References
- Amatya, P.M., et al., 2015. Recent trends (2003–2013) of land surface heat fluxes on the southern side of the central Himalayas, Nepal. Journal of Geophysical Research: Atmospheres, 120 (11), 957–970. doi:https://doi.org/10.1002/2015JD023510.
- Baniya, B., et al., 2018. Spatial and temporal variation of NDVI in response to climate change and the implication for carbon dynamics in Nepal. Forests, 9 (6), 1–18. doi:https://doi.org/10.3390/f9060329.
- Barman, S. and Bhattacharjya, R.K., 2015. Change in snow cover area of Brahmaputra river basin and its sensitivity to temperature. Environmental Systems Research, 4 (1). Springer Berlin Heidelberg. doi:https://doi.org/10.1186/s40068-015-0043-0.
- Basnett, S. and Kulkarni, A.V., 2019. Snow cover changes observed over Sikkim Himalaya. A. Saikia and P. Thapa Eds. Cham: Springer International Publishing. Springer Nature Switzerland. doi:https://doi.org/10.1007/978-3-030-03362-0.
- Beaudoing, H.K., Rodell, M. and NASA/GSFC/HSL, 2020. LDAS NOAH land surface model L4 monthly 0.25 x 0.25 degree V2.1. Greenbelt, Maryland: Goddard Earth Sciences Data and Information Services Center (GES DISC). doi:https://doi.org/10.5067/SXAVCZFAQLNO.
- Bilal, H., et al., 2019. Recent snow cover variation in the upper Indus basin of Gilgit Baltistan, Hindukush Karakoram Himalaya. Journal of Mountain Science, 16 (2), 296–308. doi:https://doi.org/10.1007/s11629-018-5201-3.
- Bolch, T., et al., 2012. The state and fate of himalayan glaciers. Science (80-.), 336 (6079), 310–314. doi:https://doi.org/10.1126/science.1215828.
- Bonekamp, P.N.J., et al., June 2019. Contrasting meteorological drivers of the glacier mass balance between the Karakoram and central Himalaya. Frontiers in Earth Science, 7, 1–14. doi:https://doi.org/10.3389/feart.2019.00107.
- Chelamallu, H.P., Venkataraman, G., and Murti, M.V.R., 2014. Accuracy assessment of MODIS/Terra snow cover product for parts of Indian Himalayas. Geocarto International, 29 (6), 592–608. doi:https://doi.org/10.1080/10106049.2013.819041.
- Chen, S., et al., 2020. Spatial and temporal adaptive gap-filling method producing daily cloud-free NDSI time series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 2251–2263. doi:https://doi.org/10.1109/jstars.2020.2993037
- Choudhury, A., Yadav, A.C., and Bonafoni, S., 2021. A response of snow cover to the climate in the northwest himalaya (Nwh) using satellite products. Remote Sensing, 13 (4), 1–22. doi:https://doi.org/10.3390/rs13040655.
- Cogley, J.G., 2011. Present and future states of Himalaya and Karakoram glaciers. Annals of Glaciology, 52 (59), 69–73. doi:https://doi.org/10.3189/172756411799096277.
- Dankers, R. and De Jong, S.M., 2004. Monitoring snow-cover dynamics in Northern Fennoscandia with SPOT VEGETATION images. International Journal of Remote Sensing, 25 (15), 2933–2949. doi:https://doi.org/10.1080/01431160310001618374.
- Dariane, A.B., Khoramian, A., and Santi, E. 2017. Investigating spatiotemporal snow cover variability via cloud-free MODIS snow cover product in Central Alborz region. Remote Sensing of Environment, 202, 152–165. Elsevier Inc. doi:https://doi.org/10.1016/j.rse.2017.05.042.
- Dharpure, J.K., et al., 2020. Spatiotemporal snow cover characterization and its linkage with climate change over the Chenab river basin, western Himalayas. GIScience Remote Sensing, 1–25. Taylor & Francis. doi:https://doi.org/10.1080/15481603.2020.1821150.
