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AI/ML, Scientific Modelling and Technical Advisory

Science as the Foundation of Climate Action

Climate and environmental challenges are inherently technical, demanding rigorous measurement, modelling, and forecasting before they can be translated into policy. GR treats this scientific rigor as a starting point, not an afterthought: every advisory recommendation is grounded in atmospheric science, systems modelling, and quantitative analysis tailored to India's hyper-local realities.

Bridging Complex Science and Actionable Policy

Sophisticated climate models are only as useful as the decisions they inform. GR's technical teams translate atmospheric chemistry, economy-energy-environment dynamics, and machine learning outputs into accessible, decision-ready insights, equipping regulators, planners, and financial institutions with tools they can act on directly.

Building Scalable, High-Resolution Evidence Systems

Robust climate action depends on data infrastructure that holds up at scale. By fusing satellite observations, low-cost sensors, and research-grade monitoring with First Principles and ML frameworks, GR builds evidence systems that are hyper-local, high-resolution, and cost-effective, strengthening the foundation for every layer of its technical advisory work.

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Technical Capabilities

How we do it: rigorous measurement, modelling, and forecasting for evidence-led policy.

  • Atmospheric and Chemical-Transport Modelling

    We develop advanced atmospheric and chemical-transport models to support air quality and climate-based assessments. These models enable scenario testing across emission and policy pathways, alongside high-resolution forecasting that captures local-scale pollutant transport and transformation. By coupling meteorological drivers with emissions inventories, we translate complex atmospheric chemistry into actionable insight for air quality management and climate mitigation planning.

  • Integrated Economy-Energy-Environment Modelling

    We build integrated models that link economic activity, energy systems, and environmental outcomes within a single analytical framework. These models support policy formulation and climate financing strategies by quantifying trade-offs and synergies across sectors, helping decision-makers understand how energy transitions, economic growth, and environmental targets interact and can be aligned.

  • Life-Cycle and Systems Assessment

    We conduct life-cycle analysis and end-to-end systems assessments to evaluate the full environmental footprint of technologies, products, and interventions. This approach traces impacts from raw material extraction through production, use, and disposal, providing a comprehensive evidence base for comparing alternatives and identifying where interventions deliver the greatest climate and environmental benefit.

  • Machine Learning and Multi-Source Data Fusion for Regional Planning

    We fuse satellite observations, low-cost sensor networks, and research-grade monitoring data using First Principles and machine learning frameworks, overcoming the limitations of any single data source. These fused datasets power rapid, cost-effective ML assessments that turn complex climate models into actionable, hyper-local insights, translating global and national-scale climate science into the granular, decision-ready information that enables effective policy action.

Our Work

Gateway Research translating complex climate science into decision-ready policy insights.

Inverse modelling approach to assess air pollutant emission trends, and source contributions in highly polluted cities

September 2024

Inverse modelling approach to assess air pollutant emission trends, and source contributions in highly polluted cities

Potential areas of crop residue burning contributing to hazardous air pollution in Delhi during the post-monsoon season

January 2022

Potential areas of crop residue burning contributing to hazardous air pollution in Delhi during the post-monsoon season

Air Pollution Over India: Causal Factors for the High Pollution with Implications for Mitigation

November 2021

Air Pollution Over India: Causal Factors for the High Pollution with Implications for Mitigation

Reducing the burden of anaemia in Indian women of reproductive age with clean-air targets

August 2022

Reducing the burden of anaemia in Indian women of reproductive age with clean-air targets

Sectoral Contributions to Primary and Secondary PM2.5 in Regional Airsheds of India

March 2025

Sectoral Contributions to Primary and Secondary PM2.5 in Regional Airsheds of India

Working Title : Trajectory-mediation evidence from the Indo-Gangetic Plain: Emissions suppress solar energy in downwind cities

Working Title : Trajectory-mediation evidence from the Indo-Gangetic Plain: Emissions suppress solar energy in downwind cities

India’s peak air pollution puzzle: untangling the role of meteorology, emissions, and cross-border contribution

April 2026

India’s peak air pollution puzzle: untangling the role of meteorology, emissions, and cross-border contribution

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Gateway Research translating complex climate science into decision-ready policy insights.

Experts explain | Why India struggles to count heatwave deaths as climate change intensifies

July 2026

Experts explain | Why India struggles to count heatwave deaths as climate change intensifies

How AI can be a solution — not a problem — in the fight against climate change While concerns about AI's energy footprint are valid, its powerful potential for

August 2025

How AI can be a solution — not a problem — in the fight against climate change While concerns about AI's energy footprint are valid, its powerful potential for

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