DATASET

GMIS - PATHFINDER Monthly mean sea surface temperature (4km) in degree-C

Collection: GMIS : Global Marine Information System 

Description

Monthly mean sea surface temperature (in degree-C at 4km resolution) derived from the PATHFINDER sensor (Satellite remote sensing Ocean color data): Sea surface temperature is the temperature of the water close to the sea surface.

SST is a standard product from satellite-based thermal infra-red sensors, and optical sensors complemented with infrared bands.

Contact

Email
jrc-emis (at) ec.europa.eu

Contributors

  • Frederic Melin

How to cite

Melin, Frederic (2013): GMIS - PATHFINDER Monthly mean sea surface temperature (4km) in degree-C. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/1eb99ac9-df2f-451f-8eb9-3e019c1351ef

Keywords

climate change coastal environment GIS digital format marine environment marine monitoring ocean color sea surface temperature sea water protection satellite observations

Data access

GMIS - Download access (GMIS_P_SST)
URL 
  • Direct NetCDF download

Spatial coverage

Type Value
GML
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GML
<gml:Polygon xmlns:gml="http://www.opengis.net/gml/3.2">  <gml:exterior>    <gml:LinearRing>      <gml:posList>-180 90 180 90 180 -90 -180 -90 -180 90</gml:posList>    </gml:LinearRing>  </gml:exterior></gml:Polygon>
WKT
POLYGON ((-180 90, 180 90, 180 -90, -180 -90, -180 90))

Temporal coverage

From date To date
1981-09-01 2009-12-31

Lineage information

General information: Monthly mean sea surface temperature (SST) in deg. Celsius (degree-C) derived from the NOAA - Advanced Very High Resolution Radiometer (AVHRR) satellite series. Processing information: The data correspond to a re-analysis of the AVHRR data stream conducted by the University of Miami's Rosenstiel School of marine and atmospheric science (RSMAS) and the NOAA National Oceanographic Data Centre (NODC). SST is calculated according to a nonlinear SST (NLSST) algorithm originally described in Walton et al. 1998. Temporal characteristics: the data consist of 9km-binned monthly SST (in degree-C) extracted from the version 5.2 AVHRR Pathfinder project. Time series covers three decades from Sept. 1981, and is regularly updated. Description of observation methods/instruments: AVHRR is a broad-band scanner, sensing from 0.6 µm to 12 µm, in the visible, near-infrared, and thermal infrared portions of the electromagnetic spectrum. The sensor is carried on NOAA's Polar Orbiting Environmental Satellites (POES) series, starting with TIROS-N in 1978. The latest sensor is AVHRR/3 on NOAA-19 platform, launched in Feb. 2009. The strength of infrared radiations emitted by the ocean surface is a function of the temperature, i.e. the higher the temperature, the greater the radiant energy from the sea surface. SST is thus retrieved after correcting the water-surface emitted signal from the contribution due to the atmosphere. The processing includes a cloud screening procedure to avoid cloud temperature contaminated pixels. Quality/accuracy/calibration information: The satellite-derived SST product represents the 'skin temperature', that is the temperature of the top millimeters of the ocean surface. Comparisons with field measurements of bulk and skin temperature resulted in an absolute uncertainty of <0.2K. References: CC Walton et al. 1998. The development and operational application of non-linear algorithms for the measurements of sea surface temperatures with the NOAA polar-orbiting environmental satellites. J. Geophys. Res. 103 (C12): 27999-28012. KA Kilpatrick et al. (2001). Overview of the NOAA/NASA Advance Very High Resolution Radiometer Pathfinder algorithm for sea surface temperature and associated matchup database. J. Geophys. Res. C106:9179-9197.

Additional information

Published by
European Commission, Joint Research Centre
Created date
2020-11-23
Modified date
2020-11-23
Issued date
2013-08-29
Landing page
http://gmis.jrc.ec.europa.eu/ 
Language(s)
English
Data theme(s)
Environment
Update frequency
unknown
Identifier
http://data.europa.eu/89h/1eb99ac9-df2f-451f-8eb9-3e019c1351ef
Popularity