MODIS/Aqua Snow Cover Monthly L3 Global 0.05Deg CMG View Catalog Page Entry ID
MYD10CM
Summary
The MODIS/Aqua Snow Cover Monthly L3 Global 0.05Deg CMG (MYD10CM) 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.
Data are stored in HDF-EOS format, and are available from 04 July 2002 to present via FTP. Data can also be obtained in GeoTIFF format by ordering the data through the Data Pool.
Geographic Coverage
Spatial Coordinates: N: 90°
S: -90°
E: 180°
W: -180°
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Data Set Citation
Dataset Creator: Hall, D. K., V. V. Salomonson, and G. A. Riggs. Dataset Title: MODIS/Aqua Snow Cover Monthly L3 Global 0.05Deg CMG Dataset Release Date: 2006-12-18 Dataset Release Place: Boulder, Colorado USA Dataset Publisher: NSIDC: National Snow and Ice Data Center Version: 5 Online Resource: http://nsidc.org/data/myd10cm.html
Temporal Coverage
Start Date: 2000-02-24
Data Resolution
Latitude Resolution: 0.05 degrees Longitude Resolution: 0.05 degrees Temporal Resolution: 1 mon
Location Keywords
- GEOGRAPHIC REGION
GLOBAL LAND
Science Keywords
- Cryosphere
Snow/Ice Snow Cover
Ancillary Keywords
- Antarctic
- Arctic
- Climatology
- DAAC
- ECS
- EOSDIS
- Global Change
- Gridded
- NASA
- NSIDC
- Polar
- Remote Sensing
- Snow
- Snow Cover
- Imagery/Base Maps/Earth Cover
Platform
- AQUA
Earth Observing System, AQUA
Instrument
- MODIS
Moderate-Resolution Imaging Spectroradiometer
- SPECTRORADIOMETERS
Project
- EOSDIS
Earth Observing System Data Information System
- ESIP
Earth Science Information Partners Program
Quality
Quality indicators for MODIS snow data can be found in the following places: AutomaticQualityFlag and the ScienceQualityFlag metadata objects and their corresponding explanations; AutomaticQualityFlagExplanation and ScienceQualityFlagExplanation located in the CoreMetadata.0 global attributes; Custom local attributes associated with each Scientific Data Set, for example, Snow Cover; and the Snow Spatial QA field. These quality indicators are generated during production or in post-production scientific and quality checks of the data product.
The AutomaticQualityFlag is automatically set according to conditions for meeting data criteria in the snow mapping algorithm. In most cases, the flag is set to either Passed or Suspect, and in rare instances it may be set to Failed. Suspect means that a significant percentage of the data were anomalous and that further analysis should be done to determine the source of anomalies. The AutomaticQualityFlagExplanation contains a brief message explaining the reason for the setting of the AutomaticQualityFlag. The ScienceQualityFlag and the ScienceQualityFlagExplanation are set after production, either after an automated QA program is run or after the data product is inspected by a qualified snow scientist. Content and explanation of this flag are dynamic so it should always be examined if present.
Data Set Progress
in work
Originating Center
NSIDC_DAAC
Data Center
NASA DAAC at the National Snow and Ice Data Center Data Center URL: http://nsidc.org/daac/index.html
Data Center Personnel
Name: NSIDC User Services Phone: 1 303 492-6199 Fax: 1 303 492-2468 Email: nsidc@nsidc.org Contact Address:
- National Snow and Ice Data Center
- CIRES, 449 UCB
- University of Colorado
City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA
National Snow and Ice Data Center Data Center URL: http://nsidc.org
Data Center Personnel
Name: NSIDC User Services Phone: 1 303 492-6199 Fax: 1 303 492-2468 Email: nsidc@nsidc.org Contact Address:
- National Snow and Ice Data Center
- CIRES, 449 UCB
- University of Colorado
City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA
Distribution
Distribution Media: FTP Distribution Size: 1.0 - 50.00 MB Distribution Format: GeoTIFF
Distribution Media: FTP Distribution Size: 1.0 - 50.00 MB Distribution Format: HDF-EOS
Personnel
Dorothy K. Hall Role: INVESTIGATOR Contact Address:
- NASA Goddard Space Flight Center (GSFC)
- National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC)
- Mail stop 614.1
City: Greenbelt Province or State: MD Postal Code: 20771
Vince V. Salomonson Role: INVESTIGATOR Phone: 1 801 585-9492 Email: vincent.salomonson@utah.edu Contact Address:
- University of Utah
- Department of Meteorology
- University of Utah
- Department of Meteorology
- 135 S 1460 E, Rm 809
City: Salt Lake City Province or State: UT Postal Code: 84112 Country: US
George A. Riggs Role: INVESTIGATOR Phone: 1 301 614-5650 Email: George.A.Riggs@nasa.gov Contact Address:
- NASA Goddard Space Flight Center (GSFC)
- Science Systems and Applications, Inc.
