NUMAR: Predictive Model for Marsh Accretion and Soil Chemistry

Mississippi River Delta marsh sites are the focus of this dataset, which provides input data and Python code for the NUMAR process model. NUMAR, a modification of the NUMAN model for mangroves, predicts soil accretion rates and chemical properties. The package includes model code, CSV input data, and PDF documentation for installation and execution.

Use Cases

• Predicting soil accretion rates for marsh sites based on provided input parameters.
• Modeling soil chemical properties in coastal wetlands using the NUMAR process model.
• Comparing marsh accretion dynamics to mangrove environments via the NUMAN model modification.
• Running scenario analyses for the Mississippi River Delta using the included Python code and CSV data.

Strengths

• Includes executable Python code and documented PDF instructions for running the model.
• Provides specific input data in CSV format for marsh sites in the Mississippi River Delta.
• Model is based on a peer-reviewed scientific foundation (Chen and Twilley, 1999).

Limitations

• Column names and specific data structure within the CSV files are not described.
• Conflicting last updated dates exist between sources (2026-04-10 on datagov vs. 2022-12-31 on nasa_earthdata).
• Dataset size and row counts are unknown, limiting assessment of data volume.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Data and code provided to run the NUMAR process model.

Freshness

2026-04-10 03:58:02.563108

Geography

Mississippi River Delta marsh sites