hotspot_frontal_metrics_trends: Jupyter notebooks (Python) used to compute trends of frontal metrics and reproduce figures

This dataset includes the post-processed data and codes used for the paper titled "Global trends of fronts in a warming ocean and impacts on phytoplankton productivity" The ZIP file contains all files required for calculating trends of frontal metrics and reproducing all figures in Yang, K. et al. 2023: "Global trends of fronts in a warming ocean and impacts on phytoplankton productivity." The original data was obtained from NASA OB.DAAC (MODIS data), NASA SEDAC (world population data), and IMAS Metadata Catalogue (fishery landings data). A shapefile of global ocean warming hotspots provided by A. Hobday is also included. In the project that generated this data, we: 1) compute trends in frontal activity and chlorophyll in ocean warming hotspots; 2) classify global trends of frontal activity and chlorophyll based on commonality across oceanographic dynamical regions, and 3) explore implications for global fisheries.本数据集包含题为《变暖海洋中海洋锋面的全球变化趋势及其对浮游植物生产力的影响》（Global trends of fronts in a warming ocean and impacts on phytoplankton productivity）的论文所使用的后处理数据与代码。该ZIP压缩包包含了计算锋面指标变化趋势、复现Yang K. 等（2023）发表的该论文中所有图表所需的全部文件。原始数据分别获取自：NASA海洋生物学与生物地球化学分布式主动存档中心（NASA OB.DAAC，提供MODIS数据）、NASA社会经济数据与应用中心（NASA SEDAC，提供全球人口数据）以及澳大利亚海洋与南极研究所元数据目录（IMAS Metadata Catalogue，提供渔业捕捞上岸数据）。此外，数据集还包含由A. Hobday提供的全球海洋变暖热点区域shapefile文件。在本数据集的生成流程中，我们完成了三项核心工作：1）计算海洋变暖热点区域内的锋面活动与叶绿素浓度变化趋势；2）基于海洋动力区域的共性特征，对锋面活动与叶绿素浓度的全球变化趋势进行分类；3）探究该变化对全球渔业的潜在影响。