Ag Data Commons
Browse

File(s) stored somewhere else

Please note: Linked content is NOT stored on Ag Data Commons and we can't guarantee its availability, quality, security or accept any liability.

SGP97 GCIP/NESOB Surface: National Centers for Environmental Prediction (NCEP) Miscellaneous Hourly Precipitation Data

dataset
posted on 2023-11-30, 08:41 authored by Long-Term Agroecosystem Research - LTAR, Southern Plains

The National Centers for Environmental Prediction (NCEP) Miscellaneous Precipitation Dataset is one of several precipitation datasets provided in the Global Energy and Water Cycle Experiment (GEWEX) Continental-Scale International Project (GCIP) Near-Surface Observation Data Set (NESOB) 1997. This dataset contains all hourly precipitation data from the National Centers for Environmental Prediction (NCEP) stations. Stations that reported at standard or incremental times are also included in the various NESOB 1997 precipitation composite datasets. The miscellaneous precipitation dataset contains data from stations in the NESOB 1997 domain (94.5 W to 100.5W longitude and 34N to 39N latitude) and time period (01 April 1997 through 31 March 1998). These data were not quality controlled by the University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS). The National Centers for Environmental Prediction (NCEP) Miscellaneous Precipitation Dataset contains eight parameters and uses code tables from the Standard Hydrometeorological Exchange Format (SHEF). The eight parameters repeat once for each time period, where the time period is nominally hourly. The Physical Element code field should always contain a PP indicating that the precipitation data is reported as incremental values. Missing values are not reported. Each precipitation value has an associated observation date and time which are UTC times. The algorithms used to form the NCEP Precipitation data are not currently available.


Resources in this dataset:

Funding

Agricultural Research Service

National Science Foundation

History

Data contact name

Jackson, Thomas

Data contact email

Tom.Jackson@ars.usda.gov

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.

Temporal Extent Start Date

1997-04-01

Temporal Extent End Date

1998-03-31

Theme

  • Not specified

Geographic Coverage

{"type":"FeatureCollection","features":[{"geometry":{"type":"Polygon","coordinates":[[[-100.5,39],[-94.5,39],[-94.5,34],[-100.5,34],[-100.5,39]]]},"type":"Feature","properties":{}}]}

ISO Topic Category

  • climatologyMeteorologyAtmosphere

Ag Data Commons Group

  • Southern Plains
  • Long-Term Agroecosystem Research

National Agricultural Library Thesaurus terms

prediction; atmospheric precipitation; data collection; energy; hydrologic cycle; longitude; latitude; hydrometeorology; algorithms

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

Long-Term Agroecosystem Research - LTAR; Southern Plains (2020). SGP97 GCIP/NESOB Surface: National Centers for Environmental Prediction (NCEP) Miscellaneous Hourly Precipitation Data. National Center for Atmospheric Research / Earth Observing Laboratory.

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC