Abstract
Accurate understanding of snow cover phenology and its changes is important to hydrological processes and climate system. Having recognized the potential uncertainties in remote sensing snow cover products, we used daily snow depth observations from 514 meteorological stations across China to investigate the spatiotemporal variations in snow cover phenology during 1970–2014. Climatologically, the snow cover onset date (Do) and end date (De) as well as the number of snow cover days (Ds) depended on latitude at most stations outside of the Tibetan Plateau (TP). For the high-elevation stations, which were mainly in the TP, multiple snow-free breaks (SFBs) during the cold season made Ds insensitive to Do and De. Furthermore, the number of SFBs (Db) increased significantly with the rise in elevation, explaining why higher altitudes in TP did not necessarily have greater Ds values despite the earlier Do and later De values. From 1970 to 2014, most stations in China exhibited delayed Do and advanced De due mainly to the increased temperature, but such trends were significant at only 10.5% and 15.4% of the stations, respectively. During the same period, shortened Ds primarily occurred south of ~ 40° N, whereas the opposite ones dominated north of ~ 40° N. Most stations (except those in Hexi Corridor) with significant growth in Ds were characterized by delayed Do and advanced De. Such a phenomenon of “increased snow cover days during shortened cold season” was due to the significant shrinkage in Db values. The spatial pattern of the trends in annual total snow depth overall follows that of Ds, suggesting that the Ds, when takes SFBs into consideration, could be an indicator of variations of snow water resources in China. The trends in Do, De and Ds were not elevation dependent in TP.
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References
Aurela M, Laurila T, Tuovinen J-P (2004) The timing of snow melt controls the annual CO2 balance in a subarctic fen. Geophys Res Lett. https://doi.org/10.1029/2004gl020315
Barnett TP, Adam JC, Lettenmaier DP (2005) Potential impacts of a warming climate on water availability in snow-dominated regions. Nature 438:303–309. https://doi.org/10.1038/nature04141
Bian Q, Xu Z, Zhao L, Zhang Y-F, Zheng HUI, Shi C, Zhang S, **e C, Yang Z-L (2019) Evaluation and intercomparison of multiple snow water equivalent products over the Tibetan Plateau. J Hydrometeorol 20:2043–2055. https://doi.org/10.1175/jhm-d-19-0011.1
Biemans H, Siderius C, Lutz AF, Nepal S, Ahmad B, Hassan T, von Bloh W, Wijngaard RR, Wester P, Shrestha AB, Immerzeel WW (2019) Importance of snow and glacier meltwater for agriculture on the Indo-Gangetic Plain. Nat Sustain 2:594–601. https://doi.org/10.1038/s41893-019-0305-3
Blankinship JC, Meadows MW, Lucas RG, Hart SC (2014) Snowmelt timing alters shallow but not deep soil moisture in the Sierra Nevada. Water Resour Res 50:1448–1456. https://doi.org/10.1002/2013wr014541
Brown RD, Robinson DA (2011) Northern Hemisphere spring snow cover variability and change over 1922–2010 including an assessment of uncertainty. The Cryosphere 5:219–229. https://doi.org/10.5194/tc-5-219-2011
Buus-Hinkler J, Hansen BU, Tamstorf MP, Pedersen SB (2006) Snow-vegetation relations in a High Arctic ecosystem: inter-annual variability inferred from new monitoring and modeling concepts. Remote Sens Environ 105:237–247. https://doi.org/10.1016/j.rse.2006.06.016
Cai D, You Q, Fraedrich K, Guan Y (2017) Spatiotemporal temperature variability over the Tibetan Plateau: altitudinal dependence associated with the global warming hiatus. J Clim 30:969–984. https://doi.org/10.1175/jcli-d-16-0343.1
Chen X, Liang S, Cao Y, He T, Wang D (2015) Observed contrast changes in snow cover phenology in northern middle and high latitudes from 2001-2014. Sci Rep 5:16820. https://doi.org/10.1038/srep16820
