AERIS is a screening tool that relies on transfer matrices to simulate complex atmospheric phenomena (advection, diffusion, chemical reactions, deposition, etc) to assess changes in concentrations of air pollutants (including secondary pollutants such as particulate matter or ozone) as a function of emissions variations providing a comprehensive view of compliance with ambient air quality legal standards as well as health an ecosystem-related impacts.

Unlike complex deterministic air quality models, AERIS allows an immediate evaluation of potential abatement strategies that usually imply significant economic and social costs.

Its modular structure makes AERIS a suitable solution for any region or city by incorporating local expertise, methods and databases for consistent for a comprehensive and specific response.

AERIS runs in a friendly Matlab® interface which is simple and flexible, allowing rapid diagnostic capabilities for policy makers and environmental planners.

"An Integrated Assessment Modelling system based on location-specific atmospheric transfer matrices that allows a quick and comprehensive evaluation of emission abatement strategies"

• Poor ambient air quality causes annually 3.7 million premature deaths worldwide according to the WHO. The EEA estimates direct economic costs of air pollution over 350 billion € each year only in Europe. According to OECD, market impacts of outdoor air pollution may grow up to 1% of global GDP by 2060.
• Public administrations and policy makers need support to develop meaningful and effective air quality improvement strategies based on emission abatement measures to prevent negative air pollution impacts on population and ecosystems and to meet the increasingly stringent air quality standards. Current deterministic air quality modelling systems are extremely expensive and time-consuming making unfeasible to simulate a wide range of abatement scenarios. In addition, it is difficult to link abatement strategies to comprehensive assessment of health and ecosystem-related impacts.
• AERIS may help decision makers and companies to:
• Develop air quality strategies requiered by law, avoiding non-compliance situations and fines
• Consistently integrate air quality and climate change mitigation policies on win-win mid and long term strategies
• Air quality is a key concept for the development of smart cities
• Identify cost-effective policies
• Support participative processes 

"AERIS offers immediate air quality diagnostics capabilities for policy makers, industry and the general public without incurring in long computation times, onerous infrastructure or high technical expertise"

• Air quality issues can be found worldwide. According to the WHO only 16% of the cities comply with (increasingly stringent) legal standards.
• Only in Europe hundreds of exceedances are reported every year in more than 20 member states. Besides saving substantial costs (as much as £3.7 billion/year in cities like London) they are legally bind to develop air quality plans to meet EU standards. This action plans involve significant costs. Recently Madrid launched its air quality strategy 2016-2020 (Plan A) with an associated budget of 550 M€. These action plans involve significant costs and require considerable consultancy and support.
• The European Commission (DG ENV+CLIMA) has recently tendered contracts to supporting the evaluation, implementation and further development of air quality and emissions policies for 10 M€. Large international environmental consulting companies state in their financial reports revenues from 50 to 300 M€/year related to environment and energy technical consulting.

• AERIS is the only model that provides immediate diagnostic capabilities of air pollution abatement measures using local data and expertise.
• Describes the full chain of events that come about with the application of an air pollution measure.
• Comparable performance and robustness to cutting-edge air quality models.
• It provides immediate responses and can be fully interrogated using common desktop applications and requires minimal user training.
• It can integrate official emission inventories, projections and local modelling tools.
• Highly modular: flexible and customizable solutions: from continental to the local scales.
• It reduces computing times from months to hours and minimizes costs, allowing the analysis of an unlimited number of scenarios and abatement strategies.