1992-2020 Global Ocean Carbon Dioxide Partial Pressure Grid Data Products
收藏地球大数据科学工程2022-10-17 更新2024-10-12 收录
下载链接：
https://data.casearth.cn/item/6336a41e819aec3abea17d81
下载链接
链接失效反馈官方服务：
资源简介：
By combining the stepwise regression method with the feedforward neural network,we have constructed a stepwise feedforward neural network fitting self algorithm to select prediction parameters closely related to the partial pressure of carbon dioxide in surface seawater in different regions of the global ocean. We divided the global ocean into 11 regions using self-organizing map neural network,and selected the combination of prediction parameters in each region to minimize the average error of carbon dioxide partial pressure prediction. Based on these prediction parameters,the monthly global ocean surface seawater CO2 partial pressure of 1 ° from January 1992 to December 2020 is constructed by using the feedforward neural network × 1 ° grid point data. The average error with the original dataset SOCAT is 12.44 μ ATM,standard error is 19.41 μ atm.
创建时间：
2022-09-28
