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AMSR-E/Aqua Monthly L3 Global Snow Water Equivalent EASE-Grids

Federal Geographic Data Committee (FGDC) Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: Tedesco, M., R. Kelly, J. L. Foster, and A. T.C. Chang.
Publication_Date: 20040101
Title: AMSR-E/Aqua Monthly L3 Global Snow Water Equivalent EASE-Grids
Edition: 2
Geospatial_Data_Presentation_Form:
Series_Information:
Series_Name:
Issue_Identification:
Publication_Information:
Publication_Place: Boulder, Colorado USA
Publisher: NSIDC DAAC: NASA DAAC at the National Snow and Ice Data Center
Other_Citation_Details:
Online_Linkage: http://nsidc.org/data/AE_MoSno
Description:
Abstract:
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 the present via FTP.
Purpose:
Not Available
Supplemental_Information:
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.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20020619
Ending_Date: 20111001
Currentness_Reference:Unknown
Status:
Progress: In Work
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Description_of_Geographic_Extent:
Bounding_Coordinates:
West_Bounding_Coordinate: -180.0
East_Bounding_Coordinate: 180.0
North_Bounding_Coordinate: 90.0
South_Bounding_Coordinate: -90.0
Keywords:
Theme:
Theme_Keyword_Thesaurus: GCMD SCIENCE PARAMETERS
Theme_Keyword_Thesaurus: GCMD PLATFORM
Theme_Keyword_Thesaurus: GCMD INSTRUMENT
Theme_Keyword_Thesaurus: PROJECT
Theme_Keyword_Thesaurus: ANCILLARY KEYWORDS
Theme_Keyword_Thesaurus: ISO TOPIC CATEGORY
Theme_Keyword_Thesaurus: DATA SET LANGUAGE
Theme_Keyword: EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > SNOW WATER EQUIVALENT
Theme_Keyword: EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW WATER EQUIVALENT
Theme_Keyword: AQUA > EARTH OBSERVING SYSTEM, AQUA
Theme_Keyword: AMSR-E > ADVANCED MICROWAVE SCANNING RADIOMETER-EOS
Theme_Keyword: EOS > EARTH OBSERVING SYSTEM
Theme_Keyword: Ae_dysno
Theme_Keyword: Amsr-e
Theme_Keyword: Aqua
Theme_Keyword: Daac
Theme_Keyword: Eosdis
Theme_Keyword: Eos Pm-1
Theme_Keyword: Imagery
Theme_Keyword: Nasa
Theme_Keyword: Nsidc
Theme_Keyword: Passive Microwave
Theme_Keyword: Radiance
Theme_Keyword: Remote Sensing
Theme_Keyword: Snow Pack
Theme_Keyword: Snow Water Equivalent
Theme_Keyword: Swe
Theme_Keyword: Swemap
Theme_Keyword: Water Resources
Theme_Keyword: Water Storage
Theme_Keyword: Water Supply
Theme_Keyword: CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
Theme_Keyword: ENGLISH
Place:
Place_Keyword_Thesaurus: GCMD
Place_Keyword: GEOGRAPHIC REGION > GLOBAL
Temporal:
Temporal_Keyword_Thesaurus: GCMD
Temporal_Keyword: 1 Day
Access_Constraints: Not Available
Use_Constraints:
Not Available
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: NSIDC USER SERVICES
Contact_Position: TECHNICAL CONTACT
Contact_Address:
Address_Type: Mailing and Physical Address
Address: National Snow and Ice Data Center
Address: CIRES, 449 UCB
Address: University of Colorado
City: Boulder
State_or_Province: CO
Postal_Code: 80309-0449
Country: USA
Contact_Voice_Telephone: +1 (303) 492-6199
Contact_Facsimile_Telephone: +1 (303) 492-2468
Contact_Electronic_Mail_Address: nsidc@nsidc.org
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
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.
Logical_Consistency_Report:
Not Available
Completeness_Report:
Not Available
Lineage:
Process_Step:
Process_Description:
Not Available
Process_Date: Unknown
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Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 25 km
Longitude_Resolution: 25 km
Geographic_Coordinate_Units: Decimal degrees
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Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: NSIDC_DAAC > NSIDC Distributed Active Archive Center
Contact_Person: NSIDC USER SERVICES
Contact_Position: DATA CENTER CONTACT
Contact_Address:
Address_Type: Mailing and Physical Address
Address: National Snow and Ice Data Center
Address: CIRES, 449 UCB
Address: University of Colorado
City: Boulder
State_or_Province: CO
Postal_Code: 80309-0449
Country: USA
Contact_Voice_Telephone: +1 (303) 492-6199
Contact_Facsimile_Telephone: +1 (303) 492-2468
Contact_Electronic_Mail_Address: nsidc@nsidc.org
Resource_Description: AE_MoSno
Distribution_Liability:
Not Available
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: HDF-EOS
Transfer_Size: 2.1 MB
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
http://nsidc.org/daac/index.html
Access_Instructions:
DATA CENTER URL
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
http://nsidc.org/data/amsre/index.html
Access_Instructions:
AMSR-E Web site at NSIDC
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
http://wwwghcc.msfc.nasa.gov/AMSR/
Access_Instructions:
NASA AMSR-E Web site
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
http://nsidc.org/data/amsre/
Access_Instructions:
AMSR-E Data at NSIDC
Fees: Not Available
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Metadata_Reference_Information:
Metadata_Date: 20040101
Metadata_Review_Date: 20140404
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: GCMD User Support Office
Contact_Organization: NASA Global Change Master Directory
Contact_Address:
Address_Type: Mailing and Physical Address
Address: Not Available
City: Lanham
State_or_Province: MD
Postal_Code: 20706
Country: USA
Contact_Voice_Telephone: Not Available
Contact_Electronic_Mail_Address: gcmduso@gcmd.gsfc.nasa.gov
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
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