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 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.

本数据集用于量化海洋表层海水海表温度（Sea Surface Temperature, SST）的长期季节变化特征。数据集的海表温度数据源自美国国家航空航天局（National Aeronautics and Space Administration, NASA）的MODIS（Aqua）卫星影像，处理过程采用了NASA的SeaDAS图像处理软件。本研究选取2002年7月至2017年12月的逐月海表温度影像，计算了四个南半球季节的标准差：冬季（6、7、8月）、春季（9、10、11月）、夏季（12月、次年1月、2月）及秋季（3、4、5月）。数据集覆盖范围涵盖澳大利亚全部专属经济区（Exclusive Economic Zone, EEZ）及其周边海域（包括南大洋）。本数据集的温度单位为摄氏度。本研究依托项目D1，获得了国家环境科学计划（National Environmental Science Program, NESP）海洋生物多样性中心的资助。