Chinese_Coastal_Ocean_fronts_dataset_2003_2022

# Dataset and Code for Front Detection (2003–2022) This repository provides seasonal composite datasets and frontal detection products used in the study. ## Seasonal Definition Seasonal composites are indexed as follows: - 01 → Spring (March–May)- 02 → Summer (June–August)- 03 → Autumn (September–November)- 04 → Winter (December–February) ## Contents ### 1. Raw DataSeasonal composite data (2003–2022):- SST- aph(443)- adg(443) Location:data/raw/ --- ### 2. Front Gradient Magnitude (FGM)Computed using the BOA algorithm (Belkin & O’Reilly, 2009) for all variables:- SST- aph(443)- adg(443) Location:data/FGM_BOA/ --- ### 3. Front Delineation ProductsDerived frontal maps based on different algorithms: - SST: CCA method - aph (443)& adg(443): adaptive Canny edge detection Location:data/fronts/ --- ## Algorithms - BOA and CCA implementations are available at:https://github.com/CoLAB-ATLANTIC/JUNO - The adaptive Canny method used for aph and adg is provided in:data/adaptive_canny_method.py --- ## Code Usage Example: ```bashpython adaptive_canny_method --input data/raw/aph(443) --output data/fronts/aph(443)_canny