Estimated sea surface temperature at 1 km spatial resolution (20221028T093930Z)

The dataset consists of estimated sea surface temperature (SST) obtained as the output of a machine learning model. Thermal infrared data from the Sentinel-3 mission of the Copernicus programme of the European Union, together with in situ sea-truth temperature measurements provided by colleagues at UNIGE-DISTAV and ENEA, are used to train the model within a supervised machine learning framework Full metadata: https://erddap.s4raise.it/erddap/info/unige-diten_sea_surface_temperature_final_output_20221028T093930/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).本数据集包含由机器学习模型输出得到的海表面温度（sea surface temperature, SST）估算结果。本模型的训练采用欧盟哥白尼计划（Copernicus Programme）哨兵-3（Sentinel-3）任务获取的热红外数据，以及来自UNIGE-DISTAV与ENEA的同行提供的原位海洋实测温度数据，基于监督式机器学习框架完成训练。完整元数据请参见：https://erddap.s4raise.it/erddap/info/unige-diten_sea_surface_temperature_final_output_20221028T093930/index.html。本数据集属于RAISE Spoke 3项目的成果之一。RAISE是由意大利大学与研究部依据国家恢复与韧性计划（NRRP，任务4、组件2、投资1.5）资助的创新生态系统。