- ECMWF, 2019. Essential climate variables for assessment of climate variability from 1979 to present. Copernicus Climate Change Service. 1–10.
- Farinotti, D., et al., 2020. Manifestations and mechanisms of the Karakoram glacier Anomaly. In: EGU General Assembly Conference Abstract, 13, 8–16. doi:https://doi.org/10.1038/s41561-019-0513-5.
- Foster, J.L., Chang, A.T., and Hall, D.K. 1995. Snow mass in boreal forests derived from a modified passive microwave algorithm. Satellite Remote Sensing, 2314, 605–617. International Society for Optics and Photonics.
- Gafurov, A., et al., 2015. Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data. The Cryosphere, 9 (2), 451–463. doi:https://doi.org/10.5194/tc-9-451-2015.
- Gafurov, A. and Bárdossy, A., 2009. Cloud removal methodology from MODIS snow cover product. Hydrology and Earth System Sciences, 13 (7), 1361–1373. doi:https://doi.org/10.5194/hess-13-1361-2009.
- Gao, Y., et al., 2010. Toward advanced daily cloud-free snow cover and snow water equivalent products from Terra–Aqua MODIS and Aqua AMSR-E measurements. Journal of Hydrology, 385 (1), 23–35. doi:https://doi.org/10.1016/j.jhydrol.2010.01.022.
- Gardelle, J., et al., 2013. Region-wide glacier mass balances over the Pamir-Karakoram-Himalaya during 1999-2011. Cryosphere, 7 (4), 1263–1286. doi:https://doi.org/10.5194/tc-7-1263-2013.
- Gardelle, J., Berthier, E., and Arnaud, Y., 2012. Slight mass gain of Karakoram glaciers in the early twenty-first century. Nature Geoscience, 5 (5), 1–4. Nature Publishing Group. doi:https://doi.org/10.1038/ngeo1450.
- Gautam, M.R., Timilsina, G.R., and Acharya, K., 2013. Climate change in the Himalayas: current state of knowledge. World Bank Development Research Group Environment and Energy Team. doi:https://doi.org/10.1596/1813-9450-6516.
- Gurung, D.R., et al., 2011. Snow-cover mapping and monitoring in The Hindu Kush-Himalayas. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD).
- Hall, D.K., Foster, J.L., and Chang, A.T.C., 1982. Measurement and modeling of microwave emission from forested snowfields in Michigan. Hydrology Research, 13 (3), 129–138. doi:https://doi.org/10.2166/nh.1982.0011.
- Hall, D.K. and Riggs, G.A., 2007. Accuracy assessment of the MODIS snow products. Hydrological Processes, 21 (12), 1534–1547. doi:https://doi.org/10.1002/hyp.6715.
- Hall, D.K., Riggs, G.A., and Salomonson, V.V., 1995. Mapping global snow cover using moderate resolution imaging spectroradiometer (MODIS) data. Remote Sensing of Environment, 54 (3), 127–140. doi:https://doi.org/10.1016/0034-4257(95)00137-P.
- Hasson, S., et al., 2014a. Early 21st century snow cover state over the western river basins of the Indus river system. Hydrology and Earth System Sciences, 18 (10), 4077–4100. doi:https://doi.org/10.5194/hess-18-4077-2014.
- Hasson, S., et al., 2014b. Seasonality of the hydrological cycle in major South and Southeast Asian river basins as simulated by PCMDI/CMIP3 experiments. Earth System Dynamics, 5 (1), 67–87. doi:https://doi.org/10.5194/esd-5-67-2014.
- Hoffmann, L., et al., 2019. From ERA-Interim to ERA5: the considerable impact of ECMWF’s next-generation reanalysis on Lagrangian transport simulations. Atmospheric Chemistry and Physics, 19 (5), 3097–3124. doi:https://doi.org/10.5194/acp-19-3097-2019.
