Code and data for: Choosing an operational inference pipeline for internal solitary wave detection in Sentinel-1 SAR imagery: EVA02+XGBoost versus a Julia Lux CNN (GMD, 2026)

Benchmark scripts, output data, and trained model weights accompanying the Geoscientific Model Development submission. Compares Pipeline A (Python EVA02-Large + XGBoost, 305M parameters) with Pipeline B (Julia Lux CNN SAR_CNN v2, 283,329 parameters) for operational internal solitary wave detection in Sentinel-1 SAR imagery.