Diurnal Variability of Submesoscale Chlorophyll-a Fronts Revealed by Hourly Geostationary Satellite Observation

[Software for front detection] We propose an optimized algorithm for detecting high-resolution chlorophyll-a (Chl-a) fronts using GK-2B/GOCI-II data. To enable automated application, we develop a graphical user interface (GUI), which also supports the detection of sea surface temperature (SST) fronts from GK-2A/AMI data. Users can select an input file containing two-dimensional data, specify whether to process Chl-a or SST, and set an output directory. The detection results are displayed as images in the right panel of the GUI and are saved as a NetCDF file (front_output.nc). The output file includes not only the detected fronts but also scalar variables such as the number of detected fronts (frt_number), the area of the fronts (frt_area), and the mean length of the detected fronts (frt_mean_length). Input file : (e.g. input_data_chla.nc / input_data_sst.nc) data: 2D array (single) representing Chlorophyll-a concentration or SST. Output file: front output.nc front : 2D array (int8), where 1 denotes a front and 0 denotes non-front. frt_number : scalar (double) representing the number of detected fronts. frt_area : scalar (double) representing the area of detected fronts. frt_mean_length : scalar (double) representing the mean length of detected fronts. [Data for figure] This dataset contains the processed data used to generate the figures in the manuscript and supporting information. The data have been organized by figure for clarity.