Title:

MATLAB data and code used to assess different models describing how atmospheric pressure, soil heating and soil moisture dynamics influence the exchange of trace gases between the atmosphere and the soil

Author(s):

Massman, William J.; Frank, John M.

Publication Year:

2022

How to Cite:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Massman, William J.; Frank, John M. 2022. MATLAB data and code used to assess different models describing how atmospheric pressure, soil heating and soil moisture dynamics influence the exchange of trace gases between the atmosphere and the soil. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0065

Abstract:

This data publication contains both observed and model data. The observed data, which include soil temperature, volumetric water content and pressure measurements, are a (2012) subset of a larger (2008-2014) soil/atmosphere experiment at Manitou Experimental Forest, Colorado. Soil temperature and water content are provided every 5 minutes and pressure provided at 1 hertz. The model data used, provided as MATLAB (*.mat) files, are included in this package as well as the MATLAB code and graphics subroutines for assessing different models of how atmospheric pressure, soil heating and moisture dynamics influence the exchange of trace gases between the atmosphere and the soil.

Keywords:

environment; Ecology, Ecosystems, & Environment; Soil; Natural Resource Management & Use; Water; soil pressure pumping; soil pressure; soil temperature; soil volumetric water content; Manitou Experimental Forest; Colorado

Related publications:

• Frank, John M.; Massman, William J. 2020. 2008-2014 Soil temperature, thermal conductivity, water content, CO2, and pressure at the Manitou Experimental Forest, Colorado during the Bio-hydro-atmosphere interactions of Energy, Aerosols, Carbon, H2O, Organics & Nitrogen (BEACHON) study. Ft. Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0061
• Massman, William J.; Frank, John M. 2022. Modeling gas flow velocities in soils induced by variations in surface pressure, heat and moisture dynamics. Journal of Advancements in Earth Systems Modeling. 14(10): e2022MS003086. https://doi.org/10.1029/2022ms003086 https://research.fs.usda.gov/treesearch/66714

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Data Access:

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  • RDS-2022-0065_Metadata_Fileindex.zip (455.7 KB; Checksum)
  • RDS-2022-0065_Code.zip (94.69 KB; Checksum)
  • RDS-2022-0065_Data.zip (6.35 GB; Checksum)

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