2022.
Wurtsbaugh, W. A., Miller, C., Null, S. E., DeRose, R. J., Wilcock, P., Hahnenberger, M., Howe, F. P., and Moore, J.: Decline of the world's saline lakes, Nat. Geosci., 10, 816–821, https://doi.org/10.1038/ngeo3052, 2017.
Xiao, M. and Cui, Y.: Source of evaporation for the seasonal precipitation in the Pearl River Delta, China, Water. Resour. Res., 57, e2020WR028564, https://doi.org/10.1029/2020WR028564, 2021.
Xie, F., Lu, P., Leppäranta, M., Cheng, B., Li, Z. J., Zhang, Y. W., Zhang, H., and Zhou, J. R.: Heat budget of lake ice during a complete seasonal cycle in lake Hanzhang, northeast China, J. Hydrol., 620, 129461, https://doi.org/10.1016/j.jhydrol.2023.129461, 2023.
Yang, K., Wu, H., Qin, J., Lin, C. G., Tang, W. J., and Chen, Y. Y.: Recent climate changes over the Tibetan Plateau and their impacts on energy and water cycle: A review, Global Planet. Change, 112, 79–91, https://doi.org/10.1016/j.gloplacha.2013.12.001, 2014.
Yang, K., He, J., Tang, W., Lu, H., Qin, J., Chen, Y., and Li, X.: China meteorological forcing dataset (1979–2018), National Tibetan Plateau/Third Pole Environment Data Center [data set], https://doi.org/10.11888/AtmosphericPhysics.tpe.249369.file, 2019.
Yang, K., Hou, J. Z., Wang, J. B., Lei, Y. B., Zhu, L. P., Chen, Y. Y., Wang, M. D., and He, X. G.: A new finding on the prevalence of rapid water warming during lake ice melting on the Tibetan Plateau, Sci. Bull., 66, 2358–2361, https://doi.org/10.1016/j.scib.2021.07.022, 2021.
Zhang, Q. and Liu, H.: Seasonal changes in physical processes controlling evaporation over inland water, J. Geophys. Res.-Atmos., 119, 9779–979, https://doi.org/10.1002/2014JD021797, 2014.
Zhu, L., Yang, K., Wang, J. B., Lei, Y. B., Chen, Y. Y., Zhu, L. P., Ding, B. H., and Qin, J.: Quantifying evaporation and its decadal change for Lake Nam Co, central Tibetan Plateau, J. Geophys. Res.-Atmos., 121, 7578–7591, https://doi.org/10.1002/2015JD024523, 2016.
Short summary
(1) Evaporation under ice-free and sublimation under ice-covered conditions and its influencing factors were first quantified based on 6 years of eddy covariance observations. (2) Night evaporation of Qinghai Lake accounts for more than 40 % of the daily evaporation. (3) Lake ice sublimation reaches 175.22 ± 45.98 mm, accounting for 23 % of the annual evaporation. (4) Wind speed weakening may have resulted in a 7.56 % decrease in lake evaporation during the ice-covered period from 2003 to 2017.
(1) Evaporation under ice-free and sublimation under ice-covered conditions and its influencing...