Scientific Foundation

Rigorous Science. Validated Methods. Trusted Results.

GHGMET's tools and datasets are built on decades of peer-reviewed research and field validation across diverse agricultural systems.

Our Scientific Approach

GHGMET's foundation rests on rigorous, peer-reviewed science. Every tool, dataset, and model we develop undergoes extensive validation against field measurements and independent review by the scientific community.

Commitment to Scientific Excellence

We believe that advancing agricultural greenhouse gas science requires:

  • Transparent, reproducible methodologies
  • Rigorous quality control and uncertainty quantification
  • Independent peer review and validation
  • Collaboration with leading research institutions

Key Scientific Principles

Our commitment to rigorous, transparent science

Extensive Field Validation

Models and tools are validated against multi-year field measurements across diverse soil types, climates, and management systems.

Rigorous Quality Assurance

Multi-level QA/QC protocols ensure data accuracy. Automated checks, manual review, and uncertainty quantification provide confidence in results.

Peer-Reviewed Methods

All measurement protocols and analytical methods undergo rigorous peer review before implementation.

Scientific Methodology

Process-Based Biogeochemical Modeling

GHGMET's scientific approach integrates field measurements with advanced process-based models.

Model-Data Integration Framework

Our methodology combines:

Field Measurements

  • Site-specific soil, climate, and management data collection
  • Validation measurements for model calibration
  • Multi-year monitoring for temporal validation

Process-Based Simulation

  • DayCent biogeochemical model for daily time-step predictions
  • LandscapeDNDC framework for spatial heterogeneity
  • Integration of measured data with mechanistic processes

Uncertainty Quantification

  • Ensemble modeling approaches
  • Sensitivity analysis for key parameters
  • Validation against independent field datasets

Join the Scientific Community

Connect with GHGMET researchers, access publications, or explore collaboration opportunities

Get in Touch

Email

science@ghgmet.com

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