Abstract
Alpine snow is an important part of the water cycle in arid/semiarid regions and has a great influence on runoff and ecosystems. In this study, both optical and passive microwave remote sensing data were used to characterize the vertical distribution of snow cover area (SCA) and snow water equivalent (SWE) on the north slope of Central Tianshan Mountain, northwest China, focusing on exploring the different spatial–temporal characteristics between SCA and SWE, as well as their different responses to climatic factors at different altitudes. The results show that (1) the SCA and SWE have similar vertical distribution characteristics but show different changing rates and changing directions over time at different altitudes. (2) In the snow accumulation period and snowmelt period, the correlation relationships between precipitation/temperature and SCA are the same (positive or negative) as those between precipitation/temperature and SWE at low-middle altitudes but opposite at high altitudes. (3) The influence of precipitation/temperature on SWE has a linear relationship with altitude but not with SCA. (4) The relative importance of precipitation/temperature for SCA is the same as that for SWE at different altitudes. The results illustrated the different vertical responses to climatic factors between SCA and SWE, which could be beneficial to predicting the changes in mountain snow under the climate change scenario.
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Data availability
All the data used in this text can be obtained from the Internet, and the websites are as follows: (MOD10A2) https://ladsweb.modaps.eosdis.nasa.gov/; (SWE) http://www.sciencedb.cn/dataSet/handle/660; (MOD11A2)https://ladsweb.modaps.eosdis.nasa.gov/; (CHIRPS) http://chg.geog.ucsb.edu/data/chirps/; and (DEM)http://www.dsac.cn/DataProduct/Detail/20082039.
Code availability
The analytical scripts are available from the lead author upon request.
References
Barnett TP, Dümenil L, Schlese U, Roeckner E, Latif M (1989) The effect of Eurasian snow cover on regional and global climate variations. J Atmos Sci 46:661–686
Barry RG (2008) Mountain, weather and climate. Routledge, London
Beniston M (2012) Is snow in the Alps receding or disappearing? Wires Clim Change 3:349–358. https://doi.org/10.1002/wcc.179
Bi Y, Xie H, Huang C, Ke C (2015) Snow cover variations and controlling factors at Upper Heihe River Basin, northwestern China. Remote Sens 7:6741–6762. https://doi.org/10.3390/rs70606741
Bosilovich MG (2006) A comparison of MODIS land surface temperature with in situ observations. Geophys Res Lett 33:L20112. https://doi.org/10.1029/2006GL027519
Brown RD, Robinson DA (2011) Northern Hemisphere spring snow cover variability and change over 1922–2010 including an assessment of uncertainty. Cryosphere 5:219–229
Cayan DR (1996) Interannual climate variability and snowpack in the western United States. J Clim 9:928–948. https://doi.org/10.1175/1520-0442(1996)009%3c0928:ICVASI%3e2.0.CO;2
Coll C, Wan Z, Galve JM (2009) Temperature-based and radiance-based validations of the V5 MODIS land surface temperature product. J Geophys Res- Atmos 114:D20102. https://doi.org/10.1029/2009JD012038
Duan Z, Liu JZ, Tuo Y, Chiogna G, Disse M (2016) Evaluation of eight high spatial resolution gridded precipitation products in Adige Basin (Italy) at multiple temporal and spatial scales. Sci Total Environ 573:1536–1553. https://doi.org/10.1016/j.scitotenv.2016.08.213
Duan Z, Tuo Y, Liu J, Gao H, Song X, Zhang Z, Yang L, Mekonnen D (2019) Hydrological evaluation of open-access precipitation and air temperature datasets using SWAT in a poorly gauged basin in Ethiopia. J Hydrol 569:612–626. https://doi.org/10.1016/j.jhydrol.2018.12.026
Feng X, Xiao P, Zhang X, Du J, Xie S (2018) Remote sensing of snow in the Central Tianshan Mountains. Science Press, BeiJing (In Chinese)
Funk C, Peterson P, Landsfeld M, Pedreros D, Verdin J, Shukla S, Husak G, Rowland J, Harrison L, Hoell A, Michaelsen J (2015) The climate hazards infrared precipitation with stations – a new environmental record for monitoring extremes. Scientific Data 2, accessed 08 December 2005. https://doi.org/10.1038/sdata.2015.66
Gong G, Entekhabi D, Cohen J (2003) Modeled Northern Hemisphere winter climate response to realistic Siberian snow Anomalies. J Clim 16:3917–3931. https://doi.org/10.1175/1520-0442(2003)016%3c3917:MNHWCR%3e2.0.CO;2
