Entry_ID: AE_5DSno
Entry_Title: AMSR-E/Aqua 5-Day L3 Global Snow Water Equivalent EASE-Grids
Group: Data_Set_Citation
   Dataset_Creator: Tedesco, M., R. Kelly, J. L. Foster, and A. T.C. Chang. 
   Dataset_Title: AMSR-E/Aqua 5-Day L3 Global Snow Water Equivalent EASE-Grids
   Dataset_Release_Date: 2004-01-01
   Dataset_Release_Place: Boulder, Colorado USA
   Dataset_Publisher: NSIDC DAAC: NASA DAAC at the National Snow and Ice Data Center
   Version: 2
   Online_Resource: http://nsidc.org/data/ae_5dsno.html
   Dataset DOI: http://dx.doi.org/10.5067/AMSR-E/AE_5DSNO.002
End_Group
Group: Personnel
   Role: Investigator
   First_Name: Richard
   Last_Name: Kelly
   Group: Contact_Address
      Address: University of Waterloo
      City: Waterloo
      Province_or_State: Ontario
      Postal_Code: N2L 3G1
      Country: Canada
   End_Group
End_Group
Group: Personnel
   Role: Investigator
   First_Name: James
   Middle_Name: L.
   Last_Name: Foster
   Email: James.L.Foster.1@gsfc.nasa.gov
   Phone: 1 301 614-5769 
   Fax: 1 301  614-5808 
   Group: Contact_Address
      Address: NASA Goddard Space Flight Center
      Address: Laboratory for Hydrospheric Processes
      Address: Code 974.0
      Address: NASA Goddard Space Flight Center
      City: Greenbelt
      Province_or_State: MD
      Postal_Code: 20771
      Country: USA
   End_Group
End_Group
Group: Personnel
   Role: Investigator
   First_Name: James
   Middle_Name: L.
   Last_Name: Foster
   Email: James.L.Foster.1@gsfc.nasa.gov
   Phone: 1 301 614-5769 
   Fax: 1 301  614-5808 
   Group: Contact_Address
      Address: NASA Goddard Space Flight Center
      Address: Laboratory for Hydrospheric Processes
      Address: Code 974.0
      Address: NASA Goddard Space Flight Center
      City: Greenbelt
      Province_or_State: MD
      Postal_Code: 20771
      Country: USA
   End_Group
End_Group
Group: Personnel
   Role: Technical Contact
   First_Name: NSIDC
   Last_Name: User Services
   Email: nsidc@nsidc.org
   Phone: 1 303 492-6199 x
   Fax: 1 303  492-2468 x
   Group: Contact_Address
      Address: National Snow and Ice Data Center
      Address: CIRES, 449 UCB
      Address: University of Colorado
      City: Boulder
      Province_or_State: CO
      Postal_Code: 80309-0449
      Country: USA
   End_Group
End_Group
Group: Personnel
   Role: Investigator
   First_Name: Marco
   Last_Name: Tedesco
   Group: Contact_Address
      Address: City University of New York and NASA GSFC
      Address: Department of Earth and Atmosphere Sciences
      City: New York
      Province_or_State: NY
      Postal_Code: 10031
      Country: USA
   End_Group
End_Group
Group: Parameters
   Category: EARTH SCIENCE
   Topic: Cryosphere
   Term: Snow/Ice
   Variable_Level_1: Snow Water Equivalent
End_Group
Group: Parameters
   Category: EARTH SCIENCE
   Topic: Terrestrial Hydrosphere
   Term: Snow/Ice
   Variable_Level_1: Snow Water Equivalent
End_Group
ISO_Topic_Category: Climatology/Meteorology/Atmosphere
Keyword: AE_DySno
Keyword: AMSR-E
Keyword: Aqua
Keyword: DAAC
Keyword: EOSDIS
Keyword: EOS PM-1
Keyword: Imagery
Keyword: NASA
Keyword: NSIDC
Keyword: Passive Microwave
Keyword: Radiance
Keyword: Remote Sensing
Keyword: Snow pack
Keyword: Snow Water Equivalent
Keyword: SWE
Keyword: SWEMAP
Keyword: Water Resources
Keyword: Water Storage
Keyword: Water Supply
Sensor_Name: AMSR-E > Advanced Microwave Scanning Radiometer-EOS
Source_Name: AQUA > Earth Observing System, AQUA
Group: Temporal_Coverage
   Start_Date: 2002-06-19
   Stop_Date: 2011-10-03
End_Group
Data_Set_Progress: in work
Group: Spatial_Coverage
   Southernmost_Latitude: -90
   Northernmost_Latitude: 90
   Westernmost_Longitude: -180
   Easternmost_Longitude: 180
End_Group
Group: Location
   Location_Category: GEOGRAPHIC REGION
   Location_Type: GLOBAL
End_Group
Group: Data_Resolution
   Latitude_Resolution: 25 km
   Longitude_Resolution: 25 km
   Temporal_Resolution: 1 day
End_Group
Project: EOS > Earth Observing System
Project: EOSDIS > Earth Observing System Data Information System
Project: ESIP > Earth Science Information Partners
Group: Quality