China Meteorological Administration (2003) Specifications for surface meteorological observations. China Meteorological Press, Bei**g, pp 1–62
Choi G, Robinson DA, Kang S (2010) Changing Northern Hemisphere snow seasons. J Clim 23:5305–5310. https://doi.org/10.1175/2010jcli3644.1
Clark MP, Hendrikx J, Slater AG, Kavetski D, Anderson B, Cullen NJ, Kerr T, Örn Hreinsson E, Woods RA (2011) Representing spatial variability of snow water equivalent in hydrologic and land-surface models: a review. Water Resour Res. https://doi.org/10.1029/2011wr010745
Cohen J, Screen JA, Furtado JC, Barlow M, Whittleston D, Coumou D, Francis J, Dethloff K, Entekhabi D, Overland J, Jones J (2014) Recent Arctic amplification and extreme mid-latitude weather. Nat Geosci 7:627–637. https://doi.org/10.1038/ngeo2234
Cong N, Wang T, Nan H, Ma Y, Wang X, Myneni RB, Piao S (2013) Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: a multimethod analysis. Glob Change Biol 19:881–891. https://doi.org/10.1111/gcb.12077
Currier WR, Lundquist JD (2018) Snow depth variability at the forest edge in multiple climates in the western United States. Water Resour Res 54:8756–8773. https://doi.org/10.1029/2018WR022553
Déry SJ, Brown RD (2007) Recent Northern Hemisphere snow cover extent trends and implications for the snow-albedo feedback. Geophys Res Lett. https://doi.org/10.1029/2007gl031474
Diffenbaugh NS, Scherer M, Ashfaq M (2013) Response of snow-dependent hydrologic extremes to continued global warming. Nat Clim Change 3:379–384. https://doi.org/10.1038/nclimate1732
Dong C (2018) Remote sensing, hydrological modeling and in situ observations in snow cover research: a review. J Hydrol 561:573–583. https://doi.org/10.1016/j.jhydrol.2018.04.027
Dong C, Menzel L (2016) Producing cloud-free MODIS snow cover products with conditional probability interpolation and meteorological data. Remote Sens Environ 186:439–451. https://doi.org/10.1016/j.rse.2016.09.019
Hall DK, Crawford CJ, DiGirolamo NE, Riggs GA, Foster JL (2015) Detection of earlier snowmelt in the Wind River Range, Wyoming, using Landsat imagery, 1972–2013. Remote Sens Environ 162:45–54. https://doi.org/10.1016/j.rse.2015.01.032
Harpold AA, Brooks PD (2018) Humidity determines snowpack ablation under a warming climate. Proc Natl Acad Sci 115:1215–1220. https://doi.org/10.1073/pnas.1716789115
Harpold AA, Molotch NP (2015) Sensitivity of soil water availability to changing snowmelt timing in the western U.S. Geophys Res Lett 42:8011–8020. https://doi.org/10.1002/2015GL065855
Henderson GR, Peings Y, Furtado JC, Kushner PJ (2018) Snow-atmosphere coupling in the Northern Hemisphere. Nat Clim Change 8:954–963. https://doi.org/10.1038/s41558-018-0295-6
Huang X, Deng J, Ma X, Wang Y, Feng Q, Hao X, Liang T (2016) Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China. The Cryosphere 10:2453–2463. https://doi.org/10.5194/tc-10-2453-2016
Jiang Y, Chen F, Gao Y, Barlage M, Li J (2019) Using multisource satellite data to assess recent snow-cover variability and uncertainty in the Qinghai-Tibet Plateau. J Hydrometeorol 20:1293–1306. https://doi.org/10.1175/JHM-D-18-0220.1
Ke C-Q, Li X-C, **e H, Ma D-H, Liu X, Kou C (2016) Variability in snow cover phenology in China from 1952 to 2010. Hydrol Earth Syst Sci 20:755–770. https://doi.org/10.5194/hess-20-755-2016
Kinar NJ, Pomeroy JW (2015) Measurement of the physical properties of the snowpack. Rev Geophys 53:481–544. https://doi.org/10.1002/2015rg000481
Kripalani RH, Kulkarni A (1999) Climatology and variability of historical Soviet snow depth data: some new perspectives in snow-Indian monsoon tele-connections. Clim Dyn 15:475–489. https://doi.org/10.1007/s003820050294