- NASA Goddard Space Flight Center (GSFC)
- Science Systems and Applications, Inc.
- Code 614.1
City: Greenbelt Province or State: MD Postal Code: 20771 Country: USA
Related URL
VIEW PROJECT HOME PAGE MODIS Web Site at NSIDC
VIEW PROJECT HOME PAGE Sea Ice Products at NSIDC
VIEW PROJECT HOME PAGE The MODIS Data Web page.
VIEW PROJECT HOME PAGE The MODIS Project Home Web page.
Reference
Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) systems and operations concept. Greenbelt, MD: Goddard Space Flight Center. Hall, D. K., J. L. Foster, D. L. Verbyla, A. G. Klein, and C. S. Benson. 1998. Assessment of snow cover mapping accuracy in a variety of vegetation cover densities in central Alaska. Remote Sensing of the Environment 66:129-137. Hall, D. K., Jeffrey R. Key, Kimberly A. Casey, George A. Riggs, and Donald Cavalieri. May 2004. Sea ice surface temperature product from MODIS. IEEE Transactions on Geoscience and Remote Sensing 42:5.
Hall, D. K. and J. Martinec. 1985. Remote sensing of ice and snow. London: Chapman and Hall.
Hall, D. K., G. A. Riggs, and V. V. Salomonson. 1995. Development of methods for mapping global snow cover using Moderate Resolution Imaging Spectroradiometer (MODIS). Remote Sensing of the Environment 54(2):127-140.
Hall, D. K., G. A. Riggs, and V. V. Salomonson. September 2001. Algorithm Theoretical Basis Document (ATBD) for the MODIS Snow-, Lake Ice- and Sea Ice-Mapping Algorithms. Greenbelt, MD: Goddard Space Flight Center.
Hapke, B. 1993. Theory of reflectance and emittance spectroscopy. Cambridge: Cambridge University Press. Key, J. R., J. B. Collins, C. Fowler, and R. S. Stone. 1997. High latitude surface temperature estimates From thermal satellite data. Remote Sensing of the Environment 61:302-309.
Key, J. R., J. A. Maslanik, T. Papakyriakou, M. C. Serreze, and A. J. Schweiger. 1994. On the validation of satellite-derived sea ice surface temperature. Arctic 47:280-287.
Markham, B.L. and J.L. Barker. 1986. Landsat MSS and TM post-calibration dynamic ranges, exoatmospheric reflectances and at-satellite temperatures. EOSAT Technical Notes 1:3-8.
MODIS Characterization and Support Team (MCST). 2000. MODIS Level-1B product user's guide for Level-1B Version 2.3.x Release 2. MCST Document #MCM-PUG-01-U-DNCN.
Pearson II, F. 1990. Map projections: theory and applications. Boca Raton, FL: CRC Press, Inc.
Riggs, G. A., D. K. Hall, and V. V. Salomonson. February 2003. MODIS sea ice products user guide.
Riggs, G. A., D. K. Hall, and S. A. Ackerman. 1999. Sea ice extent and classification mapping with the Moderate Resolution Imaging Spectroradiometer Airborne Simulator. Remote Sensing of the Environment 68:152-163.
Scambos, Ted A., Terry M. Haran, and Robert Massom. In press. Validation of AVHRR and MODIS Ice Surface Temperature Products Using In Situ Radiometers. Annals of Glaciology 44.
Wiscombe, W. J. and S. G. Warren. 1980. A model for the spectral albedo of snow I: pure snow. Journal of the Atmospheric Sciences 37:2712-2733.
Metadata Name and Version
Metadata Name: CEOS IDN DIF Metadata Version: 9.7
Creation and Review Dates
DIF Creation Date: 2006-12-18 Last DIF Revision Date: 2013-04-03
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