- Huang, X., et al., 2014. A new MODIS daily cloud free snow cover mapping algorithm on the Tibetan Plateau. Sciences in Cold and Arid Regions, 6 (2), 0116–123. doi:https://doi.org/10.3724/SP.J.1226.2014.00116.
- Huang, X., et al. 2017. Impact of climate and elevation on snow cover using integrated remote sensing snow products in Tibetan Plateau. Remote Sensing of Environment, 190, 274–288. Elsevier Inc. doi:https://doi.org/10.1016/j.rse.2016.12.028.
- Immerzeel, W.W., Van Beek, L.P.H., and Bierkens, M.F.P., 2010. Climate change will affect the asian water towers. Science (80-.), 328 (5984), 1382–1385. doi:https://doi.org/10.1126/science.1183188.
- Jain, S.K., Goswami, A., and Saraf, A.K., 2008. Accuracy assessment of MODIS, NOAA and IRS data in snow cover mapping under Himalayan conditions. International Journal of Remote Sensing, 29 (20), 5863–5878. doi:https://doi.org/10.1080/01431160801908129.
- Jarvis, A., et al., 2008. Hole-filled SRTM for the globe version 4, from the CGIAR-CSI SRTM 90m database. Available from: http://srtm.csi.cgiar.org
- Jing, Y., et al., 2019. A two-stage fusion framework to generate a spatio’temporally continuous MODIS NDSI product over the Tibetan Plateau. Remote Sensing, 11 (19), 1–21. doi:https://doi.org/10.3390/rs11192261.
- Klein, A.G. and Barnett, A.C., 2003. Validation of daily MODIS snow cover maps of the upper Rio Grande river basin for the 2000–2001 snow year. Remote Sensing of Environment, 86 (2), 162–176. doi:https://doi.org/10.1016/S0034-4257(03)00097-X.
- Kour, R., Patel, N., and Krishna, A.P., 2016. Assessment of temporal dynamics of snow cover and its validation with hydro-meteorological data in parts of Chenab basin, western Himalayas. Science China Earth Sciences, 59 (5), 1081–1094. doi:https://doi.org/10.1007/s11430-015-5243-y.
- Kulkarni, A.V., et al., 2006. Algorithm to monitor snow cover using AWiFS data of RESOURCESAT-1 for the Himalayan region. International Journal of Remote Sensing, 27 (12), 2449–2457. doi:https://doi.org/10.1080/01431160500497820.
- Kulkarni, A.V., et al., 2010. Distribution of seasonal snow cover in central and western Himalaya. Annals of Glaciology, 51 (54), 123–128. doi:https://doi.org/10.3189/172756410791386445.
- Kulkarni, A.V., et al., 2011. Understanding changes in the Himalayan cryosphere using remote sensing techniques. International Journal of Remote Sensing, 32 (3), 601–615. doi:https://doi.org/10.1080/01431161.2010.517802.
- Kumar, M. and Kumar, P., 2016. Snow cover dynamics and geohazards: a case study of Bhilangna watershed, Uttarakhand Himalaya, India. Geoenvironmental Disasters, 3 (1), 0–7. Geoenvironmental Disasters. doi:https://doi.org/10.1186/s40677-016-0035-z.
- Li, H., Li, X., and Xiao, P., 2016. Impact of sensor zenith angle on MOD10A1 data reliability and modification of snow cover data for the Tarim river basin. Remote Sensing, 8 (9), 1–18. doi:https://doi.org/10.3390/rs8090750.
- Li, X., et al., 2017. Monitoring snow cover variability (2000–2014) in the Hengduan mountains based on cloud-removed MODIS products with an adaptive spatio-temporal weighted method. Journal of Hydrology, 551, 314–327. doi:https://doi.org/10.1016/j.jhydrol.2017.05.049
- Li, X., et al., 2019. The recent developments in cloud removal approaches of MODIS snow cover product. Hydrology and Earth System Sciences, 23 (5), 2401–2416. doi:https://doi.org/10.5194/hess-23-2401-2019.
