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) Soil Water Retention 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 a table for each of the ARM SWATS (Soil Water and Temperature System) sites at the SGP site containing the observed soil water retention data as obtained from laboratory tests using pressure plates and hanging columns. The soil characterizations were perfomed by Oklahoma State University.
Dataset InfoThese fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
|Spatial / Geographical Coverage Area|
POLYGON ((-99.32 38.31, -95.6 38.31, -95.6 35.25, -99.32 35.25))
|Equipment or Software Used|
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.
No additional qulaity control was performed by the University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS).
|Public Access Level|
U.S. Public Domain
005:037 - Department of Agriculture - Research and Education
005:18 - Agricultural Research Service
|Harvest Source Title||Geodata Harvest|
|Harvest Source URI||https://geodata:NAL2geodata@firstname.lastname@example.org/geonetwork/srv/eng/csw|
|Last Harvest Performed||Tue, 04/10/2018 - 13:22|
- Agroecosystems & Environment
- Agroecosystems & Environment