RSS SMAP Sea Surface Salinity Analysis
d285005
The Soil Moisture Active Passive (SMAP) satellite Sea Surface Salinity (SSS) V3.0 validated data are available from Remote Sensing Systems. The near-polar orbit of SMAP allows for complete global coverage of the oceans in 3 days with a repeat cycle of 8 days. Only Level-3 products of the SMAP SSS V3.0 validated release are archived in this dataset: * 8-day running averages * monthly averages * monthly (RF) rain-filtered averages All products are provided at two spatial resolutions: 40km and 70km. For most open ocean applications, the 70km products are the best to use as they have significantly lower noise. All files are in NetCDF 4 format and are CF/ACDD compliant.
dataset
https://rda.ucar.edu/datasets/d285005/
protocol: https
applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://rda.ucar.edu/datasets/d285005/dataaccess/
protocol: https
applicationProfile: browser
name: Data Access
description: Related Link
function: download
oceans
dataset
revision
2014-10-16
SMAP > Soil Moisture Active and Passive Observatory
revision
2024-07-23
EARTH SCIENCE > CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > SURFACE SALINITY
EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY
revision
2024-07-24
-180
180
90
-90
2015-03-31T12:00:00Z
2022-07-07T12:00:00Z
publication
2019-01-23
irregular
Creative Commons Attribution 4.0 International License
None
UCAR/NCAR - Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
720-937-8442
303-497-1291
pointOfContact
NCAR Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
name: NCAR Research Data Archive
description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.
function: downlaod
pointOfContact
2024-08-04T02:10:53Z