Soteica Visual MESA

Soteica Visual MESA
Name	Soteica Visual MESA
Developer	Soteica Visual MESA
Released	1990s
Latest release version	proprietary
Operating system	Cross-platform
Genre	Atmospheric modeling, visualization

Soteica Visual MESA Soteica Visual MESA is a proprietary atmospheric dispersion and air quality modeling and visualization system used for regulatory assessment, emergency response, and research. The platform combines plume modeling, data assimilation, geospatial visualization, and reporting for industrial users, environmental agencies, and consulting firms. It is applied in contexts ranging from oil and gas operations to urban air monitoring, integrating with instrumentation, meteorological services, and regulatory workflows.

Overview

Soteica Visual MESA has been deployed by energy companies such as Shell plc, BP, TotalEnergies, and ExxonMobil and used by agencies including United States Environmental Protection Agency, European Environment Agency, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, and Environment Canada. The system interoperates with databases and standards from World Meteorological Organization, European Commission, International Maritime Organization, United Nations Environment Programme, and World Health Organization. Visual MESA supports input from remote sensing assets like Landsat, Sentinel-2, MODIS, and GOES, and links to modeling frameworks such as WRF, CMAQ, CALPUFF, and AERMOD. It is referenced in case studies involving Chevron Corporation, Eni, ConocoPhillips, Equinor, and Petrobras as well as consultancy firms like AECOM, Jacobs Engineering Group, and Ramboll.

History and Development

Development began in the 1990s amid growing demand from European Commission directives and Clean Air Act implementations, with contributions from research institutions including Imperial College London, Massachusetts Institute of Technology, ETH Zurich, University of Cambridge, École Polytechnique, and Tsinghua University. Early versions interfaced with graphics systems from Silicon Graphics, Sun Microsystems, and GIS platforms like ESRI and GRASS GIS. Over time, collaborations expanded to include Lawrence Berkeley National Laboratory, Argonne National Laboratory, Rutherford Appleton Laboratory, and Los Alamos National Laboratory for model validation. Notable deployments occurred around events such as the Deepwater Horizon oil spill, Fukushima Daiichi nuclear disaster, and industrial incidents involving BP's Texas City Refinery explosion for emergency plume trajectory analyses.

Technology and Architecture

The architecture integrates numerical solvers, data ingestion pipelines, and visualization engines tied to geospatial canvases from ArcGIS, QGIS, and Google Earth Engine. Core modules borrow algorithms from Monte Carlo methods, Kalman filter implementations tested at NASA Goddard Space Flight Center and numerical libraries used by CERN and European Organisation for Nuclear Research. It supports meteorological inputs from networks including ECMWF, NOAA NCEP, UK Met Office, Météo-France, and observational platforms like Doppler radar, LIDAR, and automated weather stations operated by Deutsche Wetterdienst and Japan Meteorological Agency. Data formats supported include standards from OGC, NetCDF, HDF5, and outputs compatible with Matlab, Python, R Project, and visualization suites like Tableau and Power BI.

Applications and Use Cases

Soteica Visual MESA is applied in regulatory permitting for projects overseen by entities such as European Commission, US EPA, Health Canada, and Australian Department of Agriculture, Water and the Environment. It aids emergency response coordination with organizations like FEMA, Civil Defense, Intergovernmental Panel on Climate Change, and International Atomic Energy Agency in plume forecasting and impact assessments. Industrial safety applications include process hazard analysis for Baker Hughes, Schlumberger, and Halliburton, and environmental impact studies for infrastructure projects by Bechtel, Fluor Corporation, and VINCI. Research uses span atmospheric chemistry studies with teams at Scripps Institution of Oceanography, Woods Hole Oceanographic Institution, Max Planck Institute for Chemistry, and Georgia Institute of Technology.

Deployment and Integration

Deployments range from on-premises installations at sites operated by Royal Dutch Shell and Saudi Aramco to cloud-hosted configurations on platforms like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Integration partners include GIS vendors Esri, Hexagon AB, and telemetry suppliers such as Siemens, Honeywell, and ABB. The software supports incident management workflows with systems from SAP, Oracle, IBM Maximo, and situational awareness platforms used by European Centre for Medium-Range Weather Forecasts and National Weather Service. Field deployments have interfaced with sensor networks from AirNow, AURN, OpenAQ, and community science projects affiliated with Citizen Science Association.

Licensing and Commercialization

Licensing is proprietary, negotiated with end users including multinational corporations like Dow Chemical Company, Monsanto (Bayer) affiliates, and municipal authorities such as City of London Corporation or New York City. Commercialization channels include systems integrators like Accenture, Capgemini, and Deloitte and specialist environmental consultancies such as ERM and RPS Group. Training and certification programs have been provided through partnerships with universities like University of California, Berkeley, University of Manchester, and corporate training firms similar to Coursera and Udemy for technical users and emergency planners.

Category:Atmospheric dispersion modeling software