   Quality Assessment

   Each HDF-EOS file contains core metadata with Quality Assessment (QA) metadata 
   flags that are set by the Science Investigator-led Processing System (SIPS) at 
   the Global Hydrology and Climate Center (GHCC) prior to delivery to NSIDC. A 
   separate metadata file in XML format is also delivered to NSIDC with the 
   HDF-EOS file; it contains the same information as the core metadata. Three 
   levels of QA are conducted with the AMSR-E Level-2 and Level-3 products: 
   automatic, operational, and science QA. If a product does not fail QA, it is 
   ready to be used for higher-level processing, browse generation, active 
   science QA, archive, and distribution. If a granule fails QA, SIPS does not 
   send the granule to NSIDC until it is reprocessed. Level-3 products that fail 
   QA are never delivered to NSIDC (Conway 2002).

   Automatic QA

   Chang visually examined random samples of SWE products to ensure they were 
   consistent with an understanding of climate and that no gross errors were 
   present. Future validation will involve comparing retrieved SWE values with 
   estimates from airborne gamma observations over the U.S. (Carroll 1997) and 
   with snow gauge data (Carroll et al. 1995), as well as comparing snow extent 
   with MODIS snow maps (Chang and Rango 2000).

   Operational QA

   AMSR-E Level-2A data arriving at GHCC are subject to operational QA prior to 
   processing higher-level products. Operational QA varies by product, but it 
   typically checks the following criteria for a given file (Conway 2002):

       * File is correctly named and sized     * File contains all expected 
   elements     * File is in the expected format     * Required EOS fields of 
   time, latitude, and longitude are present and populated  * Structural metadata 
   is correct and complete     * The file is not a duplicate     * The HDF-EOS 
   version number is provided in the global attributes    * The correct number of 
   input files were available and processed

   Science QA AMSR-E Level-2A data arriving at GHCC are also subject to science 
   QA prior to processing higher-level products. If less than 50 percent of a 
   granule's data is good, the science QA flag is marked 'suspect' when the 
   granule is delivered to NSIDC. In the SIPS environment, the science QA 
   includes checking the maximum and minimum variable values, and percent of 
   missing data and out-of-bounds data per variable value. At the Science 
   Computing Facility (SCF), also at GHCC, science QA involves reviewing the 
   operational QA files, generating browse images, and performing the following 
   additional automated QA procedures (Conway 2002):

   * Historical data comparisons     * Detection of errors in geolocation     * 
   Verification of calibration data     * Trends in calibration data     * 
   Detection of large scatter among data points that should be consistent 
   Geolocation errors are corrected during Level-2A processing to prevent 
   processing anomalies such as extended execution times and large percentages of 
   out-of-bounds data in the products derived from Level-2A data.

   The Team Lead SIPS (TLSIPS) developed tools for use at SIPS and SCF for 
   inspecting the data granules. These tools generate a QA browse image in 
   Portable Network Graphics (PNG) format and a QA summary report in text format 
   for each data granule. Each browse file shows Level-2A and Level-2B data. 
   These are forwarded from Remote Sensing Systems (RSS) to GHCC along with 
   associated granule information, where they are converted to HDF raster images 
   prior to delivery to NSIDC.

