Sophie Wreh

Professional Summary

Sophie Wreh is a leading climate data scientist specializing in precision modeling of greenhouse gas (GHG) emissions. With expertise in atmospheric chemistry, remote sensing, and machine learning, Sophie develops high-resolution quantification frameworks to track emissions at facility, urban, and regional scales. Her models bridge the gap between policy targets and measurable climate action, enabling data-driven decarbonization strategies.

Core Competencies & Innovations

1. Advanced Emission Quantification

• Builds Tier 3+ models integrating:

  • Satellite (e.g., GHGSat, Sentinel-5P) and ground-based sensor data

  • AI-driven source attribution algorithms

  • Atmospheric inverse modeling

• Achieves <5% uncertainty for point-source emissions (oil/gas, landfills)

2. Sector-Specific Solutions

• Energy: Real-time methane leak detection for oil/gas infrastructure

• Agriculture: Spatiotemporal modeling of soil N₂O fluxes

• Cities: Urban GHG budgets using traffic/weather/land-use data fusion

3. Policy Integration

• Develops MRV (Monitoring-Reporting-Verification) systems for:

  • UNFCCC reporting requirements

  • Carbon credit certification (e.g., Verra, Gold Standard)

• Advises governments on Tier 2→3 methodology transitions

Career Milestones

• Pioneered a hybrid model adopted by the EU Emissions Trading System (2024)

• Led the first city-scale CO₂ monitoring network in West Africa (Accra Project)

• Published in Nature Climate Change on bias correction for satellite-derived CH₄ data