AMSR-E/Aqua Daily L3 6.25 km 89 GHz Brightness Temperature Polar Grids

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Entry ID

AE_SI6

Summary

The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA Earth Observing System (EOS) Aqua satellite provides global passive microwave measurements of terrestrial, oceanic, and atmospheric variables for the investigation of water and energy cycles.

This Level-3 gridded product (AE_SI6) includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at 6.25 km spatial resolution. This product is an intermediate product during processing of AMSR-E Level-3 sea ice products at 12.5 km and 25 km resolution. All variables include daily average, daily ascending and descending horizontally and vertically polarized brightness temperatures. Data are stored in HDF-EOS format and are available from 19 June 2002 to present via FTP.

Geographic Coverage

 

Spatial Coordinates:
N: -39.23°     S: -90°     E: 180°     W: -180°    
N: 90°     S: 30.98°     E: 180°     W: -180°    

Data Set Citation

Dataset Creator: D. Cavalieri and J. Comiso
Dataset Title: AMSR-E/Aqua Daily L3 6.25 km 89 GHz Brightness Temperature Polar Grids
Dataset Release Date: 2004-01-01
Dataset Release Place: Boulder, CO U.S.A.
Dataset Publisher: National Snow and Ice Data Center (NSIDC)
Version: 2
Online Resource: http://nsidc.org/data/ae_si6.html

Temporal Coverage

Start Date: 2002-06-19

Location Keywords

  • Geographic Region Polar

Science Keywords

  • Spectral/Engineering Microwave Brightness Temperature
  • Spectral/Engineering Microwave Microwave Imagery

Ancillary Keywords

  • AE_SI6
  • AMSR-E
  • Aqua
  • BRIGHTNESS TEMPERATURES
  • DAAC
  • EOS PM-1
  • EOSDIS
  • Imagery
  • NASA
  • NSIDC
  • Passive Microwave Radiation
  • Radiance
  • Remote Sensing
  • Tb

ISO Topic Category (View Definitions)

  • Climatology/Meteorology/Atmosphere

Platform

  • AQUA Earth Observing System, AQUA

Instrument

  • AMSR-E Advanced Microwave Scanning Radiometer-EOS

Project

  • EOS Earth Observing System

Quality

Out-of-bounds Level-2A TBs are screened out before TBs are interpolated to the 6.25 km grid.

Data Set Progress

IN WORK

Data Center

National Snow and Ice Data Center
Data Center URL: http://nsidc.org
Data Set ID: AE_SI61

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 Set ID: AE_SI61

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: Each daily granule is approximately 46 MB
Distribution Format: HDF-EOS

Personnel

DONALD CAVALIERI
Role: INVESTIGATOR
Phone: (301) 614-5901
Fax: (301) 614-5644
Email: don@cavalieri.gsfc.nasa.gov
Contact Address:
Laboratory for Hydrospheric Processes
NASA/Goddard Space Flight Center
Code 971
City: Greenbelt
Province or State: MD
Postal Code: 20771

JOSEPHINO 'JOEY' C. COMISO
Role: INVESTIGATOR
Phone: 301-286-9135
Contact Address:
Code 671 NASA,
Goddard Space Flight Center
City: Greenbelt
Province or State: MD
Postal Code: 20771

Thorsten Markus
Role: INVESTIGATOR
Contact Address:
Goddard Space Flight Center
Code 975
City: Greenbelt
Province or State: MD
Postal Code: 20771
Country: USA

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

VIEW PROJECT HOME PAGE
AMSR-E web site at NSIDC

VIEW RELATED INFORMATION
NASA AMSR-E web site

Reference

Cavalieri, D. and J. Comiso. 2000. Algorithm Theoretical Basis Document for the AMSR-E Sea Ice Algorithm, Revised December 1. Landover, MD, USA: Goddard Space Flight Center.

Cavalieri, D.J., K.M. St. Germain, and C.T. Swift. 1995. Reduction of weather effects in the calculation of sea ice concentration with the DMSP SSM/I. Journal of Glaciology 41(139): 455-464.

Cavalieri, D.J., P. Gloersen, and W.J. Campbell. 1984. Determination of sea ice parameters with the NIMBUS-7 SMMR. Journal of Geophysical Research 89(D4):5355-5369.

Comiso, J., D. Cavalieri, and T. Markus. 2003. Sea ice concentration, ice temperature, and snow depth using AMSR-E data. IEEE Transactions on Geoscience and Remote Sensing 41(2): 243-252.

Comiso, J., and K. Steffen. 2001. Studies of Antarctic sea ice concentrations from satellite data and their applications. Journal of Geophysical Research 106(C12): 31,361-31,385.

Comiso, J.C. 1995. SSM/I ice concentrations using the Bootstrap Algorithm. NASA RP 1380, 50 pp.

Conway, D. 2002. Advanced Microwave Scanning Radiometer - EOS Quality Assurance Plan. Huntsville, AL: Global Hydrology and Climate Center.

Gloersen P. and D.J. Cavalieri. 1986. Reduction of weather effects in the calculation of sea ice concentration from microwave radiances. Journal of Geophysical Research 91(C3):3913-3919.

Kummerow, C. 1993. On the accuracy of the Eddington approximation for radiative transfer in the microwave frequencies. Journal of Geophysical Research 98: 2757-2765.

Markus, Thorsten and Donald J. Cavalieri. 2008. Supplement AMSR-E Algorithm Theoretical Basis Document: Sea Ice Products. Greenbelt, MD, USA: Goddard Space Flight Center. (view pdf)

Markus, T. and D. Cavalieri. 1998. Snow depth distribution over sea ice in the Southern Ocean from satellite passive microwave data. Antarctic Sea Ice: Physical Processes, Interactions, and Variability. Antarctic Research Series 74:19-39. Washington, DC, USA: American Geophysical Union.

Markus, T., and D. Cavalieri. 2000. An enhancement of the NASA Team sea ice algorithm. IEEE Transactions on Geoscience and Remote Sensing 38: 1387-1398.

Pearson, F. 1990. Map projections: Theory and applications. CRC Press. Boca Raton, Florida. 372 pages.

Snyder, J.P. 1987. Map projections - a working manual. U.S. Geological Survey Professional Paper 1395. U.S. Government Printing Office. Washington, D.C. 383 pages.

Snyder, J. P. 1982. Map Projections Used by the U.S. Geological Survey. U.S. Geological Survey Bulletin 1532.

For more information regarding related publications, see the Research Using AMSR-E Data Web page.

Metadata Name and Version

Metadata Name: CEOS IDN DIF
Metadata Version: 9.7

Creation and Review Dates

DIF Creation Date: 2004-02-18
Last DIF Revision Date: 2008-09-05

Metadata Views

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