Delta-X: NUMAR Predictive Model for Marsh Accretion Rates and Chemical Properties

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).

Data and Resources

Additional Info

Field Value
Maintainer Earthdata Forum
Last Updated November 5, 2026, 08:55 (UTC)
Created April 1, 2025, 15:23 (UTC)
Identifier 10.3334/ORNLDAAC/2354
Modified 2026-11-02T22:15:59Z
Theme {"Earth Science"}
accessLevel public
bureauCode {026:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
harvest_object_id e8c164c9-9c28-4767-8fc7-cb9a7e4ab425
harvest_source_id b99e41c6-fe79-4c19-bbc3-9b6c8111bfac
harvest_source_title Science Discovery Engine
license https://www.usa.gov/government-works
programCode {026:000}
publisher ORNL_DAAC
resource-type Dataset
source_datajson_identifier true
source_hash b8ae2c56afc68ba785090caa9c50f89480009ffd66fb84fbb5fb5a2a279ef31b
source_schema_version 1.1
spatial ["CARTESIAN", [{"WestBoundingCoordinate": -91.86, "NorthBoundingCoordinate": 29.76, "EastBoundingCoordinate": -90.19, "SouthBoundingCoordinate": 28.72}]]
temporal 2020-01-01/2022-12-31