   SWE is estimated for SD retrievals greater than 1 mm. Based on dthe 2002-2003 
   winter AMSR-E data and 38 coincident ground observations in the World 
   Meteorological Organization (WMO) Global Telecommunications System (GTS) 
   network, the standard error is 24.2 cm. Further validation is planned using 
   multiple local, regional, and global data sets.

   See NSIDC's AMSR-E Validation Data for information about data used to check 
   the accuracy and precision of AMSR-E observations.

End_Group
Data_Set_Language: English
Group: Data_Center
   Data_Center_Name: NASA DAAC > NASA DAAC at the National Snow and Ice Data Center
   Data_Center_URL: http://nsidc.org/daac/index.html
   Group: Personnel
      Role: Data Center Contact
      First_Name: NSIDC
      Last_Name: User Services
      Email: nsidc@nsidc.org
      Phone: 1 303 492-6199 
      Fax: 1 303  492-2468 
      Group: Contact_Address
         Address: National Snow and Ice Data Center
         Address: CIRES, 449 UCB
         Address: University of Colorado
         City: Boulder
         Province_or_State: CO
         Postal_Code: 80309-0449
         Country: USA
      End_Group
   End_Group
End_Group
Group: Data_Center
   Data_Center_Name: NSIDC > National Snow and Ice Data Center
   Data_Center_URL: http://nsidc.org
   Group: Personnel
      Role: Data Center Contact
      First_Name: NSIDC
      Last_Name: User Services
      Email: nsidc@nsidc.org
      Phone: 1 303 492-6199 
      Fax: 1 303  492-2468 
      Group: Contact_Address
         Address: National Snow and Ice Data Center
         Address: CIRES, 449 UCB
         Address: University of Colorado
         City: Boulder
         Province_or_State: CO
         Postal_Code: 80309-0449
         Country: USA
      End_Group
   End_Group
End_Group
Group: Distribution
   Distribution_Media: FTP
   Distribution_Size: 2.1 MB
   Distribution_Format: HDF-EOS
End_Group
Group: Reference

   Basist, A., N. C. Grody, T. C. Peterson, and C. N. Williams. 1998. Using the 
   Special Sensor Microwave Imager to Monitor Land Surface Temperatures, Wetness 
   and Snow Cover. Journal of Applied Meteorology 37(9): 888-911.

   Brodzik, M. J. 1997. EASE-Grid: A Versatile Set of Equal-Area Projections and 
   Grids. Boulder, CO, USA: National Snow and Ice Data Center.

   Brown, R. D. and R. O. Braaten, 1998. Spatial and Temporal Variability of 
   Canadian Monthly Snow Depths, 1946-1995. Atmosphere-Ocean 36: 37-45.

   Chang, A. T. C., and A. Rango. 2000. Algorithm Theoretical Basis Document for 
   the AMSR-E Snow Water Equivalent Algorithm, Version 3.1. Greenbelt, MD, USA: 
   NASA Goddard Space Flight Center. (view PDF file)

   Chang, A. T. C., J. L. Foster, Dorothy K. Hall, B. E. Goodison, A. E. Walker, 
   and J. R. Metcalfe. 1997. Snow Parameters Derived from Microwave Measurements 
   During the BOREAS Winter Field Experiment. Journal of Geophysical Research 
   102: 29663-29671.

   Chang, A. T. C., J. L. Foster, and Dorothy K. Hall. 1987. Nimbus-7 Derived 
   Global Snow Cover Parameters. Annals of Glaciology 9: 39-44.

   Chang, A. T. C., J. L. Foster, Dorothy Hall, A. Rango, and B. Hartline. 1982. 
   Snow Water Equivalence Determination by Microwave Radiometry. Cold Regions 
   Science and Technology 5: 259-267.

   Chang, A. T. C., R. E. J. Kelly, J. L. Foster, and Dorothy K. Hall. The 
   Testing of AMSR-E Snow Depth and Snow Water Equivalent Estimates in the 
   Northern Hemisphere. Poster presented at the AGU Fall Meeting, San Fransisco, 
   CA., 8-12 December 2003a.

