Multi-Gas Predictions
Simultaneous modeling of Nâ‚‚O, COâ‚‚, and CHâ‚„ emissions with daily resolution
GHGMET's dynamic modeling system uses process-based biogeochemical algorithms to simulate greenhouse gas emissions from agricultural soils. Unlike empirical models, our approach mechanistically represents the biological, chemical, and physical processes that drive emissions.
We integrate two complementary modeling systems:
By simulating these interconnected processes, the model predicts daily emissions of Nâ‚‚O, COâ‚‚, and CHâ‚„ with high temporal and spatial resolution.
Key features and capabilities of our dynamic modeling system
Simultaneous modeling of Nâ‚‚O, COâ‚‚, and CHâ‚„ emissions with daily resolution
Mechanistic representation of soil biogeochemistry, not just statistical correlations
Evaluate emissions under future climate conditions and management scenarios
Customizable parameters for accurate predictions across diverse agricultural systems
DayCent is the daily time-step version of the CENTURY biogeochemical model, simulating fluxes of carbon and nitrogen between atmosphere, vegetation, and soil with high temporal resolution.
Model Capabilities:
Validation & Performance:
DayCent has been extensively tested across various native and managed systems. Model validation studies have demonstrated strong predictive performance:
Applications:
The model is used by the U.S. Environmental Protection Agency and Department of Agriculture for predicting impacts of land use change, management practices, and climate variability on soil carbon sequestration and greenhouse gas emissions.
Key Inputs:
- Daily minimum/maximum air temperature
- Daily precipitation
- Surface soil texture classification
- Land cover and land use data
LandscapeDNDC is a simulation framework developed at the Karlsruhe Institute of Technology (KIT) for terrestrial ecosystem models at site and regional scales, designed to capture spatial heterogeneity in biogeochemical processes.
Framework Design:
The model extends process-based biogeochemical simulation to the landscape scale, accounting for:
Research Applications:
LandscapeDNDC is primarily used for research questions related to:
Spatial Capabilities:
The framework enables:
Development:
Actively developed at Karlsruhe Institute of Technology in collaboration with the Land-CRAFT center at Aarhus University, Denmark.
Access our dynamic modeling platform or contact our team for support
modeling@ghgmet.com
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