Kripalani RH, Kulkarni A, Sabade SS, Khandekar ML (2003) Indian monsoon variability in a global warming scenario. Nat Hazards 29:189–206. https://doi.org/10.1023/A:1023695326825
Li W, Guo W, Qiu B, Xue Y, Hsu P-C, Wei J (2018) Influence of Tibetan Plateau snow cover on East Asian atmospheric circulation at medium-range time scales. Nat Commun. https://doi.org/10.1038/s41467-018-06762-5
Liston GE, Hiemstra CA (2011) The changing cryosphere: pan-Arctic snow trends (1979–2009). J Clim 24:5691–5712. https://doi.org/10.1175/jcli-d-11-00081.1
Liu X, Chen B (2000) Climatic warming in the Tibetan Plateau during recent decades. Int J Climatol 20:1729–1742
Liu G, Wu R, Zhang Y, Nan S (2014) The summer snow cover anomaly over the Tibetan Plateau and its association with simultaneous precipitation over the mei-yu-baiu region. Adv Atmos Sci 31:755–764. https://doi.org/10.1007/s00376-013-3183-z
Ma N, Zhang Y, Guo Y, Gao H, Zhang H, Wang Y (2015) Environmental and biophysical controls on the evapotranspiration over the highest alpine steppe. J Hydrol 529:980–992. https://doi.org/10.1016/j.jhydrol.2015.09.013
Mazzotti G, Currier WR, Deems JS, Pflug JM, Lundquist JD, Jonas T (2019) Revisiting snow cover variability and canopy structure within forest stands: insights from airborne lidar data. Water Resour Res 55:6198–6216. https://doi.org/10.1029/2019WR024898
Molotch NP, Bales RC (2005) Scaling snow observations from the point to the grid element: implications for observation network design. Water Resour Res. https://doi.org/10.1029/2005wr004229
Niittynen P, Heikkinen RK, Luoto M (2018) Snow cover is a neglected driver of Arctic biodiversity loss. Nat Clim Change 8:997–1001. https://doi.org/10.1038/s41558-018-0311-x
Orsolini Y, Wegmann M, Dutra E, Liu B, Balsamo G, Yang K, de Rosnay P, Zhu C, Wang W, Senan R, Arduini G (2019) Evaluation of snow depth and snow cover over the Tibetan Plateau in global reanalyses using in situ and satellite remote sensing observations. The Cryosphere 13:2221–2239. https://doi.org/10.5194/tc-13-2221-2019
Parajka J, Blöschl G (2008) Spatio-temporal combination of MODIS images–potential for snow cover map**. Water Resour Res. https://doi.org/10.1029/2007wr006204
Paudel KP, Andersen P (2013) Response of rangeland vegetation to snow cover dynamics in Nepal Trans Himalaya. Clim Change 117:149–162. https://doi.org/10.1007/s10584-012-0562-x
Peng S, Piao S, Ciais P, Friedlingstein P, Zhou L, Wang T (2013) Change in snow phenology and its potential feedback to temperature in the Northern Hemisphere over the last three decades. Environ Res Lett 8:014008. https://doi.org/10.1088/1748-9326/8/1/014008
Pepin N, Bradley RS, Diaz HF, Baraer M, Caceres EB, Forsythe N, Fowler H, Greenwood G, Hashmi MZ, Liu XD, Miller JR, Ning L, Ohmura A, Palazzi E, Schöner RI, Schöner W, Wang MB, Williamson SN, Williamson SN, Yang DQ (2015) Elevation-dependent warming in mountain regions of the world. Nat Clim Change 5:424–430. https://doi.org/10.1038/nclimate2563
Pulliainen J, Aurela M, Laurila T, Aalto T, Takala M, Salminen M, Kulmala M, Barr A, Heimann M, Lindroth A, Laaksonen A, Derksen C, Makela A, Markkanen T, Lemmetyinen J, Susiluoto J, Dengel S, Mammarella I, Tuovinen JP, Vesala T (2017) Early snowmelt significantly enhances boreal springtime carbon uptake. Proc Natl Acad Sci 114:11081–11086. https://doi.org/10.1073/pnas.1707889114
Qian YF, Zheng YQ, Zhang Y, Miao MQ (2003) Responses of China’s summer monsoon climate to snow anomaly over the Tibetan Plateau. Int J Climatol 23:593–613. https://doi.org/10.1002/joc.901
Qin D, Liu S, Li P (2006) Snow cover distribution, variability, and response to climate change in western China. J Clim 19:1820–1833. https://doi.org/10.1175/JCLI3694.1
Qin J, Yang K, Liang S, Guo X (2009) The altitudinal dependence of recent rapid warming over the Tibetan Plateau. Clim Change 97:321–327. https://doi.org/10.1007/s10584-009-9733-9
