This README file was generated on 2022-04-05 by Knut Ola Dølven.

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GENERAL INFORMATION

// Repository for code and data accompanying Dølven et al., (2025) (see bottom for publication info) // For the script to work, it needs to call the akd_estimator function located here: https://github.com/KnutOlaD/akd_estimator // See concentration_flux_modelling.py for the project source path to make sure the import is working correctly // There is a future plan for making a package for the akd_estimator, which will make this process easier... // Contents:

// Contact Information // Name: Knut Ola Dølven // Institution: UiT, The Arctic University of Tromsø // Email: knut.o.dolven@uit.no // ORCID: 0000-0002-5315-4834

// Contributors (code): Knut Ola Dølven, Håvard Espenes (https://github.com/HvardE) // Contributors (method developement): Knut Ola Dølven, Håvard Espenes, Alfred Hanssen, Muhammed Fatih Sert, Magnus Drivdal, Achim Randelhoff, Bénédicte Férré

// For date of data collection, geographic location, funding sources, and description of data: See Dølven et al. (2025)

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METHODOLOGICAL INFORMATION

A model framework for simulating dissolved gas dispersion in marine environments using a Lagrangian particle approach with adaptive kernel density estimation (KDE) and flexible inclusion of process modules See Dølven et al. (2025) for a full detailed description.

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DATA FILES, AND FOLDERS OVERVIEW

Main Folders

• Atmosphere/ - Contains atmospheric data and related processing scripts
• concentration_estimation/ - Core implementation of concentration modeling and visualization
• figures/ - Figures showing the effect of using different fallback values for diffusivity in OpenDrift
• fvtools/ - Support scripts used when setting up particle tracking scenatios
• opendrift/ - OpenDrift is a software package for modeling the trajectories and fate of objects or substances drifting in the ocean (or even in the atmosphere).
• particle_profiles/ - Particle release profiles (derived from M2PG1 output)
• norkyst/ - Contains a python class to access ROMS data (the NorKyst model) stored on norwegian met office servers
• pythondefs/ - Contains a definitions file to create a singularity container used to run python
• runscripts/ - Scripts used to run the particle tracking (opendrift) experiment explored in Dølvel et a. (2025)

Key Scripts

Concentration Estimation

• concentration_flux_modelling.py - Main concentration modeling implementation with process modules
• geographic_plotter.py - Visualization functions for concentration model results
• load_eraV_grib - Loads eraV data, converts to .nc and interpolates onto modeling grid.

Configuration

• config.py - Configuration and path definitions for scripts related to the concentration estimation (concentration_flux_modelling.py and associated scripts/functions)
• environment.yml - Conda environment specification

Dependencies

This project requires the akd_estimator package, available at: https://github.com/KnutOlaD/akd_estimator

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PUBLICATION AND HOW TO CITE

Dølven, K. O., Espenes, H., Hanssen, A., Sert, M. F., Drivdal, M., Randelhoff, A., Ferré, B.: Modeling water column gas transformation, migration and atmospheric flux from seafloor seepage (...)