A python‐based modeling package for underwater acoustic backscatter from individual gas bubbles

Abstract Acoustic backscatter from gas bubbles is key to detecting and quantifying marine seeps and related processes, yet practical tools for target strength (TS) prediction remain limited. We present seaEchoTSCalculator , an open‐source Python package that unifies established theories for individual gas bubbles from Rayleigh to geometric regimes (practically for 1–1250 kHz echosounders). The package includes resonance estimation with thermal and surface tension corrections, a unified damping framework, and seven scattering formulations including Medwin–Clay, breathing mode, extended breathing mode, modal solutions as well as those with correction near bubble resonance. A companion SolidSphere module supports sonar calibration calculation for solid elastic spheres, with results verified against reference implementations. Application to the Woolsey Mound seep site in the Gulf of Mexico demonstrates that modeled TS profiles agree with EM302 multibeam observations, confirming that seaEchoTSCalculator provides a robust and extensible framework for broadband bubble acoustic analysis and model–data comparison.