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Description

The MODIS/Terra Snow Cover Monthly L3 Global 0.05Deg CMG (MOD10CM) data set, new for Version 5 (V005), contains snow cover and Quality Assessment (QA) data in Hierarchical Data Format- Earth Observing System (HDF-EOS) format, and corresponding metadata. This data set consists of 7200 column by 3600 row global arrays of snow cover in a 0.05 deg Climate Modeling Grid (CMG). MODIS snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests. Monthly average snow cover is calculated from the daily global products for the month.

Version Description

Version 5 was the firsts version of this data set. It didn't exist before Version 5.

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
2000-03-01 to 2016-12-31
Temporal Resolution
Varies
Concept ID
C3050350397-NSIDC_CPRD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
3
Published
Science Keywords
Snow Cover ,
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., Salomonson, V., & Riggs, G. (2006). MODIS/Terra Snow Cover Monthly L3 Global 0.05Deg CMG, Version 5 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/IPPLURB6RPCN Date Accessed: 2026-10-29

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
Snow Leopard (Panthera uncia) Status in Russian Federation
  • Karnaukhov, Alexander
HighResolution NationalScale Water Modeling Is Enhanced by Multiscale Differentiable PhysicsInformed Machine Learning
  • Song, Yalan, Bindas, Tadd, Shen, Chaopeng, Ji, Haoyu, Knoben, Wouter J. M., Lonzarich, Leo, Clark, Martyn P., Liu, Jiangtao, van Werkhoven, Katie, Lamont, Sam, Denno, Matthew, Pan, Ming, Yang, Yuan, Rapp, Jeremy, Kumar, Mukesh, Rahmani, Farshid, Thebault, Cyril, Adkins, Richard, Halgren, James, Patel, Trupesh, Patel, Arpita, Sawadekar, Kamlesh Arun, Lawson, Kathryn
Development of the snow-and ice-accounting routine (SIAR)
  • Ruelland, Denis
Climate Change Impacts on the Hydrology of the Brahmaputra River Basin
  • Palash, Wahid, Bajracharya, Sagar Ratna, Shrestha, Arun Bhakta, Wahid, Shahriar, Hossain, Md. Shahadat, Mogumder, Tarun Kanti, Mazumder, Liton Chandra
An assessment of high-resolution gridded temperature datasets over California
  • Walton, Daniel, Hall, Alex
Long-term simulations for ocean energy off the Brazilian coast
  • Kirinus, Eduardo de Paula, Oleinik, Phelype Haron, Costi, Juliana, Marques, Wiliam Correa
Local temperature response to land cover and management change driven by non-radiative processes
  • Bright, Ryan M., Davin, Edouard, OHalloran, Thomas, Pongratz, Julia, Zhao, Kaiguang, Cescatti, Alessandro
Incorporating snow albedo feedback into downscaled temperature and snow cover projections for California's Sierra Nevada
  • Walton, Daniel B., Hall, Alex, Berg, Neil, Schwartz, Marla, Sun, Fengpeng
How much cryosphere model complexity is just right? Exploration using the conceptual cryosphere hydrology framework
  • Mosier, Thomas M., Hill, David F., Sharp, Kendra V.
Satellite-derived changes in the permafrost landscape of central Yakutia, 20002011: Wetting, drying, and fires
  • Boike, Julia, Grau, Thomas, Heim, Birgit, Gunther, Frank, Langer, Moritz, Muster, Sina, Gouttevin, Isabelle, Lange, Stephan
Impact of snow darkening via dust, black carbon, and organic carbon on
  • Yasunari, Teppei J., Koster, Randal D., Lau, William K. M., Kim, KyuMyong
Quantifying the skill of CMIP5 models in simulating seasonal albedo and snow cover evolution
  • Thackeray, Chad W., Fletcher, Christopher G., Derksen, Chris
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