Articles | Volume 13, issue 2
Earth Syst. Sci. Data, 13, 767–776, 2021
https://doi.org/10.5194/essd-13-767-2021
Earth Syst. Sci. Data, 13, 767–776, 2021
https://doi.org/10.5194/essd-13-767-2021
Data description paper
02 Mar 2021
Data description paper | 02 Mar 2021

Daily Terra–Aqua MODIS cloud-free snow and Randolph Glacier Inventory 6.0 combined product (M*D10A1GL06) for high-mountain Asia between 2002 and 2019

Sher Muhammad and Amrit Thapa

Related authors

Measurement of light-absorbing particles in surface snow of central and western Himalayan glaciers: spatial variability, radiative impacts, and potential source regions
Chaman Gul, Shichang Kang, Siva Praveen Puppala, Xiaokang Wu, Cenlin He, Yangyang Xu, Inka Koch, Sher Muhammad, Rajesh Kumar, and Getachew Dubache
Atmos. Chem. Phys., 22, 8725–8737, https://doi.org/10.5194/acp-22-8725-2022,https://doi.org/10.5194/acp-22-8725-2022, 2022
Short summary
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
Earth Syst. Sci. Data, 12, 345–356, https://doi.org/10.5194/essd-12-345-2020,https://doi.org/10.5194/essd-12-345-2020, 2020
Short summary

Related subject area

Snow and Sea Ice
Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica
Nicolas Ghilain, Stéphane Vannitsem, Quentin Dalaiden, Hugues Goosse, Lesley De Cruz, and Wenguang Wei
Earth Syst. Sci. Data, 14, 1901–1916, https://doi.org/10.5194/essd-14-1901-2022,https://doi.org/10.5194/essd-14-1901-2022, 2022
Short summary
The S2M meteorological and snow cover reanalysis over the French mountainous areas: description and evaluation (1958–2021)
Matthieu Vernay, Matthieu Lafaysse, Diego Monteiro, Pascal Hagenmuller, Rafife Nheili, Raphaëlle Samacoïts, Deborah Verfaillie, and Samuel Morin
Earth Syst. Sci. Data, 14, 1707–1733, https://doi.org/10.5194/essd-14-1707-2022,https://doi.org/10.5194/essd-14-1707-2022, 2022
Short summary
A new Greenland digital elevation model derived from ICESat-2 during 2018–2019
Yubin Fan, Chang-Qing Ke, and Xiaoyi Shen
Earth Syst. Sci. Data, 14, 781–794, https://doi.org/10.5194/essd-14-781-2022,https://doi.org/10.5194/essd-14-781-2022, 2022
Short summary
Reconstruction of a daily gridded snow water equivalent product for the land region above 45° N based on a ridge regression machine learning approach
Donghang Shao, Hongyi Li, Jian Wang, Xiaohua Hao, Tao Che, and Wenzheng Ji
Earth Syst. Sci. Data, 14, 795–809, https://doi.org/10.5194/essd-14-795-2022,https://doi.org/10.5194/essd-14-795-2022, 2022
Short summary
Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers
Xiaoyi Shen, Chang-Qing Ke, and Haili Li
Earth Syst. Sci. Data, 14, 619–636, https://doi.org/10.5194/essd-14-619-2022,https://doi.org/10.5194/essd-14-619-2022, 2022
Short summary

Cited articles

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., 19, 1249–1261, https://doi.org/10.1007/s10113-018-1429-0, 2019. 
Hall, D. K. and Riggs, G. A.: Accuracy assessment of the MODIS snow products, Hydrol. Process., 21, 1534–1547, https://doi.org/10.1002/hyp.6715, 2007. 
Hall, D. K., Riggs, G. A., Salomonson, V. V., Digirolamo, N. E., and Bayr, K. J.: MODIS snow-cover products, Remote Sens. Environ., 83, 181–194, https://doi.org/10.1016/S0034-4257(02)00095-0, 2002. 
Hall, D. K., Kelly, R. E., Foster, J. L., and Chang, A. T.: Estimation of Snow Extent and Snow Properties, in: Encyclopedia of Hydrological Sciences, edited by: Anderson, M. G., Wiley, Berlin, 811–829, https://doi.org/10.1002/0470848944.hsa062, 2005. 
Hall, D. K., Foster, J. L., DiGirolamo, N. E., and Riggs, G. A.: Snow cover, snowmelt timing and stream power in the Wind River Range, Wyoming, Geomorphology, 137, 87–93, https://doi.org/10.1016/j.geomorph.2010.11.011, 2012. 
Download
Short summary
Snow is a dominant water resource in high-mountain Asia and crucial for mountain communities and downstream populations. The present MODIS snow products are significantly uncertain and not useful for observation and simulation of climate, hydrology, and other water-related studies. This study reduces uncertainty in the daily MODIS snow data and generates a MODIS Terra–Aqua combined product reducing uncertainties due to cloud cover, data gaps, and other errors caused by sensor limitations.