RSS Optimally Interpolated Microwave and Infrared Daily Sea Surface Temperature Analysis
d277008
<p>The through-cloud capabilities of satellite microwave radiometers provides a valuable picture of the global sea surface temperature (SST). To utilize this, scientists at Remote Sensing Systems (RSS) have created two Optimally Interpolated (OI) SST daily products, one using only microwave data at 25 km resolution and one using microwave and infrared data at 9 km resolution. These products are ideal for research activities in which a complete, daily SST map is more desirable than one with missing data due to orbital gaps or environmental conditions precluding SST retrieval. The 25 km microwave OI SST product contains the SST measurements from all operational radiometers. The 9 km microwave and infrared OI SST product combines the through-cloud capabilities of the microwave data with the high spatial resolution and near-coastal capability of the infrared SST data. All SST values are adjusted using a diurnal model to create a foundation SST. Improved global daily near real time (NRT) SSTs are useful for a wide range of scientific and operational activities.</p>
dataset
https://gdex.ucar.edu/datasets/d277008/
protocol: https
name: Dataset Description
description: Related Link
function: information
https://gdex.ucar.edu/datasets/d277008/dataaccess/
protocol: https
name: Data Access
description: Related Link
function: download
geoscientificInformation
dataset
revision
2021-03-30
SATELLITES > SATELLITES
revision
2025-11-21
TMI > TRMM Microwave Imager
MODIS > Moderate-Resolution Imaging Spectroradiometer
AMSR-E > Advanced Microwave Scanning Radiometer-EOS
WINDSAT > WindSat
AMSR2 > Advanced Microwave Scanning Radiometer 2
revision
2025-11-21
EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE
revision
2025-11-21
-180.0
180.0
90.0
-90.0
1998-01-01T1200+00
2025-10-28T1200+00
publication
2018-02-12
daily
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
name: NSF NCAR Geoscience Data Exchange
description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.
function: download
pointOfContact
2025-12-05T09:05:35Z