Integrated Assessment Model (IAM)

GAINS: Making synergies between air quality and climate policies visible

Many air pollutants and greenhouse gases share common sources. The GAINS model analyzes costs, effects, and interactions and helps identify cost-effective policy packages - from local to global scale.

How it works What you can do

10 + 6

10 air pollutants & 6 greenhouse gases

1990-2050+

Time horizon in 5-year steps

~180

Regions / countries covered

Three main applications

Simulation
Estimate costs, health and ecosystem effects for user-defined policy packages.
Cost-effectiveness
Identify the least-cost combinations of measures to achieve given targets.
Cost-benefit
Determine interventions with the maximum (monetized) net benefit.

Source: Public GAINS descriptions and documentation.

Overview

Why GAINS?

Supports policy and planning with transparent analyses of emissions, costs, and impacts - including synergies and trade-offs between air quality and climate.

Applications

From CLRTAP negotiations and EU clean air strategies to national roadmaps and global scenarios.

Data basis

Energy and industry structure, catalog of measures, costs, atmospheric chemistry, exposure & impact pathways on health and ecosystems.

Features & Modules

Scenario analysis

Compare historical emissions and future pathways, explore impacts, and assess policy options.

Optimization

Identify least-cost packages of measures that simultaneously meet defined emission or impact targets.

Multiple endpoints

PM2.5 health, ozone mortality, acidification & eutrophication of ecosystems, and climate impact metrics.

Coverage

Global model with regional implementations (Europe, Asia, etc.); analyses at country and sector level.

How it works

1. Activity & emission factors
Integration of international statistics and national data on energy use, technologies, and emission factors.
2. Measures & costs
Catalogue of technical and non-technical abatement options with effectiveness, costs, and applicability per sector.
3. Dispersion & concentration
Atmospheric processes lead to concentrations (e.g. PM2.5, ozone), depositions, and exposures in regions.
4. Impacts
Estimate health and ecosystem effects and climate metrics from concentrations/depositions.
5. Assessment
Simulation, cost-effectiveness or cost-benefit analyses - including optimization if needed.

Resources & further links

Background & publications

Scientific context and applications.

IIASA Model page

Access & Contact

Depending on user role, functions range from view-only to scenario design and optimization.

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