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).
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Download this dataset | HTML | This link allows direct data access via Earthdata login | Open resource |
| Get a related visualization | JPG | Simulated soil accretion rates based on NUMAR unit mode for each of six sites (blue bar) in Mississippi River Delta compared to the 137-Cs measurements (red bars - unpublished data from Twilley's lab; black bar from Baustian et al. (2021)). | Open resource |
| View documentation related to this dataset | HTML | ORNL DAAC Data Set Documentation | Open resource |
| View documentation related to this dataset | ZIP | Collection bundle | Open resource |
| Download this dataset | ZIP | Collection bundle | Open resource |
| View documentation related to this dataset | Delta-X: NUMAR Predictive Model for Marsh Accretion Rates and Chemical Properties: DeltaX_MarshAccretion_NUMAR.pdf | Open resource | |
| The dataset's project home page | HTML | Delta-X Project Site | Open resource |
| This dataset's landing page | HTML | Data set Landing Page DOI URL | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |