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

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/2354
Version1
Projects
Published2024-09-10
Usage94 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

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Crosscite Citation Formatter
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 EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

Data Files

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Companion Files

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Dataset has 1 companion files.

  • DeltaX_MarshAccretion_NUMAR.pdf

Additional Resources

TypeTitle
Workshop2024 Delta-X Applications Workshop
Workshop2022 Delta-X Applications Workshop
WebinarExploring River Deltas with NASA Data: The Delta-X Mission
WorkshopDelta-X Open Data Workshop