From Australian Oceans Data Network

IMOS - Satellite Remote Sensing - SST - L3S - Single Sensor - 1 month - day and night time - Australia

Created 13/03/2025

Updated 27/03/2025

This is a single-sensor multi-satellite SSTfnd product for a one month period, derived using observations from AVHRR instruments on all available NOAA polar-orbiting satellites. It is provided as a 0.02deg x 0.02deg cylindrical equidistant projected map over the region 70°E to 170°W, 20°N to 70°S. Each grid cell contains the one month average of all the highest available quality SSTs that overlap with that cell, weighted by the area of overlap. The diagram at https://help.aodn.org.au/satellite-data-product-information/ indicates where this product fits within the GHRSST suite of NOAA/AVHRR products. The SSTfnd is derived by adding a constant 0.17 degC to the SSTskin observations after rejecting observations with low surface wind speeds (<6m/s by day and <2m/s at night) (see http://www.bom.gov.au/amoj/docs/2011/beggs.pdf). Matchups with buoy SSTfnd observations for the central date indicate typical 2014 biases of < 0.03 degC and standard deviations of 0.6 degC. Refer to the IMOS SST products web page at http://imos.org.au/sstproducts.html and Beggs et al. (2013) at http://imos.org.au/sstdata_references.html for further information.

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Additional Info

Field Value
Title IMOS - Satellite Remote Sensing - SST - L3S - Single Sensor - 1 month - day and night time - Australia
Language English
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/9e118be6-08d7-41df-aa0a-21285eaf2ea9
Contact Point
CSIRO Oceans & Atmosphere
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "IMOS - Satellite Remote Sensing - SST - L3S - Single Sensor - 1 month - day and night time - Australia". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/imos-satellite-remote-sensing-sst-l3s-single-sensor-1-month-day-and-night-time-australia

No duplicate datasets found.