Overview
DOI | https://doi.org/10.3334/ORNLDAAC/2354 |
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Version | 1 |
Projects |
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Published | 2024-09-10 |
Usage | 120 downloads |
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).
Science Keywords
- LAND SURFACE
- GEOMORPHIC LANDFORMS/PROCESSES
- COASTAL PROCESSES
- ACCRETION
- LAND SURFACE
- GEOMORPHIC LANDFORMS/PROCESSES
- COASTAL LANDFORMS
- SALT MARSH
- BIOSPHERE
- ECOSYSTEMS
- TERRESTRIAL ECOSYSTEMS
- WETLANDS
- BIOSPHERE
- ECOSYSTEMS
- AQUATIC ECOSYSTEMS
- WETLANDS
Data Use and Citation
Twilley, R., P. Biswas, A. Rovai, A.L. Christensen, A.F. Cassaway, I.A. Vargas-Lopez, and S. Kameshwar. 2024. Delta-X: NUMAR Predictive Model for Marsh Accretion Rates and Chemical Properties. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2354
This dataset is openly shared, without restriction, in accordance with the NASA Earthdata Data Use Guidance.
Data Files
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Companion Files
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Dataset Companion Files
Dataset has 1 companion files.
- DeltaX_MarshAccretion_NUMAR.pdf
Additional Resources
Type | Title |
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Workshop | Delta-X Open Data Workshop |
Webinar | Exploring River Deltas with NASA Data: The Delta-X Mission |
Workshop | 2024 Delta-X Applications Workshop |
Workshop | 2022 Delta-X Applications Workshop |