Groisman P, Karl TR, Knight RW (1994) Observed impact of snow cover on the heat balance and the rise of continental spring temperatures. Nature 263:198–200. https://doi.org/10.1126/science.263.5144.198
Gutzler DS, Rosen RD (1992) Interannual variability of wintertime snow cover across the Northern-Hemisphere. J Clim 5:1441–1447
Guyennon N, Valt M, Salerno F, Petrangeli AB, Romano E (2019) Estimating the snow water equivalent from snow depth measurements in the Italian Alps. Cold Reg Sci Technol 167:102859. https://doi.org/10.1016/j.coldregions.2019.102859
Haeberli W, Beniston M (1998) Climate change and its impacts on glaciers and permafrost in the Alps. Ambio 27:258–265
Hall DK, Riggs GA (2007) Accuracy assessment of the MODIS snow cover products. Hydrol Process 21:1534–1547. https://doi.org/10.1002/hyp.6715
Hamlet AF, Mote PW, Clark MP, Lettenmaier DP (2005) Effects of temperature and precipitation variability on snowpack trends in the western United States. J Clim 18:4545–4561. https://doi.org/10.1175/JCLI3538.1
Hammond JC, Saavedra FA, Kampf SK (2018) Global snow zone maps and trends in snow persistence 2001–2016. Int J Climatol 38:4369–4383. https://doi.org/10.1002/joc.5674
Hantel M, Ehrendorfer M, Haslinger A (2000) Climate sensitivity of snow cover duration in Austria. Int J Climatol 20:615–640. https://doi.org/10.1002/(SICI)1097-0088(200005)
Hu R (2004) Physical geography of Tianshan Mountains in China. China Environmental Science Press, Beijing (In Chinese)
Huang X, Liang T, Zhang X, Guo Z (2011) Validation of MODIS snow cover products using Landsat and ground measurements during the 2001–2005 snow seasons over northern Xinjiang, China. Int J Remote Sens 32:133–152. https://doi.org/10.1080/01431160903439924
IPCC (2021) Climate Change 2021–: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
Liang T, Huang X, Wu C, Liu X, Li W, Guo Z, Ren J (2008) An application of MODIS data to snow cover monitoring in a pastoral area: a case study in northern Xinjiang, China. Remote Sens Environ 112:1514–1526. https://doi.org/10.1016/j.rse.2007.06.001
Liu Y, Lu X, Zhang L, Yang L, Zhang J (2021) Quantifying rain, snow and glacier meltwater in river discharge during flood events in the Manas River Basin. China Nat Hazards 108(1):1137–1158. https://doi.org/10.1007/s11069-021-04723-8
Marchane A, Jarlan L, Hanich L, Boudhar A, Gascoin S, Tavernier A, Filali N, Lepage M, Hagolle O, Berjamy B (2015) Assessment of daily MODIS snow cover products to monitor snow cover dynamics over the Moroccan Atlas mountain range. Remote Sens Environ 160:72–86. https://doi.org/10.1016/j.rse.2015.01.002
Marty C (2008) Regime shift of snow days in Switzerland. Geophys Res Lett 35:L12501. https://doi.org/10.1029/2008GL033998
Morán-Tejeda E, López-Moreno JI, Beniston M (2013) The changing roles of temperature and precipitation on snowpack variability in Switzerland as a function of altitude. Geophys Res Lett 40:2131–2136. https://doi.org/10.1002/grl.50463
Mote PW (2006) Climate-driven variability and trends in mountain snowpack in western North America. J Clim 19:6209–6220. https://doi.org/10.1175/JCLI3971.1
Mott R, Scipion D, Schneebeli M, Dawes N, Berne A, Lehning M (2014) Orographic effects on snow deposition patterns in mountainous terrain. J Geophys Res Atmos 119:1419–1439. https://doi.org/10.1002/2013JD019880
Qiu Y, Lu J, Shi L, Xie P, Liang W, Wang X (2018) Passive microwave remote sensing data of snow water equivalent in High Asia. Science Data Bank, access 9 October 2018. https://doi.org/10.11922/sciencedb.660 (In Chinese)
Scalzitti J, Strong C, Kochanski A (2016) Climate change impact on the roles of temperature and precipitation in western U.S. snowpack variability. Geophys Res Lett 43:5361–5369. https://doi.org/10.1002/2016GL068798
Shao D, Li H, Wang J, Pan X, Hao X (2017) Distinguishing the role of wind in snow distribution by utilizing remote sensing and modeling data: case study in the northeastern Tibetan Plateau. IEEE J-STARS 10:4445–4456. https://doi.org/10.1109/jstars.2017.2716388
Sicart JE, Pomeroy JW, Essery RLH, Bewley D (2006) Incoming longwave radiation to melting snow: observations, sensitivity and estimation in northern environments. Hydrol Process 20:3697–3708. https://doi.org/10.1002/hyp.6383
