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SGP97 ARM Parameters for Soil Water Retention Models Data Set

dataset
posted on 2023-11-30, 08:41 authored by Ron Elliot

The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The core of the 1997 experiment involves the deployment of the L-band Electronically Scanned Thinned Array Radiometer (ESTAR) for daily mapping of surface soil moisture. The region selected for investigation is the best instrumented site for surface soil moisture, hydrology and meteorology in the world. This includes the USDA/ARS Little Washita Watershed, the USDA/ARS facility at El Reno, Oklahoma, the ARM/CART central facility, as well as the Oklahoma Mesonet. The temporal coverage for this dataset is as follows: Begin datetime: 1995-10-01 00:00:00, End datetime: 2001-03-31 23:59:59. The Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Parameters for Soil Water Retention Models Data Set is one of the various sub-surface data sets developed for the ARM/GCIP (Global Energy and Water Cycle Experiment (GEWEX) Continental-scale International Project) 1996 Near-Surface Observation (NESOB-96) Data Set. This data set contains one table for each of the ARM SWATS (Soil Water and Temperature System) sites at the SGP site containing the fitted values of the parameters in the van Genuchten and Brooks-Corey equations for relating soil water pressure to volumetric water content. The soil characterizations were perfomed by Oklahoma State University.


Resources in this dataset:

Funding

Agricultural Research Service

National Science Foundation

History

Data contact name

Elliot, Ron

Data contact email

relliot@okstate.edu

Publisher

National Center for Atmospheric Research / Earth Observing Laboratory

Intended use

SGP97 is set in a subhumid environment during early summer. Within this setting, the objectives of SGP97 are (1) to establish that the retrieval algorithms for surface soil moisture developed at higher spatial resolution using truck- and aircraft-based sensors can be extended to the coarser resolutions expected from satellite platforms; (2) to verify spatial-temporal estimators of soil moisture and to examine the utility of pedotransfer function in hydrologic modeling; (3) to examine the feasibility of inferring soil moisture and temperature profiles using surface observations in conjunction with in situ measurements, and (4) to examine the effect of soil moisture on the evolution of the atmospheric boundary layer and clouds over the Southern Great Plains during the warm season.

Use limitations

No additional qulaity control was performed by the University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS).

Temporal Extent Start Date

1995-10-01

Temporal Extent End Date

2001-03-31

Theme

  • Not specified

Geographic Coverage

{"type":"FeatureCollection","features":[{"geometry":{"type":"Polygon","coordinates":[[[-99.32,38.31],[-95.6,38.31],[-95.6,35.25],[-99.32,35.25],[-99.32,38.31]]]},"type":"Feature","properties":{}}]}

ISO Topic Category

  • environment
  • farming

Ag Data Commons Group

  • Southern Plains
  • Long-Term Agroecosystem Research

National Agricultural Library Thesaurus terms

soil water retention; soil water; models; data collection; Great Plains region; satellites; Agricultural Research Service; Maryland; meteorology; watersheds; Oklahoma; energy; hydrologic cycle; temperature; equations; volumetric water content

OMB Bureau Code

  • 005:18 - Agricultural Research Service

OMB Program Code

  • 005:040 - National Research

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

Elliot, Ron (2020). SGP97 ARM Parameters for Soil Water Retention Models Data Set. National Center for Atmospheric Research / Earth Observing Laboratory.

Usage metrics

    Categories

    Keywords

    EnvironmentfarmingSoilWatermodelsmeteorologywatershedstemperaturedata.govARS

    Licence

    CC BY 4.0

    Exports

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