1993-2019 hydrographic profiles and colocated satellite data in the Gulf Stream

this dataset contains a selection of the cora database (http://doi.org/10.17882/46219) for the gulf stream extension region, with several gridded products colocated at the time and location of these hydrographic profiles: bathymetry, mdt, sst, sla and its derivatives (ugos, ugosa, vgos, vgosa). the selection of cora hydrographic profils is done for 1993-2019, down to 1000m (only profiles extending between 25 and 1000m are kept) and with qc = 1 for both temperature and salinity measurements. this dataset was used to train the neural network presented in pauthenet et al (2022, https://doi.org/10.5194/egusphere-2022-25). the osnet neural nework was trained to learn the link between the hydrographic profiles (target) and the gridded data (input).

本数据集选取了科拉数据库（http://doi.org/10.17882/46219）中关于墨西哥湾流扩展区域的部分，并收集了在相应水文剖面时间和地点同期生成的多种网格化产品：海底地形、平均深度温度（MDT）、海表温度（SST）、海面高度（SLA）及其衍生变量（Ugo、Ugoa、Vgo、Vgoa）。科拉水文剖面的选取时间范围为1993至2019年，深度降至1000米（仅保留25至1000米之间的剖面），且温度和盐度测量均经过质量控制（QC）评估为1级。该数据集被用于训练Pauthenet等人在2022年发表的神经网络模型（https://doi.org/10.5194/egusphere-2022-25）。OSNet神经网络被训练以学习水文剖面（目标）与网格化数据（输入）之间的关联。