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Description

This dataset provides input data and model code to run the Marsh Accretion Rates (NUMAR) process model used to predict soil accretion rates and chemical properties for marsh sites in the Mississippi River Delta. NUMAR is a modification of the NUMAN model by Chen and Twilley (1999) that was developed for mangrove environments. This dataset provides Python code, input data in comma separated values (CSV) format, and documentation for installing and running the model in Portable Document Format (PDF).

Product Summary

Platforms
COMPUTERS
Instruments
Computer
Spatial Extent

N: 29.76 S: 28.72 E: -90.19 W: -91.86

Geographic Region
LOUISIANA
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2020-01-01 to 2022-12-31
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C3235699055-ORNL_CLOUD
Data State
COMPLETE
Number of Files/Granules
3
Processing Level
4
Published
Updated
Science Keywords
Accretion ,
Salt Marsh ,
Wetlands ,
Wetlands

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Twilley, R., Biswas, P., Rovai, A., Christensen, A. L., Cassaway, A. F., Vargas-Lopez, I. A., & Kameshwar, S. (2024). Delta-X: NUMAR Predictive Model for Marsh Accretion Rates and Chemical Properties (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2354 Date Accessed: 2025-12-14

Documents