- Li, Y., Chen, Y., and Li, Z., 2019. Developing daily cloud-free snow composite products from MODIS and IMS for the Tienshan mountains. Earth and Space Science, 6 (2), 266–275. doi:https://doi.org/10.1029/2018EA000460.
- Liang, T.G., et al., 2008. An application of MODIS data to snow cover monitoring in a pastoral area: a case study in Northern Xinjiang, China. Remote Sensing of Environment, 112 (4), 1514–1526. doi:https://doi.org/10.1016/j.rse.2007.06.001.
- Lopez-Burgos, V., Gupta, H.V., and Clark, M., 2013. Reducing cloud obscuration of MODIS snow cover area products by combining spatio-temporal techniques with a probability of snow approach. Hydrology and Earth System Sciences, 17 (5), 1809–1823. doi:https://doi.org/10.5194/hess-17-1809-2013.
- Mahto, S.S. and Mishra, V., 2019. Does ERA-5 outperform other reanalysis products for hydrologic applications in India? Journal of Geophysical Research: Atmospheres, 124 (16), 9423–9441. doi:https://doi.org/10.1029/2019JD031155.
- Mann, H.B., 1945. Nonparametric tests against trend. Econometrica, 13 (3), 245–259. doi:https://doi.org/10.1016/j.annrmp.2004.07.001.
- Maurer, J.M., et al., 2019. Acceleration of ice loss across the Himalayas over the past 40 years. Science Advances, 5 (6). doi:https://doi.org/10.1126/sciadv.aav7266.
- Muhammad, S. and Thapa, A., 2020. An improved Terra-Aqua MODIS snow cover and Randolph Glacier Inventory 6.0 combined product (MOYDGL06) for high-mountain Asia between 2002 and 2018. Earth System Science Data, 12 (1), 345–356. doi:https://doi.org/10.5194/essd-12-345-2020.
- Mukherji, A., et al., 2019. Contributions of the cryosphere to mountain communities in The Hindu Kush Himalaya: a review. Regional Environmental Change, 19 (5), 1311–1326. Regional Environmental Change. doi:https://doi.org/10.1007/s10113-019-01484-w.
- Mukhopadhyay, B., Khan, A., and Gautam, R., 2015. Rising and falling river flows: contrasting signals of climate change and glacier mass balance from the eastern and western Karakoram. Hydrological Sciences Journal, 60 (12), 2062–2085. Taylor & Francis. doi:https://doi.org/10.1080/02626667.2014.947291.
- Mukhopadhyay, B. and Khan, A. 2014. Rising river flows and glacial mass balance in central Karakoram. Journal of Hydrology, 513, 192–203. Elsevier B.V. doi:https://doi.org/10.1016/j.jhydrol.2014.03.042.
- Negi, H.S., et al. 2020. Status of glaciers and climate change of East Karakoram in early twenty-first century. Science of the Total Environment, 753, 141914. Elsevier B.V. doi:https://doi.org/10.1016/j.scitotenv.2020.141914.
- Negi, H.S., Kulkarni, A.V., and Semwal, B.S., 2009. Estimation of snow cover distribution in Beas basin, Indian Himalaya using satellite data and ground measurements. Journal of Earth System Science, 118 (5), 525–538. doi:https://doi.org/10.1007/s12040-009-0039-0.
- Panday, P.K., Frey, K.E., and Ghimire, B., 2011. Detection of the timing and duration of snowmelt in The Hindu Kush-Himalaya using QuikSCAT, 2000–2008. Environmental Research Letters, 6 (2), 2000–2008. doi:https://doi.org/10.1088/1748-9326/6/2/024007.
- Parajka, J., et al., 2010. A regional snow-line method for estimating snow cover from MODIS during cloud cover. Journal of Hydrology, 381 (3), 203–212. doi:https://doi.org/10.1016/j.jhydrol.2009.11.042.
