Data and analysis codes for a study on Interannual pCO2 variability accelerates in global coastal oceans under climate warming

The datasets and analysis codes archived here were developed to investigate the study "Interannual pCO2 variability accelerates in global coastal oceans under climate warming". The datasets include observationally constrained pCO2 reconstructions and CMIP6 climate model outputs, enabling a consistent comparison of pCO2 variability between coastal and open-ocean regions across spatial and temporal scales. The accompanying codebase covers all major analysis steps, including data preprocessing, characterization of observed variability patterns, decomposition of pCO2 variability into thermal and non-thermal components, mechanism-oriented diagnostics, and figure generation. Together, these datasets and methods provide a reproducible framework for examining coastal–open-ocean contrasts in pCO2 interannual variability and for supporting future studies on the role of coastal oceans in the evolving global carbon cycle.本文存档的数据集与分析代码，是为了开展题为《气候变暖背景下全球近岸海域年际pCO2(pCO2)变化速率加快》的学术研究而开发。本数据集包含经观测约束的pCO2重建结果与CMIP6气候模式输出数据，可实现不同时空尺度下近岸海域与开阔大洋之间pCO2变化特征的一致性对比。配套代码库覆盖全部核心分析流程，涵盖数据预处理、观测变化格局的特征刻画、将pCO2变化分解为热成因与非热成因组分、面向机制的诊断分析以及图像生成。综上，本数据集与分析方法可提供一套可复现的研究框架，用于剖析近岸与开阔大洋在pCO2年际变化上的差异，并为未来探究近岸海域在动态演变的全球碳循环中所发挥的作用提供支撑。