Identification

Title

RSS Optimally Interpolated Microwave and Infrared Daily Sea Surface Temperature Analysis

Alternative title(s)

d277008

Abstract

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.

Resource type

dataset

Resource locator

https://rda.ucar.edu/datasets/d277008/

protocol: https

applicationProfile: browser

name: Dataset Description

description: Related Link

function: information

https://rda.ucar.edu/datasets/d277008/dataaccess/

protocol: https

applicationProfile: browser

name: Data Access

description: Related Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2014-10-16

Keyword set

keyword value

SATELLITES > SATELLITES

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-11-27

Keyword set

keyword value

TMI > TRMM Microwave Imager

MODIS > Moderate-Resolution Imaging Spectroradiometer

AMSR-E > Advanced Microwave Scanning Radiometer-EOS

WINDSAT > WindSat

AMSR2 > Advanced Microwave Scanning Radiometer 2

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-12-09

Keyword set

keyword value

EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-12-04

Geographic location

West bounding longitude

-180

East bounding longitude

180

North bounding latitude

90

South bounding latitude

-90

Temporal reference

Temporal extent

Begin position

1998-01-01T12:00:00Z

End position

2024-11-17T12:00:00Z

Dataset reference date

date type

publication

effective date

2018-02-12

Frequency of update

daily

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

UCAR/NCAR - Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

telephone number

720-937-8442

facsimile number

303-497-1291

email address

zji@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

NCAR Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

facsimile number

303-497-1291

email address

rdahelp@ucar.edu

web address

https://rda.ucar.edu/

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

responsible party role

pointOfContact

Metadata date

2024-12-24T15:05:01Z

Metadata language