Direct observational evidence of strong CO2 uptake in the Southern Ocean

These are the eddy covariance air-sea CO2 flux dataset, the subsampled CO2 flux products, and the neural network-based interpolation of the SOCCOM-weighted and SOCAT plus SOCCOM datasets. These datasets are used in the article 'Direct observational evidence of strong CO2 uptake in the Southern Ocean'., , , # Direct observational evidence of strong CO2 uptake in the Southern Ocean [https://doi.org/10.5061/dryad.b2rbnzspm](https://doi.org/10.5061/dryad.b2rbnzspm) ## Description of the data and file structure SA_SO_EC_data.txt: Seven cruise datasets in the Southern Ocean from 2019 to 2020, including the hourly eddy covariance (Dong et al., 2021, ACP) and bulk air-sea CO2 flux measurements and environmental variables. SA_SO_subsamples.txt: Subsampled CO2 flux products according to the time and location of each hourly EC observation. The subsampled flux products include the SOCAT-based, SOCCOM-weighted, SOCAT plus SOCCOM-based, and model-based flux estimates. MPI_SOM-FFN_SOCAT.nc: The neural network-based interpolation of the SOCAT v2021 dataset until 2020. The SOCAT fCO2w estimates are first averaged in 1° by 1°, monthly bins. Air-sea fluxes are then calculated using the procedure as in Landschützer et al. (2016). MPI_SOM-FFN_SOCAT_Plus_SOCCOM.nc: The neural network-based interpolatio...本数据集包含涡度协方差（eddy covariance）海-气CO₂通量数据集、抽采样CO₂通量产品，以及基于神经网络对SOCCOM加权数据集与SOCAT联合SOCCOM数据集进行插值得到的产物。上述数据集均应用于论文《Direct observational evidence of strong CO₂ uptake in the Southern Ocean》。 [https://doi.org/10.5061/dryad.b2rbnzspm] ## 数据与文件结构说明 SA_SO_EC_data.txt：包含2019至2020年南大洋的7个航次数据集，涵盖逐小时涡度协方差与整体海-气CO₂通量实测数据及环境变量（引自Dong et al., 2021, ACP）。 SA_SO_subsamples.txt：根据每一组逐小时涡度协方差观测的时间与位置抽采样得到的CO₂通量产品，其中包含基于SOCAT、SOCCOM加权、SOCAT联合SOCCOM以及模式的通量估算结果。 MPI_SOM-FFN_SOCAT.nc：基于神经网络对截至2020年的SOCAT v2021数据集进行插值得到的产物。首先将SOCAT的fCO₂w估算值在1°×1°的月度网格中进行平均，随后参照Landschützer等人（2016）的方法计算海-气通量。 MPI_SOM-FFN_SOCAT_Plus_SOCCOM.nc：基于神经网络对SOCAT联合SOCCOM数据集进行插值得到的产物……