NASA Model Archive: Soil NO Emissions and Forest Carbon Flux Simulations

An archived model product from NASA containing source code, input data, and sample outputs for biogeochemical simulations. The data includes the Berkeley-Dalhousie Soil Nitric Oxide Parameterization module for air quality modeling and Biome-BGC executables for forest carbon and water budget analysis. Sample simulations cover the conterminous United States at a 12-km grid resolution for July 2011 and ponderosa pine chronosequences in Oregon.

Use Cases

• Replicating soil nitric oxide emission simulations based on the described BDSNP module parameterizations.
• Analyzing forest carbon storage and net ecosystem productivity (NEP) across stand ages based on the Biome-BGC model outputs.
• Comparing air quality model outputs using different historical and newer input maps for soil biome type and fertilizer.
• Studying the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests.

Strengths

• Includes source code and executables for the BDSNP and Biome-BGC models, enabling full reproducibility.
• Sample CMAQ outputs are provided at a 12-km spatial grid resolution for the conterminous United States.
• Model procedures are linked to specific, peer-reviewed publications (Law et al. 2003, Thornton et al. 2002).
• License is CC-BY-4.0, permitting broad reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

NASA Model Archive Project, hosted on aws_open_data.

Collection Method

Archived model product containing source code, input data, and simulation outputs.

Time Range

Sample simulation for July 2011; model calibration based on studies from 2002 and 2003.

Freshness

Last updated date is unknown.

Geography

Conterminous United States (CMAQ simulations); central Oregon, USA (Biome-BGC forest simulations).