Automated temporal front tracking toolbox in Matlab

This toolbox provides the Matlab scripts that achieve temporal tracking of coherently evolving density fronts in numerical modes. It consists of three components: (1) scripts to detect density fronts based on the Canny edge detection algorithm at each time step in the model outputs; (2) scripts to automatically track coherently evolving front in time; and (3) scripts to do front pruning and remove the incoherent frontal segment that shows inconsistent frontal propagation direction. A dataset ('G_time_rho.mat') containing modeled density at successive time steps is provided for demonstration. More details of this method can be found in our work that is expected to be published soon (Wu, X., F. Feddersen and S. N. Giddings, 2021, Automated temporal tracking of coherently evolving density fronts in numerical models, Journal of Atmospheric and Oceanic Technology, in revision). Contact Xiaodong Wu ([e-mail]) for any questions.本工具箱提供可实现数值模式中相干演化密度锋面时序追踪的Matlab脚本，其包含三个组成部分：(1) 基于Canny边缘检测（Canny edge detection）算法，针对模型输出各时间步检测密度锋面的脚本；(2) 用于在时间维度上自动追踪相干演化锋面的脚本；(3) 用于执行锋面修剪操作并移除传播方向不一致的非相干锋面片段的脚本。本次提供了名为"G_time_rho.mat"的数据集，内含连续时间步的模拟密度场，供演示使用。本方法的更多细节可参阅即将发表的相关研究（Wu, X., F. Feddersen 与 S. N. Giddings, 2021, 《数值模式中相干演化密度锋面的自动化时序追踪》，《大气与海洋技术杂志》，修回待刊）。如有任何疑问，请联系吴晓东（[e-mail]）。