- Parajka, J. and Blöschl, G., 2008. Spatio-temporal combination of MODIS images - potential for snow cover mapping. Water Resources Research, 44 (3). doi:https://doi.org/10.1029/2007WR006204.
- Patel, A., et al., 2021. Regional mass variations and its sensitivity to climate drivers over glaciers of Karakoram and Himalayas. GIScience Remote Sensing, 1–23. Taylor & Francis. doi:https://doi.org/10.1080/15481603.2021.1930730.
- Paudel, K.P. and Andersen, P., 2011. Monitoring snow cover variability in an agropastoral area in the Trans Himalayan region of Nepal using MODIS data with improved cloud removal methodology. Remote Sensing of Environment, 115 (5), 1234–1246. doi:https://doi.org/10.1016/j.rse.2011.01.006.
- Randhawa, S.S. and Gautam, N., 2019. Assessment of spatial distribution of seasonal snow cover during the year 2018–19 in Himachal Pradesh using space data. Available from: http://www.hpccc.gov.in/documents/SnowCoverAnalysis.pdf
- Riggs, G.A., Hall, D.K., and Roman, M.O., August 2016. MODIS snow products collection 6 user guide. Boulder, CO: National Snow and Ice Data Center, 6, 1–80. Available from: https://modis-snow-ice.gsfc.nasa.gov/uploads/C6_MODIS_Snow_User_Guide.pdf
- Riggs, G.A., Hall, D.K., and Román, M.O., 2017. Overview of NASA’s MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) snow-cover Earth system data records. Earth System Science Data, 9 (2), 765–777. doi:https://doi.org/10.5194/essd-9-765-2017.
- Rodell, M., et al., March 2004. The global land data assimilation system. Bulletin of the American Meteorological Society, 85 (3), 381–394. doi:https://doi.org/10.1175/BAMS-85-3-381.
- Rui, H. and Beaudoing, H.K. 2018. README document for GLDAS version 2 data products. Goddard Earth Sciences Data and Information Services Center (GES DISC), 1–32. Available from: http://hydro1.sci.gsfc.nasa.gov/data/s4pa/GLDAS/GLDAS_NOAH10_M.2.0/doc/README_GLDAS2.pdf
- Sabin, T.P., et al., 2020. Climate change over the Himalayas. In: R. Krishnan, et al., eds. Assessment of climate change over the Indian region: a report of the Ministry of Earth Sciences (MoES), Government of India. Singapore: Springer, 207–222. doi:https://doi.org/10.1007/978-981-15-4327-2_11.
- Sen, P.K., 1968. Estimates of the regression coefficient based on Kendall’s Tau. Journal of the American Statistical Association, 63 (324), 1379–1389. doi:https://doi.org/10.1080/01621459.1968.10480934.
- Shafiq, M.U., et al. 2018. Snow cover area change and its relations with climatic variability in Kashmir Himalayas, India. Geocarto International, 6049, 1–15. Taylor & Francis. doi:https://doi.org/10.1080/10106049.2018.1469675.
- Sharma, S.S. and Ganju, A., 2000. Complexities of avalanche forecasting in western Himalaya - an overview. Cold Regions Science and Technology, 31 (2), 95–102. doi:https://doi.org/10.1016/S0165-232X(99)00034-8.
- Shekhar, M.S., et al., 2010. Climate-change studies in the western Himalaya. Annals of Glaciology, 51 (54), 105–112. doi:https://doi.org/10.3189/172756410791386508.
- Shrestha, A., et al., 2015. The Himalayan climate and water atlas: impact of climate change on water resources in five of Asia’s major river basins. Nepal, Norway and Sweden: ICIMOD, GRID-Arendal and CICERO.
- Simic, A., et al., 2004. Validation of VEGETATION, MODIS, and GOES+ SSM/I snow‐cover products over Canada based on surface snow depth observations. Hydrological Processes, 18 (6), 1089–1104. doi:https://doi.org/10.1002/hyp.5509.
