2002-2022年中国近海表层海水CO2分压和CO2交换通量格点数据集

该数据集为根据收集的中国近海CO2分压观测数据，使用逐步集成广义回归-前反馈神经网络算法，拟合CO2分压与温度、盐度等其他环境参数间的非线性关系，再进行时空插值构建得到。时间范围为2002年8月至2022年12月，分辨率为每月。空间范围为中国近海，分辨率为4km。

This dataset was constructed using in-situ partial pressure of carbon dioxide (pCO₂) observation data collected from the China Seas. First, the nonlinear relationship between pCO₂ and other environmental parameters such as sea surface temperature and salinity was fitted via the stepwise ensemble generalized regression-feedforward neural network algorithm, followed by spatio-temporal interpolation to complete the dataset. Its temporal coverage spans from August 2002 to December 2022 with a monthly temporal resolution, while the spatial coverage covers the China Seas with a spatial resolution of 4 km.