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Description

This data set consists of brightness temperatures acquired from the Scanning Multichannel Microwave Radiometer (SMMR) on board the Nimbus-7 Pathfinder satellite. The brightness temperatures are gridded onto the Equal-Area Scalable Earth Grid (EASE-Grid) and are presented in three different projections: Northern Hemisphere, Southern Hemisphere, and global.

Version Description

Initial release

Product Summary

Platforms
Nimbus-7
Instruments
SMMR
Projects
PM-LT
Spatial Extent

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

Spatial Resolution
25 Kilometers x 25 Kilometers
Spatial Reference System(s)
Multiple EPSG codes (see User Guide)
Location
GLOBAL ,
NORTHERN HEMISPHERE ,
SOUTHERN HEMISPHERE
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
1978-10-25 to 1987-08-20
Temporal Resolution
1 Day
Concept ID
C2985417456-NSIDC_CPRD
Data State
COMPLETE
Number of Files/Granules
99669
Processing Level
3
Published
Science Keywords
Brightness Temperature

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

Knowles, Kenneth, Njoku, Eni, Armstrong, Richard, & Brodzik, Mary Jo. (2000). Nimbus-7 SMMR Pathfinder Daily EASE-Grid Brightness Temperatures, Version 1 [Data set]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/36SLCSCZU7N6 Date Accessed: 2026-11-04

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
Updated monthly and new daily bias correction for assimilation-based
  • Venalainen, Pinja, Mortimer, Colleen, Luojus, Kari, Mudryk, Lawrence, Takala, Matias, Pulliainen, Jouni
Evaluation of passive microwave dry snow detection algorithms and application to SWE retrieval during seasonal snow accumulation
  • Zschenderlein, Lina, Luojus, Kari, Takala, Matias, Venalainen, Pinja, Pulliainen, Jouni
GlobSnow v3. 0 Northern Hemisphere snow water equivalent dataset
  • Luojus, Kari, Pulliainen, Jouni, Takala, Matias, Lemmetyinen, Juha, Mortimer, Colleen, Derksen, Chris, Mudryk, Lawrence, Moisander, Mikko, Hiltunen, Mwaba, Smolander, Tuomo, Ikonen, Jaakko, Cohen, Juval, Salminen, Miia, Norberg, Johannes, Veijola, Katriina, Venalainen, Pinja
Variation in ice phenology of large lakes over the northern hemisphere based on passive microwave remote sensing data
  • Su, Lei, Che, Tao, Dai, Liyun
On the use of preconditioners to improve the accuracy and effectiveness of iterative methods to enhance the spatial resolution of radiometer measurements
  • Alparone, Matteo, Nunziata, Ferdinando, Estatico, Claudio, Migliaccio, Maurizio
The 2020 Larsen C Ice Shelf surface melt is a 40-year record high
  • Bevan, Suzanne, Luckman, Adrian, Hendon, Harry, Wang, Guomin
The Consistency of SSM/I vs. SSMIS and the Influence on Snow Cover Detection and Snow Depth Estimation over China
  • Yang, Jianwei, Jiang, Lingmei, Dai, Liyun, Pan, Jinmei, Wu, Shengli, Wang, Gongxue
Spatio-Temporal Analysis of Ice Sheet Snowmelt in Antarctica and Greenland Using Microwave Radiometer Data
  • Liang, Lei, Li, Xinwu, Zheng, Fei
Climate and surface mass balance of coastal West Antarctica resolved by regional climate modelling
  • Lenaerts, Jan T. M., Ligtenberg, Stefan R. M., Medley, Brooke, Van de Berg, Willem Jan, Konrad, Hannes, Nicolas, Julien P., Van Wessem, J. Melchior, Trusel, Luke D., Mulvaney, Robert, Tuckwell, Rebecca J., Hogg, Anna E., Thomas, Elizabeth R.
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