Estimated sea surface temperature at 1 km spatial resolution (20220719T091905Z)

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_20220719T091905/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估算海表温度（Sea Surface Temperature，SST）。本数据集采用欧盟哥白尼计划（Copernicus Programme）Sentinel-3任务的热红外数据，以及由UNIGE-DISTAV与ENEA机构的合作研究人员提供的原位实测海温数据，在监督式机器学习框架下训练该模型。完整元数据详见：https://erddap.s4raise.it/erddap/info/unige-diten_sea_surface_temperature_final_output_20220719T091905/index.html。本数据集属于RAISE Spoke 3项目的研究成果之一。RAISE是由意大利大学与研究部依据《国家恢复与韧性计划》（National Recovery and Resilience Plan，简称NRRP，任务4、组件2、投资1.5）资助的创新生态系统。