Bespoke scenario analysis services

Bespoke scenario analysis services

Bespoke scenario analysis services

Investigate the likely impacts of different policy scenarios on the emissions of a range of air pollutants and greenhouse gases with a user-friendly, interactive, web-based solution built to your specification.

Be it the European Green Deal, net-zero targets or new policy development borne out of managing air quality in a post-pandemic world, governments and authorities worldwide are now, more than ever before, facing a greater need for a robust, yet flexible, method of exploring and understanding potential emissions reduction pathways and how best to track progress against them.

Ricardo’s bespoke scenario analysis services offer clients the opportunity to create a unique, interactive, web-based solution that is tailor-made to client specifications. This gives users the flexibility to run custom queries according to reporting needs, underpinned by local or national emissions data.

Built to your specification

Ricardo’s bespoke scenario analysis services puts users at the centre of the development process. Our data scientists, software developers, and climate science and air quality experts work closely with clients during each stage of development, from design to deployment, to devise a tailored solution that meets their needs and is user friendly.

Model impacts on a wide range of pollutant emissions

Investigate the likely impacts of different measures by building alternative policy scenarios for a wide range of pollutants, including:

  • Ammonia
  • Oxides of nitrogen
  • Particulate matter
  • Sulphur dioxide
  • Volatile organic compounds
  • Greenhouse gases
Available features

Highly augmentable solution allows for:

  • Targeting specific groups of emitters (at national and local scales).
  • Analysis of emissions by sector including transport, power generation, domestic combustions, agriculture and waste.
  • High transparency level for drill down of data.
  • Multiregional analysis.
  • Swipe comparisons between baseline and scenario projections.
  • Functionality to design new measures, save and share.
  • Outputs designed to feed into existing climate or air quality models.

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