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Description

This global Level-3 (L3) data set provides the percentage of snow-covered land and cloud-covered land observed daily, within 0.05° (approx. 5 km) MODIS Climate Modeling Grid (CMG) cells. Percentages are computed from snow cover observations in the 'MODIS/Terra Snow Cover Daily L3 Global 500m Grid' data set (DOI:10.5067/MODIS/MOD10A1.061).

The terms "Version 61" and "Collection 6.1" are used interchangeably in reference to this release of MODIS data.

Version Description

1. The low visible reflectance screen for snow cover using bands 2 and 4 was lowered from 0.10 to 0.07. 2. Cloud mask algorithm flags are set for 'probably cloudy' and 'probably clear' sky conditions in the algorithm flags QA data set.

Product Summary

Platforms
Terra
Instruments
MODIS
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
0.05 Decimal Degrees x 0.05 Decimal Degrees
Location
GLOBAL LAND
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2000-02-24 to Present
Temporal Resolution
1 Day
Concept ID
C3044686669-NSIDC_CPRD
Data State
ACTIVE
Number of Files/Granules
9664
Processing Level
3
Published
Science Keywords
Snow Cover

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Hall, D., & Riggs, G. (2021). MODIS/Terra Snow Cover Daily L3 Global 0.05Deg CMG, Version 61 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD10C1.061 Date Accessed: 2026-10-24

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Publications Citing This Dataset

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Linking High-Elevation Snow Persistence, River Discharge, and Irrigated
  • Yegizbayeva, Asset, Konstantinova, Kristina, Kyrgyzbay, Kudaibergen, Dildabek, Didarbek, Bekmukhamedov, Nurlan, Aitekeyeva, Nurgul, Jarihani, Ben
Enhanced MODIS-derived ice physical properties within the Common Land Model (CoLM) revealing bare-icesnow albedo feedback over Greenland
  • Guo, Shuyang, Dai, Yongjiu, Yuan, Hua, Liang, Hongbin
New Features and Enhancements in Community Land Model (CLM5) Snow Albedo
  • He, Cenlin, Flanner, Mark, Lawrence, David M., Gu, Yu
Modeling the Effects of Vegetation and Snow on Dust Storm Over the Gobi
  • Hao, Yueting, Wang, Zilin, Xue, Lian, Lou, Sijia, Ding, Ke, Qin, Yue, Huang, Xin
CWRF Downscaling with Improved Land Surface Initialization Enhances SpringSummer Seasonal Climate Prediction Skill in China
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Carbon Emission Characteristics of Cropland in Northeast China and
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Reducing the Cold Bias of the WRF Model Over the Tibetan Plateau by Implementing a Snow CoverageTopography Relationship and a Fresh Snow Albedo Scheme
  • Zhou, Xu, Ding, Baohong, Yang, Kun, Pan, Jinmei, Ma, Xiaogang, Zhao, Long, Li, Xin, Shi, Jiancheng
Estimates of Dust Emissions and Organic Carbon Losses Induced by Wind Erosion in Farmland Worldwide from 2017 to 2021
  • Liu, Yongxiang, Zhao, Hongmei, Zhao, Guangying, Cao, Xinyuan, Zhang, Xuelei, Xiu, Aijun
A shifting carnivore's community: habitat modeling suggests increased overlap between the golden jackal and the Eurasian lynx in Europe
  • Serva, Davide, Iannella, Mattia, Cittadino, Viviana, Biondi, Maurizio
Vegetation type is an important predictor of the arctic summer land surface energy budget
  • Oehri, Jacqueline, Schaepman-Strub, Gabriela, Kim, Jin-Soo, Grysko, Raleigh, Kropp, Heather, Grunberg, Inge, Zemlianskii, Vitalii, Sonnentag, Oliver, Euskirchen, Eugenie S., Reji Chacko, Merin, Muscari, Giovanni, Blanken, Peter D., Dean, Joshua F., di Sarra, Alcide, Harding, Richard J., Sobota, Ireneusz, Kutzbach, Lars, Plekhanova, Elena, Riihela, Aku, Boike, Julia, Miller, Nathaniel B., Beringer, Jason, Lopez-Blanco, Efren, Stoy, Paul C., Sullivan, Ryan C., Kejna, Marek, Parmentier, Frans-Jan W., Gamon, John A., Mastepanov, Mikhail, Wille, Christian, Jackowicz-Korczynski, Marcin, Karger, Dirk N., Quinton, William L., Putkonen, Jaakko, van As, Dirk, Christensen, Torben R., Hakuba, Maria Z., Stone, Robert S., Metzger, Stefan, Vandecrux, Baptiste, Frost, Gerald V., Wild, Martin, Hansen, Birger, Meloni, Daniela, Domine, Florent, te Beest, Mariska, Sachs, Torsten, Kalhori, Aram, Rocha, Adrian V., Williamson, Scott N., Morris, Sara, Atchley, Adam L., Essery, Richard, Runkle, Benjamin R. K., Holl, David, Riihimaki, Laura D., Iwata, Hiroki, Schuur, Edward A. G., Cox, Christopher J., Grachev, Andrey A., McFadden, Joseph P., Fausto, Robert S., Gockede, Mathias, Ueyama, Masahito, Pirk, Norbert, de Boer, Gijs, Bret-Harte, M. Syndonia, Lepparanta, Matti, Steffen, Konrad, Friborg, Thomas, Ohmura, Atsumu, Edgar, Colin W., Olofsson, Johan, Chambers, Scott D.
On the relevance of aerosols to snow cover variability over High Mountain Asia
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Long-term reconstruction of satellite-based precipitation, soil moisture, and snow water equivalent in China
  • Yang, Wencong, Yang, Hanbo, Li, Changming, Wang, Taihua, Liu, Ziwei, Hu, Qingfang, Yang, Dawen
Cloud Water Resource over the Asian water tower in recent decades
  • Cheng, Jingya, You, Qinglong, Cai, Miao, Sun, Jing, Zhou, Yuquan
Validation of GOES-based surface insolation retrievals and its utility for model evaluation
  • Cheng, Peiyang, Pour-Biazar, Arastoo, McNider, Richard T., Mecikalski, John R.
Processes of intraseasonal snow cover variations over the eastern China during boreal winter
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Quantifying the Clear-Sky Bias of Satellite Land Surface Temperature
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Using R in hydrology: a review of recent developments and future directions
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Spatiotemporal patterns of High Mountain Asia's snowmelt season
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