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SGP97 Surface: High Plains Climate Network Data

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 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 High Plains Climate Network (HPCN) dataset is one of various datasets provided for the Southern Great Plains 1997 (SGP97) project. This dataset contains HPCN data from 15 stations in the SGP97 domain. This dataset covers the complete SGP97 time period (18 June 1997 through 18 July 1997) and for the SGP97 domain. The SGP97 domain is approximately 97W to 99W longitude and 34.5N to 37N latitude. The HPCN dataset contains different parameters depending upon the reporting station. Each station provides Station Name, State, and Identification Number preceding that station's data within the dataset. Each parameter column has a self explanatory title indicating the data available for that station and parameter units.

Simple

Alternate title

Southern Great Plains 1997 (SGP97)

Date
Cited responsible party
Organisation name Individual name Electronic mail address Role

USDA/ARS > Agricultural Research Service, U. S. Department of Agriculture

Thomas Jackson

Tom.Jackson@ars.usda.gov

Originator
Purpose

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.

Status
Completed
Point of contact
Organisation name Individual name Electronic mail address Role

UCAR/NCAR/EOL > Earth Observing Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research

datahelp@eol.ucar.edu

Custodian

USDA/ARS > Agricultural Research Service, U. S. Department of Agriculture

Thomas Jackson

Tom.Jackson@ars.usda.gov

Originator

National Center for Atmospheric Research / Earth Observing Laboratory

Publisher
Maintenance and update frequency
Unknown

GCMD Earth Science and Earth Science Services

  • EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER

  • EARTH SCIENCE > ATMOSPHERE > PRECIPITATION

  • EARTH SCIENCE > AGRICULTURE > SOILS > SOIL MOISTURE/WATER CONTENT

GCMD Locations

  • CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA

NASA Global Change Master Directory Instruments

  • RAIN GAUGES

Data Source Affiliation

  • United States Department of Agriculture > Agricultural Research Service > Long-Term Agroecosystem Research

  • United States Department of Agriculture > Agricultural Research Service > Long-Term Agroecosystem Research > Southern Plains

Ag Data Commons Keywords

  • Agroecosystems & Environment

  • Agroecosystems & Environment > Soil

  • Agroecosystems & Environment > Water

  • Agroecosystems & Environment > Water > Hydrology

Ag Data Commons Project Name

  • Long-Term Agroecosystem Research - LTAR

  • Long-Term Agroecosystem Research - LTAR > Southern Plains

Crossref Funding

  • National Science Foundation

  • Agricultural Research Service

OMB Bureau Codes

  • Department of Agriculture=5 > Agricultural Research Service=005:018

Federal Program Inventory

  • Department of Agriculture=5 > National Research=005:040

Ag Data Common DOI Product Type

  • Dataset

Ag Data Commons Data License Type

  • U.S. Public Domain

National Agricultural Library Thesaurus (NALT)

  • soil water

  • satellites

  • Agricultural Research Service

  • Maryland

  • meteorology

  • watersheds

  • Oklahoma

  • climate

  • data collection

  • longitude

  • latitude

  • summer

  • algorithms

  • hydrologic models

  • temperature profiles

  • evolution

  • troposphere

  • Great Plains region

  • warm season

Use limitation

The algorithms used to produce the HPCN hourly surface data are not currently available. This data is provided "as is" in its original format. No additional quality control was preformed on this dataset by UCAR/JOSS.

Use constraints
Other restrictions
Other constraints

Cite this dataset when used as a source: Data provided by NCAR/EOL under sponsorship of the National Science Foundation. http://data.eol.ucar.edu/

Use constraints
Other restrictions
Other constraints

Please acknowledge us in your publications with text such as: Data provided by NCAR/EOL under sponsorship of the National Science Foundation. http://data.eol.ucar.edu/

Title

SGP97 Documentation

Date (Publication)
1997-06-15
Cited responsible party
Organisation name Individual name Electronic mail address Role

USDA/ARS > Agricultural Research Service, U. S. Department of Agriculture

sponsor
Title

SGP97 High Plains Climate Network Dataset

Date
Language

eng

Topic category
  • Environment
  • Farming
  • Climatology, meteorology, atmosphere
N
S
E
W
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Begin date
1997-06-18
End date
1997-07-18

Distributor

Distributor contact
Organisation name Individual name Electronic mail address Role

UCAR/NCAR/EOL > Earth Observing Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research

datahelp@eol.ucar.edu

Custodian
Distributor format
Name Version

Webpage

OnLine resource
Protocol Linkage Name

HTTP

http://data.eol.ucar.edu/cgi-bin/codiac/fgr_form/id=25.005

Order data for delivery by FTP

Metadata

File identifier
SGP97HPCN_jjm_2015-05-04_0903 XML
Metadata language

eng

Character set
UTF8
Hierarchy level
Dataset
Date stamp
2019-08-27T17:16:33
Metadata standard name

ISO 19115:2003/19139

Metadata standard version

1.0

Metadata author
Organisation name Individual name Electronic mail address Role

USDA National Agricultural Library

* Jocelyn McNamara

NAL-Geodata@ARS.USDA.GOV

Author
 
 

Overviews

Spatial extent

N
S
E
W
thumbnail




Keywords

Ag Data Common DOI Product Type

Dataset
Ag Data Commons Data License Type

U.S. Public Domain
Ag Data Commons Keywords

Agroecosystems & Environment Agroecosystems & Environment > Soil Agroecosystems & Environment > Water Agroecosystems & Environment > Water > Hydrology
Ag Data Commons Project Name

Long-Term Agroecosystem Research - LTAR Long-Term Agroecosystem Research - LTAR > Southern Plains
Crossref Funding

Agricultural Research Service National Science Foundation
Data Source Affiliation

United States Department of Agriculture > Agricultural Research Service > Long-Term Agroecosystem Research United States Department of Agriculture > Agricultural Research Service > Long-Term Agroecosystem Research > Southern Plains
Federal Program Inventory

Department of Agriculture=5 > National Research=005:040
GCMD Earth Science and Earth Science Services

EARTH SCIENCE > AGRICULTURE > SOILS > SOIL MOISTURE/WATER CONTENT EARTH SCIENCE > ATMOSPHERE > PRECIPITATION EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER
NASA Global Change Master Directory Instruments

RAIN GAUGES
National Agricultural Library Thesaurus (NALT)

Agricultural Research Service Great Plains region Maryland Oklahoma algorithms climate data collection evolution hydrologic models latitude longitude meteorology satellites soil water summer temperature profiles troposphere warm season watersheds
OMB Bureau Codes

Department of Agriculture=5 > Agricultural Research Service=005:018


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Associated resources

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