Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 345–356, 2020
https://doi.org/10.5194/essd-12-345-2020
Earth Syst. Sci. Data, 12, 345–356, 2020
https://doi.org/10.5194/essd-12-345-2020

Data description paper 13 Feb 2020

Data description paper | 13 Feb 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

Sher Muhammad and Amrit Thapa

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Cited articles

Alonso-González, E., López-Moreno, J. I., Gascoin, S., García-Valdecasas Ojeda, M., Sanmiguel-Vallelado, A., Navarro-Serrano, F., Revuelto, J., Ceballos, A., Esteban-Parra, M. J., and Essery, R.: Daily gridded datasets of snow depth and snow water equivalent for the Iberian Peninsula from 1980 to 2014, Earth Syst. Sci. Data, 10, 303–315, https://doi.org/10.5194/essd-10-303-2018, 2018. 
Armstrong, R. L., Rittger, K., Brodzik, M. J., Racoviteanu, A., Barrett, A. P., Khalsa, S. J. S., Raup, B., Hill, A. F., Khan, A. L., Wilson, A. M., Kayastha, R. B., Fetterer, F., and Armstrong, B.: Runoff from glacier ice and seasonal snow in High Asia: separating melt water sources in river flow, Reg. Environ. Chang., (November), 19, 1249–1261, https://doi.org/10.1007/s10113-018-1429-0, 2019. 
Basang, D., Barthel, K., Olseth, J. A., Basang, D., Barthel, K., and Olseth, J. A.: Satellite and Ground Observations of Snow Cover in Tibet during 2001–2015, Remote Sens., 9, 1201, https://doi.org/10.3390/rs9111201, 2017. 
Brun, F., Berthier, E., Wagnon, P., Kääb, A., and Treichler, D.: A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016, Nat. Geosci., 10, 668–673, https://doi.org/10.1038/ngeo2999, 2017. 
Clifton, C. F., Day, K. T., Luce, C. H., Grant, G. E., Safeeq, M., Halofsky, J. E., and Staab, B. P.: Effects of climate change on hydrology and water resources in the Blue Mountains, Oregon, USA, Clim. Serv., 10, 9–19, https://doi.org/10.1016/j.cliser.2018.03.001, 2018. 
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Short summary
Snow is the major water resource in high-mountain Asia; therefore, it is crucial to continuously monitor it. Currently, remote sensing, mainly MODIS, is used for snow monitoring. However, the available MODIS snow product is not useful for various applications without postprocessing and improvement. This study reduces uncertainty in the MODIS snow data. We found approximately 50% underestimation and overestimation of snow cover by MODIS Terra–Aqua products, which were improved in this study.