Qin Y, Abatzoglou JT, Siebert S, Huning LS, AghaKouchak A, Mankin JS, Hong C, Tong D, Davis SJ, Mueller ND (2020) Agricultural risks from changing snowmelt. Nat Clim Change 10:459–465. https://doi.org/10.1038/s41558-020-0746-8
Rangwala I, Miller JR (2012) Climate change in mountains: a review of elevation-dependent warming and its possible causes. Clim Change 114:527–547. https://doi.org/10.1007/s10584-012-0419-3
Reid DG, Bilodeau F, Krebs CJ, Gauthier G, Kenney AJ, Gilbert BS, Leung MC, Duchesne D, Hofer E (2012) Lemming winter habitat choice: a snow-fencing experiment. Oecologia 168:935–946. https://doi.org/10.1007/s00442-011-2167-x
Rikiishi K, Nakasato H (2006) Height dependence of the tendency for reduction in seasonal snow cover in the Himalaya and the Tibetan Plateau region, 1966-2001. Ann Glaciol 43:369–377. https://doi.org/10.3189/172756406781811989
Serreze MC, Barrett AP, Stroeve JC, Kindig DN, Holland MM (2009) The emergence of surface-based Arctic amplification. The Cryosphere 3:11–19. https://doi.org/10.5194/tc-3-11-2009
Shen SSP, Yao R, Ngo J, Basist AM, Thomas N, Yao T (2015) Characteristics of the Tibetan Plateau snow cover variations based on daily data during 1997–2011. Theoret Appl Climatol 120:445–453. https://doi.org/10.1007/s00704-014-1185-0
Stewart IT, Cayan DR, Dettinger MD (2005) Changes toward earlier streamflow timing across western North America. J Clim 18:1136–1155. https://doi.org/10.1175/JCLI3321.1
Stillinger T, Roberts DA, Collar NM, Dozier J (2019) Cloud masking for Landsat 8 and MODIS Terra over snow-covered terrain: error analysis and spectral similarity between snow and cloud. Water Resour Res 55:6169–6184. https://doi.org/10.1029/2019WR024932
Wang HJ, He SP (2012) The increase of snowfall in Northeast China after the mid-1980s. Chin Sci Bull 58:1350–1354. https://doi.org/10.1007/s11434-012-5508-1
Wang X, **e H (2009) New methods for studying the spatiotemporal variation of snow cover based on combination products of MODIS Terra and Aqua. J Hydrol 371:192–200. https://doi.org/10.1016/j.jhydrol.2009.03.028
Wang X, **e H, Liang T, Huang X (2009) Comparison and validation of MODIS standard and new combination of Terra and Aqua snow cover products in northern **njiang, China. Hydrol Process 23:419–429. https://doi.org/10.1002/hyp.7151
Wang X, Wu C, Wang H, Gonsamo A, Liu Z (2017) No evidence of widespread decline of snow cover on the Tibetan Plateau over 2000–2015. Sci Rep 7:14645. https://doi.org/10.1038/s41598-017-15208-9
Wang X, Pang G, Yang M (2018a) Precipitation over the Tibetan Plateau during recent decades: a review based on observations and simulations. Int J Climatol 38:1116–1131. https://doi.org/10.1002/joc.5246
Wang Z, Wu R, Huang G (2018b) Low-frequency snow changes over the Tibetan Plateau. Int J Climatol 38:949–963. https://doi.org/10.1002/joc.5221
Wang X, Chen R, Liu G, Yang Y, Song Y, Liu J, Liu Z, Han C, Liu X, Guo S, Wang L, Zheng Q (2019) Spatial distributions and temporal variations of the near-surface soil freeze state across China under climate change. Glob Planet Change 172:150–158. https://doi.org/10.1016/j.gloplacha.2018.09.016
Westerling AL, Hidalgo HG, Cayan DR, Swetnam TW (2006) Warming and earlier spring increase western U.S. forest wildfire activity. Science 313:940–943. https://doi.org/10.1126/science.1128834
Wu Z, Jiang Z, Li J, Zhong S, Wang L (2012) Possible association of the western Tibetan Plateau snow cover with the decadal to interdecadal variations of northern China heatwave frequency. Clim Dyn 39:2393–2402. https://doi.org/10.1007/s00382-012-1439-4
Wu R, Liu G, Zhao P (2014) Contrasting Eurasian spring and summer climate anomalies associated with western and eastern Eurasian spring snow cover changes. J Geophys Res Atmos 119:7410–7424. https://doi.org/10.1002/2014JD021764
