MODIS Derived Sea Surface Temperature dataset: Seasonal Variations

The dataset measures the long-term seasonal variations of the sea surface temperature (SST) of ocean surface waters. They are derived from MODIS (aqua) images using NASA's SeaDAS image processing software. The monthly SST images between July 2002 and December 2017 are used to calculate the stan...

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Bibliographic Details
Other Authors: Commonwealth of Australia (Geoscience Australia) (pointOfContact), Commonwealth of Australia (Geoscience Australia) (author)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
oceans
SST
MODIS
Earth Sciences
National Environmental Science Program
Marine Biodiversity Hub
Published_External
Austral
Southern Ocean
Online Access:https://researchdata.edu.au/modis-derived-sea-seasonal-variations/1426007
Description
Summary:The dataset measures the long-term seasonal variations of the sea surface temperature (SST) of ocean surface waters. They are derived from MODIS (aqua) images using NASA's SeaDAS image processing software. The monthly SST images between July 2002 and December 2017 are used to calculate the standard deviations of the four austral seasons: winter (June, July, and August), spring (September, October and November), summer (December, January and February) and autumn (March, April and May). The extent of the dataset covers the entire Australian EEZ and surrounding waters (including the southern ocean). The unit of the dataset is Celsius degree. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

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