   Chang, A. T. C., Richard E. J. Kelly, J. L. Foster, and Dorothy K. Hall. 
   Global SWE Monitoring Using AMSR-E Data. Poster presented at the Proceedings 
   of IGARSS, Toulouse, France, 21-25 July 2003

   Chang, A. T. C., Richard E. J. Kelly, J. L. Foster, and Dorothy K. Hall. 
   Estimation of Snow Depth from AMSR-E in the GAME-Siberia Experiment Region. 
   Poster presented at the Proceedings of IGARSS, Alaska, USA 2004. Carroll, T. 
   R. 1997. Integrated Ground-based, Airborne, and Satellite Snow Cover 
   Observations in the National Weather Service. 77th AMS Annual Meeting; 
   Symposium on Integrated Observing Systems, Long Beach, CA.

   Carroll, S. S., G. N. Day, N. Cressie, and T. R. Carroll. 1995. Spatial 
   Modeling of Snow Water Equivalent Using Airborne and Ground Based Snow Data. 
   Environmetrics 6: 127-139.

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

   Dewey, K. F. and R. Heim, Jr. 1981. Satellite Observations of Variations in 
   Northern Hemisphere Seasonal Snow Cover. NOAA Technical Report NESS 87.

   Foster, J. L., A. T. C. Chang, Dorothy K. Hall, and A. Rango. 1991. Derivation 
   of Snow Water Equivalent in Boreal Forests Using Microwave Radiometry. Arctic 
   44(1):147-152.

   Goodison, B., A.E. Walker, and F.W. Thirkettle. 1990. Determination of 
   Snowcover on the Canadian Prairies Using Passive Microwave Data. Proceedings 
   of the International Symposium on Remote Sensing and Water Resources. 
   Enschede, The Netherlands, 127-136.

   Grody, N. C. and A. N. Basist. 1997. Interpretation of SSM/I Measurements Over 
   Greenland. IEEE Transactions on Geoscience and Remote Sensing 35: 360-366.

   Hallikainen, M. T., and P. A. Jolma. 1986. Retrieval of Water Equivalent of 
   Snow Cover in Finland by Satellite Microwave Radiometry. Geoscience and Remote 
   Sensing: IEEE Transactions GE-24(6):855-862.

   Hansen, M., R. DeFries, J. R. Townshend, M. Carroll, C. Dimiceli, and R. 
   Sohlberg. 2003. 500m MODIS Vegetation Continuous Fields. College Park, 
   Maryland: The Global Land Cover Facility.

   Hansen, M. C., R. S. DeFries, J. R. G. Townshend, M. Carroll, C. Dimiceli, and 
   R. A. Sohlberg. 2003. Global Percent Tree Cover at a Spatial Resolution of 500 
   Meters: First Results of the MODIS Continuous Fields Algorithm. Earth 
   Interactions, 7 10:15.

   Josberger, E. G. and N. M. Mognard. 2000. A Passive Microwave Snow Depth 
   Algorithm with a Proxy for Snow Metamorphism. Proceedings of the Fourth 
   International Workshop on Applications of Remote Sensing in Hydrology, Santa 
   Fe, NM.

   Kelly, Richard E. J. and J. L. Foster. The AMSR-E Snow Water Equivalent 
   Product: Status and Future Development. Poster presented at the American 
   Geophysical Union Fall Meeting, San Francisco, CA., 5-9 December 2005a.

   Kelly, Richard E. J., J. L. Foster and Dorothy K. Hall. The AMSR-E Snow Water 
   Equivalent Product: Algorithm Development and Progress in Product Validation. 
   Poster presented at the Proceedings of the 28th General Assembly of the Union 
   of International Radio Science, New Delhi, India, 23-29 October 2005b.

   Kelly, Richard. E. J., A. T. C. Chang, L. Tsang, and J. L. Foster. 2003. A 
   Prototype AMSR-E Global Snow Area and Snow Depth Algorithm. IEEE Transactions 
   on Geoscience and Remote Sensing 41(2): 230-242.

   Kelly, Richard E. J., A. T. C. Chang, J. L. Foster, Dorothy K. Hall, B. b. 
   Stankov, and A. J. Gasiewski, A.J. Testing AMSR-E Snow Retrievals with Cold 
   Lands Processes Experiment Data. Poster presented at the AGU Fall Meeting, San 
   Fransisco, CA., 8-12 December 2003.

