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

Entry ID: AE_DySno

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Summary

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.

Related URL

Link: GET DATA > ECHO

Description: Refine your granule search with ECHO's next generation Earth Science discovery tool (Reverb) using information from this record.

Geographic Coverage

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Spatial coordinates

N: 90.0

S: -90.0

E: 180.0

W: -180.0

Data Set Citation

Dataset Originator/Creator: A. Chang

Dataset Title: AMSR-E/Aqua Daily L3 Global Snow Water Equivalent EASE-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_dysno.html

Temporal Coverage

Start Date: 2002-06-19

Location Keywords

GEOGRAPHIC REGION > GLOBAL

Data Resolution

Latitude Resolution: 25 km
Longitude Resolution: 25 km
Temporal Resolution: daily

Science Keywords

CRYOSPHERE > SNOW/ICE > SNOW WATER EQUIVALENT

TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW WATER EQUIVALENT

ISO Topic Category

CLIMATOLOGY/METEOROLOGY/ATMOSPHERE

Platform

AQUA > Earth Observing System, AQUA

Instrument

AMSR-E > Advanced Microwave Scanning Radiometer-EOS

Project

EOS > Earth Observing System

EOSDIS > Earth Observing System Data Information System

ESIP > Earth Science Information Partners Program

CWIC > CEOS WGISS Integrated Catalog

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 (TL SIPS) 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 the 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.

Ancillary Keywords

AE_DySno

AMSR-E

Data Set Progress

IN WORK

Data Center

NSIDC Distributed Active Archive Center

Data Center URL: http://nsidc.org/daac/index.html
Dataset ID: AE_DySno1

Data Center Personnel
Name: NSIDC USER SERVICES Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc at 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
Dataset ID: AE_DySno1

Data Center Personnel
Name: NSIDC USER SERVICES Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc at 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 2.1

Distribution Format: HDF-EOS

Personnel

RICHARD KELLY

Role: INVESTIGATOR

Contact Address:

University of Waterloo

City: Waterloo

Province or State: Ontario

Postal Code: N2L 3G1

Country: Canada

Publications/References

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. ...

Extended Metadata Properties

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Creation and Review Dates

DIF Creation Date: 2004-02-24

Last DIF Revision Date: 2012-05-03

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