Oklahoma Mesonet Soil Moisture

Name: Oklahoma Mesonet Soil Moisture
Published: 2018-02-01

Gregory, Laurie; Tilp, Alison

doi:10.5439/1432043

Title: Oklahoma Mesonet Soil Moisture

Dataset
Other Related Research

Abstract

Oklahoma Mesonet 30-minute averaged soil moisture data.

Authors:: Gregory, Laurie; Tilp, Alison

Publication Date:: 2018-02-01

DOE Contract Number:: DE-AC05-00OR22725

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Archive

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Subject:: 54 Environmental Sciences

Keywords:: sgp, soil moisture, Oklahoma Mesonet, soil matric potential, volumetric water content, fractional water index

OSTI Identifier:: 1432043

DOI:: https://doi.org/10.5439/1432043

Citation Formats


                    Gregory, Laurie, and Tilp, Alison. Oklahoma Mesonet Soil Moisture.  United States: N. p., 2018. 
        Web.  doi:10.5439/1432043.

Copy to clipboard


                    Gregory, Laurie, & Tilp, Alison. Oklahoma Mesonet Soil Moisture.  United States.  doi:https://doi.org/10.5439/1432043

Copy to clipboard


                    Gregory, Laurie, and Tilp, Alison. 2018.  
"Oklahoma Mesonet Soil Moisture".  United States.  doi:https://doi.org/10.5439/1432043.  https://www.osti.gov/servlets/purl/1432043. Pub date:Thu Feb 01 00:00:00 EST 2018

Copy to clipboard


                    
@article{osti_1432043,

  title        = {Oklahoma Mesonet Soil Moisture},

  author       = {Gregory, Laurie and Tilp, Alison},

  abstractNote = {Oklahoma Mesonet 30-minute averaged soil moisture data.},

  doi          = {10.5439/1432043},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2018},

  month        = {2}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.5439/1432043

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Oklahoma Mesonet Soil Moisture (OKMSOIL) Value-Added Product Report

Technical Report Gregory, Laurie ; Cialella, Alice ; Giangrande, Scot E
Oklahoma Mesonet Soil Moisture (OKMSOIL) Value-Added Product Report

Technical Report Gregory, L. ; Cialella, Alice ; Giangrande, Scott E.

Land surface and subsurface state characteristics (e.g., soil moisture) are critical measurements for ongoing weather and climate analyses of land-atmospheric interactions and processes. Knowledge of the variation in soil moisture across the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) user facility’s Southern Great Plains (SGP) observatory domain is anticipated as a key quantity for assessing the potential impact of these interactions. This Oklahoma Mesonet Soil Moisture (OKMSOIL) value-added product (VAP) has been developed in response to growing demand for delivering a long-term measurement record of soil moisture (over an extended area) for such land-atmospheric studies. The Oklahoma Mesonet (OKM)more »« less
Soil temperature, soil moisture and thaw depth, Barrow, Alaska, Ver. 1

Dataset Sloan, Victoria ; Liebig, Jennifer ; Hahn, Melanie ; ...

This dataset consists of field measurements of soil properties made during 2012 and 2013 in areas A to D of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska. Included are i) weekly measurements of thaw depth, soil moisture, presence and depth of standing water and soil temperature made during the 2012 and 2013 growing seasons (June to September) and ii) half-hourly measurements of soil temperature logged continuously during the period June 2012 to September 2013. Dataset DOI:10.5440/1121134, https://doi.org/10.5440/1121134
MOFLUX Intensified Soil Moisture Extremes Decrease Soil Organic Carbon Decomposition: Modeling Archive.

Dataset Liang, J. ; Wang, G. ; Singh, S. ; ...

This Modeling Archive is in support of a TES-SFA publication “Intensified Soil Moisture Extremes Decrease Soil Organic Carbon Decomposition: A Mechanistic Modeling Analysis” (Liang et al., 2021). Here we provide model code, inputs, outputs and evaluation datasets for the Microbial ENzyme Decomposition (MEND) model for the Missouri Ozarks AmeriFlux eddy covariance measurement site (MOFLUX) near Ashland, Missouri USA. The MEND model was developed with explicit representation of microbial and enzyme pools to mechanistically simulate the role of microbial organisms and extracellular enzymes in soil organic carbon (SOC) decomposition. Long-term SOC dynamics under intensified moisture extremes are studied using the MENDmore »« less
Radiocarbon in Ecosystem Respiration and Soil Pore-Space CO2 with Surface Gas Flux, Air Temperature, and Soil Temperature and Moisture, Barrow, Alaska, 2012-2014

Dataset Vaughn, Lydia ; Torn, Margaret ; Porras, Rachel ; ...

Dataset includes Delta14C measurements made from CO2 that was collected and purified in 2012-2014 from surface soil chambers, soil pore space, and background atmosphere. In addition to 14CO2 data, dataset includes co-located measurements of CO2 and CH4 flux, soil and air temperature, and soil moisture. Measurements and field samples were taken from intensive study site 1 areas A, B, and C, and the site 0 and AB transects, from specified positions in high-centered, flat-centered, and low centered polygons. The column "sample_size" was added to "radiocarbon_field_Barrow_2012_2013_2014.csv" September 2018 with no changes to other data. Dataset DOI:10.5440/1364062; https://doi.org/10.5440/1364062

Similar Records