   Kelly, Richard E. J., A. T. C. Chang, J. L. Foster, and Dorothy K. Hall. The 
   Effect of Sub-pixel Areal Distribution of Snow on the Estimation of Snow Depth 
   from Spaceborne Passive Microwave Instruments. Poster presented at the 
   Proceedings of IGARSS, Toulouse, France, 21-25 July 2003. Knowles, K. 2004. 
   EASE-Grid Land Cover Data Resampled from Boston University Version of Global 1 
   km Land Cover from MODIS 2001, Version 4. Boulder CO, USA: National Snow and 
   Ice Data Center. Digital media.

   Krenke, A. 1998, updated 2004. Former Soviet Union Hydrological Snow Surveys, 
   1966-1996. Edited by NSIDC. Boulder, CO: National Snow and Ice Data Center. 
   Digital media.

   Kunzi, K. F., S. Patil and H. Rott. 1982. Snow-cover Parameters Retrieved from 
   Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) Data. Geoscience 
   and Remote Sensing: IEEE Transactions GE-20(4):452-467.

   Matzler, C. 1987. Applications of the Interaction of Microwaves with the 
   Natural Snow Cover. Remote Sensing Reviews Series, Vol. 2. London: Taylor and 
   Frances, Inc. Remote Sensing Rev., 2, 259-391.

   Pulliainen, J. T., J. Grandell, and M. T. Hallikainen. 1997. Retrieval of 
   surface temperature in boreal forest zone from SSM/I data. IEEE Transactions 
   on Geosciences and Remote Sensing 35: 1188-1200. Robinson, D. A. and G. Kukla. 
   1985. Maximum Surface Albedo of Seasonally Snow Covered Lands in the Northern 
   Hemisphere. Journal of Climate and Applied Meteorology 24: 402-411.

   Rott, H. and J. Aschbacher. 1989. Proceedings of the IAHS Third International 
   Assembly on Remote Sensing and Large Scale Global Processes, Baltimore, MD. 
   Publicaton No. 186.

   Sturm, M., J. Holmgren, and G. E. Liston. 1995. A Seasonal Snow Cover 
   Classification System for Local to Global Applications. Journal of Climate 8: 
   1261-1283.

   Sun, C. Y., C. M. U. Neale, and J. J. McDonnell. 1996. Snow Wetness Estimates 
   of Vegetated Terrain from Satellite Passive Microwave Data. Hydrologic 
   Processes 10: 1619-1628.

   Walker, A. E. and B. E. Goodison. 1993. Discrimination of Wet Snow Cover Using 
   Passive Microwave Satellite Data. Annals of Glaciology 17: 307-311.

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

End_Group
Group: 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.

   These Level-3 Snow Water Equivalent (SWE) data sets contain SWE data and 
   quality assurance flags mapped to Northern and Southern Hemisphere 25 km 
   Equal-Area Scalable Earth Grids (EASE-Grids). Data are stored in Hierarchical 
   Data Format - Earth Observing System (HDF-EOS) format, and are available from 
   19 June 2002 to 3 October 2011 via FTP.

End_Group
Group: Related_URL
   Group: URL_Content_Type
      Type: VIEW PROJECT HOME PAGE
   End_Group
   URL: http://nsidc.org/data/amsre/
   Description: AMSR-E Data at NSIDC
End_Group
Group: Related_URL
   Group: URL_Content_Type
      Type: VIEW PROJECT HOME PAGE
   End_Group
   URL: http://nsidc.org/daac/amsre/
   Description: AMSR-E web site at NSIDC
End_Group
Group: Related_URL
   Group: URL_Content_Type
      Type: VIEW PROJECT HOME PAGE
   End_Group
   URL: http://wwwghcc.msfc.nasa.gov/AMSR/
   Description: NASA AMSR-E web site
End_Group
IDN_Node: USA/NASA
Metadata_Name: CEOS IDN DIF
Metadata_Version: 9.7
DIF_Creation_Date: 2004-01-01
Last_DIF_Revision_Date: 2014-05-08
Group: DIF_Revision_History

    updated summary on catalog page - replaced "to the present" with "3 October 
   2011"

End_Group