Estimated sea surface temperature at 1 km spatial resolution - Mondrian forest (20240307T094141Z)

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_MondrianForest_20240307T094141/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所得的估算海表温度（sea surface temperature, SST）。研究采用欧盟哥白尼计划（Copernicus programme）哨兵-3号（Sentinel-3）任务获取的热红外数据，以及来自日内瓦大学地球与环境科学与技术系（UNIGE-DISTAV）与意大利国家新技术、能源与可持续发展局（ENEA）的同仁提供的原位海温实测数据，在监督式机器学习框架下完成模型训练。完整元数据：https://erddap.s4raise.it/erddap/info/unige-diten_sea_surface_temperature_final_output_MondrianForest_20240307T094141/index.html。本数据集属于RAISE Spoke 3项目成果。RAISE是由意大利大学与研究部根据国家复苏与韧性计划（National Recovery and Resilience Plan, NRRP，任务4、组件2、投资1.5）资助的创新生态系统。