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Description

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, offers users 25 km Northern Hemisphere snow cover extent represented by four different variables. Three of the snow cover variables are derived from the Interactive Multisensor Snow and Ice Mapping System, MODIS Cloud Gap Filled Snow Cover, and passive microwave brightness temperatures, respectively. The fourth variable merges the three source products into a single representation of snow cover.

Version Description

Initial release

Product Summary

Platforms
DMSP 5D-2/F11 ,
DMSP 5D-2/F13 ,
DMSP 5D-2/F8 ,
DMSP 5D-3/F17 ,
Terra
Instruments
SSM/I ,
SSMIS ,
MODIS
Projects
PM-LT ,
MEaSUREs
Spatial Extent

N: 90 S: 0 E: 180 W: -180

Spatial Resolution
25 Kilometers x 25 Kilometers
Spatial Reference System(s)
WGS 84 / NSIDC EASE-Grid 2.0 North (EPSG:6931)
Location
NORTHERN HEMISPHERE
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
1999-01-01 to 2012-12-31
Temporal Resolution
1 Day
Concept ID
C3291000346-NSIDC_CPRD
Data State
COMPLETE
Number of Files/Granules
5113
Processing Level
3
Published
Updated
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

Robinson, D., Hall, D., & Mote, T. (2014). MEaSUREs Northern Hemisphere Terrestrial Snow Cover Extent Daily 25km EASE-Grid 2.0, Version 1 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/MEASURES/CRYOSPHERE/NSIDC-0530.001 Date Accessed: 2026-10-08

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  • Dawson, Nicholas, Broxton, Patrick, Zeng, Xubin
ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks
  • Krinner, Gerhard, Derksen, Chris, Essery, Richard, Flanner, Mark, Hagemann, Stefan, Clark, Martyn, Hall, Alex, Rott, Helmut, Brutel-Vuilmet, Claire, Kim, Hyungjun, Menard, Cecile B., Mudryk, Lawrence, Thackeray, Chad, Wang, Libo, Arduini, Gabriele, Balsamo, Gianpaolo, Bartlett, Paul, Boike, Julia, Boone, Aaron, Cheruy, Frederique, Colin, Jeanne, Cuntz, Matthias, Dai, Yongjiu, Decharme, Bertrand, Derry, Jeff, Ducharne, Agnes, Dutra, Emanuel, Fang, Xing, Fierz, Charles, Ghattas, Josephine, Gusev, Yeugeniy, Haverd, Vanessa, Kontu, Anna, Lafaysse, Matthieu, Law, Rachel, Lawrence, Dave, Li, Weiping, Marke, Thomas, Marks, Danny, Menegoz, Martin, Nasonova, Olga, Nitta, Tomoko, Niwano, Masashi, Pomeroy, John, Raleigh, Mark S., Schaedler, Gerd, Semenov, Vladimir, Smirnova, Tanya G., Stacke, Tobias, Strasser, Ulrich, Svenson, Sean, Turkov, Dmitry, Wang, Tao, Wever, Nander, Yuan, Hua, Zhou, Wenyan, Zhu, Dan
Arctic radiative fluxes: Present-day biases and future projections in CMIP5 models
  • English, Jason M., Gettelman, Andrew, Henderson, Gina R.
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