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 2016 are used to calculate the stan...
| Main Author: | |
|---|---|
| Format: | Dataset |
| Language: | English |
| Published: |
Commonwealth of Australia (Geoscience Australia)
2018
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.4225/25/5a4d7a8b03a96 http://pid.geoscience.gov.au/dataset/ga/115323 |
| 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 2016 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. |
|---|