- Singh, S.K., et al., 2014. Snow cover variability in the Himalayan-Tibetan region. International Journal of Climatology, 34 (2), 446–452. doi:https://doi.org/10.1002/joc.3697.
- Snehmani, et al., 2016. Analysis of snow cover and climatic variability in Bhaga basin located in western Himalaya. Geocarto International, 31 (10), 1094–1107. Taylor & Francis. doi:https://doi.org/10.1080/10106049.2015.1120350.
- Sood, V., et al., 2020. Monitoring and mapping of snow cover variability using topographically derived NDSI model over north Indian Himalayas during the period 2008–19. Applied Computing and Geosciences, 8, 100040. doi:https://doi.org/10.1016/j.acags.2020.100040
- Tahir, A.A., et al., 2016. Comparative assessment of spatiotemporal snow cover changes and hydrological behavior of the Gilgit, Astore and Hunza river basins (Hindukush–Karakoram–Himalaya region, Pakistan). Meteorology and Atmospheric Physics, 128 (6), 793–811. Springer Vienna. doi:https://doi.org/10.1007/s00703-016-0440-6.
- Tang, B.H., et al., 2012. Determination of snow cover from MODIS data for the Tibetan Plateau region. International Journal of Applied Earth Observation and Geoinformation, 21 (1), 356–365. Elsevier B.V. doi:https://doi.org/10.1016/j.jag.2012.07.014.
- Tayal, S., 2017. Snow cover variability in western Himalayas and its implications on socio-economic status and livelihood of local communities. British Antarctic Survey. Available from: https://talks.cam.ac.uk/talk/index/72562
- Tran, H., et al. 2019. A cloud-free modis snow cover dataset for the contiguous United States from 2000 to 2017. Scientific Data, 6, 1–13. The Author(s). doi:https://doi.org/10.1038/sdata.2018.300.
- Wan, Z. 2014. New refinements and validation of the collection-6 MODIS land-surface temperature/emissivity product. Remote Sensing of Environment, 140, 36–45. Elsevier Inc. doi:https://doi.org/10.1016/j.rse.2013.08.027.
- Wang, X., et al., 2014. Mapping snow cover variations using a MODIS daily cloud-free snow cover product in northeast China. Journal of Applied Remote Sensing, 8 (1), 084681. doi:https://doi.org/10.1117/1.JRS.8.084681.
- Wang, X., Xie, H., and Liang, T., 2008. Evaluation of MODIS snow cover and cloud mask and its application in Northern Xinjiang, China. Remote Sensing of Environment, 112 (4), 1497–1513. doi:https://doi.org/10.1016/j.rse.2007.05.016.
- Waqas, A. and Athar, H., June 2019. Spatiotemporal variability in daily observed precipitation and its relationship with snow cover of Hindukush, Karakoram and Himalaya region in northern Pakistan. Atmospheric Research, 228, 196–205. Elsevier. doi:https://doi.org/10.1016/j.atmosres.2019.06.002.
- Xu, W., et al., 2017. Assessment of the daily cloud-free MODIS snow-cover product for monitoring the snow-cover phenology over the Qinghai-Tibetan Plateau. Remote Sensing, 9 (6), 585. doi:https://doi.org/10.3390/rs9060585.
- Xue, Y., et al., May 2019. Assimilation of satellite-based snow cover and freeze/thaw observations over high mountain Asia. Frontiers in Earth Science, 7, 1–21. doi:https://doi.org/10.3389/feart.2019.00115.
- Zhang, H., et al. 2019. Ground-based evaluation of MODIS snow cover product V6 across China: implications for the selection of NDSI threshold. Science of the Total Environment, 651, 2712–2726. Elsevier B.V. doi:https://doi.org/10.1016/j.scitotenv.2018.10.128.
- Zhang, Y., 2015. Changing in glacier and snow cover of Karakorum and western Himalaya and impacts on hydrologic regimes. In: EGU General Assembly Conference Abstract, 17. Vienna, Austria, 1686.