Sospedra-Alfonso R, Merryfield W (2017) Influences of temperature and precipitation on historical and future snowpack variability over the Northern Hemisphere in the second generation Canadian Earth System Model. J Clim 30:4633–4656. https://doi.org/10.1175/JCLI-D-16-0612.1
Sospedra-Alfonso R, Melton JR, Merryfield WJ (2015) Effects of temperature and precipitation on snowpack variability in the Central Rocky Mountains as a function of elevation. Geophys Res Lett 42:4429–4438. https://doi.org/10.1002/2015GL063898
Tang Z, Wang J, Li H, Yan L (2013) Spatiotemporal changes of snow cover over the Tibetan Plateau based on cloud-removed moderate resolution imaging spectroradiometer fractional snow cover product from 2001 to 2011. J Appl Remote Sens 7:073582. https://doi.org/10.1117/1.JRS.7.073582
Wang Z, Bai Z, Chen Y (1982) A study on the movement of snow drift in Tianshan and its control. Acta Geogr Sin 1:51–64. https://doi.org/10.11821/xb198201007
Wu S, Zhang X, Du J, Zhou X, Tuo Y, Li R, Duan Z (2019) The vertical influence of temperature and precipitation on snow cover variability in the Central Tianshan Mountains, northwest China. Hydrol Process 33:1686–1697. https://doi.org/10.1002/hyp.13431
Xiao L, Che T (2015) Preliminary study on snow feedback to the climate system in the Tibetan Plateau. Remot Sens Technol Appl 30:1066–1075. https://doi.org/10.11873/j.issn.1004-0323.2015.6.1066
Yang M, Wang X, Pang G, Wan G, Liu Z (2019) The Tibetan Plateau cryosphere: observations and model simulations for current status and recent changes. Earth-Sci Rev 190:353–369. https://doi.org/10.1016/j.earscirev.2018.12.018
You Q, Wu T, Shen L, Pepin N, Zhang L, Jiang Z, Wu Z, Kang S (2020) Aghakouchak A (2019) Review of snow cover variation over the Tibetan Plateau and its influence on the broad climate system. Earth-Sci Rev 201:103043. https://doi.org/10.1016/j.earscirev.2019.103043
Zhang W, Wang X, Shen Y, Yang X, Wu Y, Chen A, Wu X, Liu S, Yang Y, Zhang J, Li C (2021) Cryospheric water regime by its functions and services in China. Adv Clim Change Res 12(3):430–443. https://doi.org/10.1016/j.accre.2021.05.008
Zhao J, Chen J, Wu Q, Li J, Hou X (2018) Variation characteristic of snow cover in the Shenglidaban area, Tianshan Mountains, China. J Mount Sci 34:98–106. https://doi.org/10.16089/j.cnki.1008-2786.000305
Zheng P, Deng Z, Guan H, Zhang F (2014) Spatial and temporal variation characteristics of snow based on TM and ETM+ data in Manas River Basin. J Meteor Sci 34:39–46. https://doi.org/10.3969/2012jms.0177
Zheng W, Du J, Zhou X, Song M, Bian G, Xie S, Feng X (2017) Vertical distribution of snow cover and its relation to temperature over the Manasi River Basin of Tianshan Mountains, northwest China. J Geogr Sci 27:403–419. https://doi.org/10.1007/s11442-017-1384-6
Zhou X, Xie H, Hendrickx JMH (2005) Statistical evaluation of remotely sensed snow-cover products with constraints from streamflow and SNOTEL measurements. Remote Sens Environ 94:214–231. https://doi.org/10.1016/j.rse.2004.10.007
Acknowledgements
This study is supported by the Special Subject of National Science and Technology Basic Resources Investigation (Grant No. 2017FY100503), the National Natural Science Foundation of China (Grant No. 42171307), and the High-level Innovation and Entrepreneurship Talents Introduction Program of Jiangsu Province of China. The authors sincerely appreciate the data providers of MOD10A2, MOD11A2, Blended-HMA-SWE, CHIRPS, and SRTM DEM.
Funding
This study is supported by the Special Subject of National Science and Technology Basic Resources Investigation (Grant No. 2017FY100503), the National Natural Science Foundation of China (Grant No. 42171307), and the High-level Innovation and Entrepreneurship Talents Introduction Program of Jiangsu Province of China.
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XZ and JD designed the experiments, and SW performed all computations. SW and XZ designed the figures and wrote the manuscript. HW prepared the manuscript with contributions from all coauthors. All authors commented on the manuscript.
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Wu, S., Zhang, X., Du, J. et al. Evaluating the different responses to climatic factors between snow water equivalent and snow cover area in the Central Tianshan Mountains. Theor Appl Climatol 148, 1563–1576 (2022). https://doi.org/10.1007/s00704-022-04009-4
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DOI: https://doi.org/10.1007/s00704-022-04009-4