NUMAR: Predictive Model for Marsh Accretion and Soil Chemistry

NUMAR is a process model for predicting soil accretion rates and chemical properties in marsh sites of the Mississippi River Delta. The dataset includes Python code, input data in CSV format, and PDF documentation for installing and running the model. It is a modification of the NUMAN model originally developed for mangrove environments by Chen and Twilley (1999).

Use Cases

• Predicting soil accretion rates in coastal marshes based on input environmental parameters.
• Modeling soil chemical properties to assess carbon sequestration potential in wetland ecosystems.
• Calibrating and validating the NUMAR process model for specific sites within the Mississippi River Delta.
• Comparing marsh accretion dynamics to mangrove environments using the modified NUMAN framework.

Strengths

• Includes executable Python code and documented installation process, facilitating model replication.
• Provides specific input data for marsh sites in the Mississippi River Delta, enabling localized predictions.
• Cross-platform presence on Data.gov and NASA Earthdata signals importance and accessibility.

Limitations

• Column names and data structure are not specified, making initial data exploration difficult.
• Conflicting last-updated dates exist between sources (2026-04-10 on Data.gov vs. 2022-12-31 on NASA Earthdata).
• Dataset size and row counts are unknown, limiting assessment of data volume and granularity.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Model code and input data compiled for the NUMAR process model.

Freshness

2026-04-10 (most recent update from Data.gov)

Geography

Mississippi River Delta marsh sites