Field-level workflows
Projects are organized around fields, boundaries, management history, weather, soil data, and scenario comparisons.
Development preview - demo access by request
GHGMet
A field-level agricultural greenhouse gas modeling platform in active development for research collaboration and model integration.
Current status
In Development
The current release is positioned for research conversations and scoped demos while the team finalizes model access, validation boundaries, and producer-facing workflows.
Release posture
Development preview
Platform
Active development
Core field, model, and reporting workflows are being refined with collaborators.
Access
Demo by request
Walkthroughs are coordinated directly so project scope is clear.
Outputs
Review required
Results need use-case, geography, crop, and model-specific review.
Producer use
Scoped validation
Field-facing decisions require a defined pilot and validation plan.
Platform direction
Field data, model execution, and scenario comparison in one workflow.
GHGMet is being developed to help collaborators assemble model-ready inputs, compare management scenarios, and review outputs with clear data provenance.
Model service architecture
The platform is designed to connect model-specific translators and execution services behind a consistent user workflow.
Scenario comparison
Development workflows support baseline and alternative management scenarios for side-by-side model output review.
Traceable inputs
Weather, soils, crop rotations, and management assumptions are tracked so collaborators can review how each run was assembled.
Model availability
Model access is managed by scope and partnership.
The platform is designed for multiple models, but availability depends on licensing, research review, geography, crop system, and validation requirements.
Read model statusLandscapeDNDC
Research workflow activeUsed in current GHGMet development workflows for process-based greenhouse gas modeling and scenario comparison.
DayCent
Research workflow activeUsed in current GHGMet research workflows with CSU model expertise, access considerations, and project-specific review.
Research platform
Organizing field-scale greenhouse gas model workflows.
GHGMet is a research platform for organizing field-scale greenhouse gas model workflows and streamlining how model stacks are verified and deployed.
The platform uses design patterns developed through experience running agricultural models: structured inputs, model-specific translation, execution services, traceable outputs, and side-by-side scenario review.
Workflow organization
Field boundaries, weather, soils, management records, translators, runs, and outputs are handled as structured parts of the same workflow.
Model stack verification
New model stacks can be connected, tested against expected inputs and outputs, and reviewed before broader use.
Collaborative research
Collaborators can help evaluate model integrations, regional datasets, validation questions, and workflow requirements.
Collaboration
Collaboration inquiries are welcome.
Contact the development team about model stacks, geographies, crop systems, datasets, validation questions, or research workflows.