Aquarius L3 Polar-Gridded Weekly Normalized Radar Cross Section V005

Metadata Updated: March 23, 2019

The data set consists of weekly polar-gridded Level-3 products of Aquarius L-band Normalized Radar Cross Section (NRCS) retrievals from the Aquarius/Satélite de Aplicaciones Científicas (SAC-D) mission, developed collaboratively between the U.S. National Aeronautics and Space Administration (NASA) and Argentina's space agency, Comisión Nacional de Actividades Espaciales (CONAE).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources


Metadata Created Date August 1, 2018
Metadata Updated Date March 23, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date March 23, 2019
Publisher NSIDC
Unique Identifier C1000001581-NSIDC_ECS
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Citation Archived by National Aeronautics and Space Administration, U.S. Government, NSIDC. Brucker, L., E. Dinnat, and L. Koenig. 2015. Aquarius L3 Weekly Polar-Gridded Normalized Radar Cross Section. Version 5. indicate subset used. Boulder, Colorado USA: NASA National Snow and Ice Data Center Distributed Active Archive Center.
Datagov Dedupe Retained 20190322235447
Harvest Object Id ab5882b4-c94b-407f-9c55-968bf72e5c1e
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2015-07-27
Homepage URL
Language en-US
Metadata Type geospatial
Data Last Modified 2015-08-06
Program Code 026:001
Source Datajson Identifier True
Source Hash 18717748d576a6f468201b1b35608acea130516a
Source Schema Version 1.1
Spatial -180.0 -79.0 180.0 87.4
Temporal 2011-08-25T00:00:00Z/2015-06-07T23:59:59Z
Category geospatial

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