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Data from: Vegetation index-based partitioning of evapotranspiration is deficient in grazed systems

dataset
posted on 2024-02-13, 16:22 authored by Raghav Pushpendra, Pradeep Wagle, Mukesh Kumar, Tirtha Banerjee, James P. Neel

The dataset includes 30 minutes values of partitioned evaporation (E) and transpiration (T), T:ET ratios, and other ancillary datasets for three ET partitioning methods viz. Flux Variance Similarity (FVS) method, Transpiration Estimation Algorithm (TEA), and Underlying Water Use Efficiency (uWUE) method for three wheat sites. Three wheat sites had different grazing treatments. For example, Site 1 was Grain-only and Graze-grain wheat for the 2016-17 and 2017-18 growing seasons, respectively. Site 2 was Grain-only wheat for the 2017-18 growing season. Site 3 was Graze-grain and Graze-out wheat for the 2016-17 and 2017-18 growing seasons, respectively.

The grain-only wheat system is a single purpose to produce wheat grains only. Graze-grain wheat system has a dual purpose as it serves as a pasture for grazing cattle from November to February and is used to produce wheat grains later. Graze-out wheat system is also a single purpose crop that is grazed by the cattle for the entire season to solely serve as a pasture.

FVS method performed ET partitioning using the high frequency (10 Hz) data collected from Eddy Covariance Flux stations, located near the middle of each field. The high-frequency data were also processed using the EddyPro software to get good quality estimates of different fluxes at 30-minute intervals. The processed 30-min data were used by TEA and uWUE methods for ET partitioning. Ancillary hydro-meteorological variables including net radiation, air temperature, soil water content, relative humidity, and others, also have been included in this dataset.

The study sites were located at the United States Department of Agriculture, Agricultural Research Service (USDA-ARS), Grazinglands Research Laboratory, El Reno, Oklahoma. All sites were rainfed.


Resources in this dataset:

  • Resource Title: FVS output and other met data and site info.

    File Name: FVS_output_and_other_met_data_and_site_info.xlsx

    Resource Description: Output of FVS model along with corresponding meteorological data and site metadata.


  • Resource Title: TEA output.

    File Name: TEA_output.xlsx

    Resource Description: Out from TEA model along with site metadata.


  • Resource Title: WUE output.

    File Name: uWUE_output.xlsx

    Resource Description: Output of WUE model run along with site metadata.

Funding

National Science Foundation: OIA-2019561

National Science Foundation: EAR-1920425

USDA-ARS: 3070-21610-003-00D

USDA: USDA - LTAR

USDA-NIFA: 2019-68012-29888

National Science Foundation: EAR-1856054

History

Data contact name

Wagle, Pradeep

Data contact email

pradeep.wagle@usda.gov

Publisher

Ag Data Commons

Intended use

This dataset is intended for use with the publication.

Temporal Extent Start Date

2016-09-29

Temporal Extent End Date

2018-06-30

Frequency

  • continual

Theme

  • Not specified

Geographic Coverage

{"type":"FeatureCollection","features":[{"geometry":{"type":"Point","coordinates":[-98.063128,35.559815]},"type":"Feature","properties":{}},{"geometry":{"type":"Point","coordinates":[-98.063063,35.567352]},"type":"Feature","properties":{}},{"geometry":{"type":"Point","coordinates":[-98.019466,35.5667]},"type":"Feature","properties":{}}]}

Geographic location - description

Grazinglands Research Laboratory, El Reno, OK

ISO Topic Category

  • climatologyMeteorologyAtmosphere
  • environment
  • farming

Ag Data Commons Group

  • Southern Plains
  • Long-Term Agroecosystem Research

National Agricultural Library Thesaurus terms

evapotranspiration; data collection; transpiration; algorithms; water use efficiency; wheat; grazing; eddy covariance; hydrometeorology; air temperature; soil water content; soil water; relative humidity; grazing lands; agroecosystems

OMB Bureau Code

  • 005:18 - Agricultural Research Service

OMB Program Code

  • 005:040 - National Research

ARS National Program Number

  • 215

Primary article PubAg Handle

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

Pushpendra, Raghav; Wagle, Pradeep; Kumar, Mukesh; Banerjee, Tirtha; Neel, James P. (2022). Data from: Vegetation index-based partitioning of evapotranspiration is deficient in grazed systems. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1527834