**ao Z, Duan A (2016) Impacts of Tibetan Plateau snow cover on the interannual variability of the east Asian summer monsoon. J Clim 29:8495–8514. https://doi.org/10.1175/jcli-d-16-0029.1
Xu W, Ma L, Ma M, Zhang H, Yuan W (2017) Spatial-temporal variability of snow cover and depth in the Qinghai-Tibetan Plateau. J Clim 30:1521–1533. https://doi.org/10.1175/jcli-d-15-0732.1
Yang D, Zhao Y, Armstrong R, Robinson D, Brodzik M-J (2007) Streamflow response to seasonal snow cover mass changes over large Siberian watersheds. J Geophys Res. https://doi.org/10.1029/2006jf000518
Yang Y, Guan H, Shen M, Liang W, Jiang L (2015) Changes in autumn vegetation dormancy onset date and the climate controls across temperate ecosystems in China from 1982 to 2010. Glob Chang Biol 21:652–665. https://doi.org/10.1111/gcb.12778
Yang T, Li Q, Ahmad S, Zhou H, Li L (2019) Changes in snow phenology from 1979 to 2016 over the Tianshan Mountains, Central Asia. Remote Sens 11:499. https://doi.org/10.3390/rs11050499
Yeo S-R, Kim W, Kim K-Y (2017) Eurasian snow cover variability in relation to warming trend and Arctic Oscillation. Clim Dyn 48:499–511. https://doi.org/10.1007/s00382-016-3089-4
You Q, Wu T, Shen L, Pepin N, Zhang L, Jiang Z, Wu Z, Kang S, AghaKouchak A (2020) 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
Zeng X, Broxton P, Dawson N (2018) Snowpack change from 1982 to 2016 over conterminous United States. Geophys Res Lett 45:12940–12947. https://doi.org/10.1029/2018gl079621
Zhang T (2005) Influence of the seasonal snow cover on the ground thermal regime: an overview. Rev Geophys. https://doi.org/10.1029/2004rg000157
Zhang Y, Ma N (2018) Spatiotemporal variability of snow cover and snow water equivalent in the last three decades over Eurasia. J Hydrol 559:238–251. https://doi.org/10.1016/j.jhydrol.2018.02.031
Zhang H, Zhang F, Zhang G, Che T, Yan W, Ye M, Ma N (2019) Ground-based evaluation of MODIS snow cover product V6 across China: implications for the selection of NDSI threshold. Sci Total Environ 651:2712–2726. https://doi.org/10.1016/j.scitotenv.2018.10.128
Zhao J (1995) Chinese physical geography. High Education Press, Bei**g
Zheng Z, Ma Q, ** S, Su Y, Guo Q, Bales RC (2019) Canopy and terrain interactions affecting snowpack spatial patterns in the Sierra Nevada of California. Water Resour Res 55(11):8721–8739. https://doi.org/10.1029/2018wr02375
Zhong X, Zhang T, Kang S, Wang K, Zheng L, Hu Y, Wang H (2018) Spatiotemporal variability of snow depth across the Eurasian continent from 1966 to 2012. The Cryosphere 12(1):227–245. https://doi.org/10.5194/tc-12-227-2018
Acknowledgements
This research was jointly funded by the National Key Research and Development Program of China (2017YFA0603101), Strategic Priority Research Program (A) of CAS (XDA20060201), National Natural Science Foundation of China (41801047, 41661144025), CAS International Cooperation Program (131C11KYSB20160061), and the Research Funding of the China-Pakistan Joint Research Center for Earth Science. We thank Dr. Chunyu Dong for his helpful suggestions on the manuscript. We are grateful to the two anonymous reviewers for their comments that greatly improved the earlier manuscript. Observed snow depth data are provided by the National Meteorological Information Center of China Meteorological Administration (http://data.cma.cn/).
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Ma, N., Yu, K., Zhang, Y. et al. Ground observed climatology and trend in snow cover phenology across China with consideration of snow-free breaks. Clim Dyn 55, 2867–2887 (2020). https://doi.org/10.1007/s00382-020-05422-z
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DOI: https://doi.org/10.1007/s00382-020-05422-z