MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Night, Version 5

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Entry ID

MOD29P1NV5

Summary

MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Night (MOD29P1N) data set contains fields for Ice Surface Temperature (IST) and IST Spatial Quality Assessment (QA) in Hierarchical Data Format-Earth Observing System (HDF-EOS) format, along with corresponding metadata. The field Sea Ice by Ice Surface Temperature that is in Version 4 (V004) was removed from Version 5 (V005). MOD29P1N V005, the latest version of the Moderate Resolution Imaging Spectroradiometer (MODIS) data, consists of 954 x 954 km files of 1 km resolution data gridded in the Lambert Azimuth Equal Area map projection.

Data are stored in HDF-EOS format, and are available from 24 February 2000 to present via FTP. Data can also be obtained in GeoTIFF format by ordering the data through the Data Pool.

Data Set Citation

Dataset Creator: D. Hall, V. Salomonson
Dataset Title: MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Night, Version 5
Dataset Release Date: 2006-12-18
Dataset Release Place: Boulder, CO U.S.A.
Dataset Publisher: National Snow and Ice Data Center (NSIDC)
Version: 5
Online Resource: http://nsidc.org/data/mod29p1nv5.html

Temporal Coverage

Start Date: 2000-02-24

Data Resolution

Latitude Resolution: 1 km
Longitude Resolution: 1 km
Temporal Resolution: Daily

Location Keywords

• Geographic Region Global Ocean

Science Keywords

• Cryosphere Sea Ice Ice Extent
• Cryosphere Sea Ice Ice Temperature
• Oceans Sea Ice Ice Extent
• Oceans Sea Ice Ice Temperature

Ancillary Keywords

• Antarctic
• Arctic
• Climatology
• DAAC
• EASE-Grid
• ECS
• EOSDIS
• Global Change
• Gridded
• Ice Surface Temperature
• IST
• NASA
• NSIDC
• Polar
• Remote Sensing
• Sea Ice
• Swath

ISO Topic Category (View Definitions)

• Climatology/Meteorology/Atmosphere

Platform

• TERRA Earth Observing System, TERRA (AM-1)

Instrument

• MODIS Moderate-Resolution Imaging Spectroradiometer
• SPECTRORADIOMETERS

Project

• EOSDIS Earth Observing System Data Information System
• ESIP Earth Science Information Partners Program

Quality

All MODIS/Terra sea ice products are considered validated or at stage 2 meaning that accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation campaigns.

Quality indicators for MODIS sea ice data can be found in the following three 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 SDS, for example Ice Surface Temperature * The Pixel QA SDS that accompanies each data field, for example, Ice Surface Temperature Spatial QA.

These quality indicators are generated during production or in post-production scientific and quality checks of the data product. For more information on local and global attributes, go to one of the following links:

* MOD29P1N Local Sea Ice Attributes, Version 5 * MOD29P1N Global Sea Ice Attributes, Version 5

The AutomaticQualityFlag is automatically set according to conditions for meeting data criteria in the sea ice 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 maybe updated after production, either after an automated QA program is run or after the data product is inspected by a qualified scientist. Content and explanation of this flag are dynamic so it should always be examined if present in the external metadata file. A sampling of products will be inspected. Random sampling or support of specific events, such as field campaigns, may also be conducted.

The IST Spatial QA data field provides additional information on algorithm results for each pixel within a spatial context, and are used as a measure of usefulness for sea ice data. QA data are stored as coded integer values and tells if algorithm results were good or not, or if other defined conditions were encountered (Riggs, Hall, and Salomonson 2003).

See the MODIS Land Quality Assessment Web page for further details.

Data Set Progress

IN WORK

Data Center

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

NSIDC Distributed Active Archive Center
Data Center URL: http://nsidc.org/daac/index.html

Data Center Personnel

Name: NSIDC DAAC 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: 0.05 - 1.5 MB
Distribution Format: GeoTIFF

Distribution Media: FTP
Distribution Size: 0.05 - 1.5 MB
Distribution Format: HDF-EOS

Personnel

Dorothy K. Hall
Role: INVESTIGATOR
Contact Address:
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
Contact Address:
Room 809 WBB
Department of Meteorology
University of Utah
City: Salt Lake City
Province or State: UT
Postal Code: 84112
Country: US

George A. Riggs
Role: INVESTIGATOR
Contact Address:
NASA Goddard Space Flight Center (GSFC)
Science Systems and Applications, Inc.
Mail stop 614.1
City: Greenbelt
Province or State: MD
Postal Code: 20771

NSIDC USER SERVICES
Role: TECHNICAL CONTACT
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

Related URL

http://nsidc.org/daac/modis/

Reference

Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) Systems and Operations Concept. Greenbelt, MD: Goddard Space Flight Center. Hall, Dorothy 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, Dorothy 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, Dorothy K. and J. Martinec. 1985. Remote Sensing of Ice and Snow. London: Chapman and Hall.

Hall, Dorothy K., George A. Riggs, and Vincent 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, Dorothy K., George A. Riggs, and Vincent 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, Jeffrey 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, Jeffrey R., J. A. Maslanik, T. Papakyriakou, Mark 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. MODIS Science and Instrument Team. MODIS Web. July 2003. Accessed October 2000.

Pearson II, F. 1990. Map Projections: Theory and Applications. Boca Raton, FL: CRC Press, Inc.

Riggs, George A., Dorothy K. Hall, and Vincent V. Salomonson. December 2006. MODIS Sea Ice Products User Guide to Collection 5. http://nsidc.org/data/docs/daac/modis_v5/dorothy_ice_doc.pdf

Riggs, George A., Dorothy 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. Snyder, John P. 1987. Map Projections: a Working Manual. U. S. Geological Survey Professional Paper 1395. Department of the Interior. Washington, D. C.

United States Geological Survey. 2003. Lambert Azimuthal Equal Area Map Projections. http://erg.usgs.gov/isb/pubs/MapProjections/projections.html#lambert. Accessed April 2007.

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: 2008-03-31

DIF Text-Only

Directory Interchange Format (DIF) in plain text

DIF XML

Directory Interchange Format (DIF) in Extensible Markup Language (XML)

FGDC HTML

U.S. Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM)