MIDOSS Project Contributors

The MIDOSS (Model of Impact of Dilbit and Oil Spills in the Salish Sea) project is lead by:

  • Susan Allen in the Department of Earth, Ocean, and Atmospheric Sciences (EOAS) at the University of British Columbia.

  • Stephanie Chang in the School of Community and Regional Planning (SCARP) and the Institute for Resources, Environment, and Sustainability (IRES) at the University of British Columbia

  • Haibo Niu in the Department of Engineering at Dalhousie University

Software Development Contributions:

  • Susan Allen: Lead supervisor, co-developed random_oil_spills.py, co-developed MOHID oil spill fate model, developed post-processing tools.

  • Rachael Mueller : Post-doctoral fellow in charge of coordinating research groups, supervising students, leading development of the random_oil_spill.py code, managing the selection of oil weathering parameters, developing research, developing methods and code (e.g. random_oil_spills.py), analysing Departement of Ecology data, running MOHID model, analyzing output, developing post-processing tools, documenting information, and presenting research.

  • Doug Latornell: Developed MOHID modeling platform on Compute Canada machines, managed software implementation, refined and co-developed random_oil_spills.py, provided software development support for the research team, general backbone for keeping all systems a “go”.

  • Ben Moore-Maley: Evaluated surface wind forcing effects on surface currents

  • Ashutosh Bhudia: Developed make_hdf5.py code, developed code to re-sample HRDPS and WaveWatch III to SalishSeaCast (MOHID) grid, evaluated surface conditions (e.g.: winds, currents, and tides), ran MOHID model.

  • Vy Do: Developed modules for random_oil_spill.py, ran MOHID oil spill model, evaluated surface conditions (e.g.: winds, currents, and tides).

  • Shihan Li: Refined biodegradation parameterization in the MOHID oil spill fate model and developed MOHID to include Salish Sea Cast, HRDPS, and Wave Watch III (R) inputs.

  • Xiaomei Zhong: Researched Dilbit floculation for developing a Dilbit sedimentation module.

  • Krista Forysinski: Researched ship and marine terminal information to inform and develop oil attribution.

  • Cameron Power: Developed GIS platform and AIS data products used in random_oil_spills.py. Implemented origin and destinations attribution of AIS ship tracks in shapefiles. Researched ship and marine terminal information to inform and develop oil attribution.

  • Casey Hilliard: Developed code for attributing AIS ship tracks with marine terminal origin and destinations.

  • Ryah Rondolo: Researched past oil spills and developed database used to assign spill fraction from cargo capacity.

Contact information: