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

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.

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FieldValue
Tags
Agroecosystems & Environment Water Evapotranspiration
Evapotranspiration
Eddy Covariance Flux
Evapotranspiration Partitioning
WUE Algorithms
NP215
Modified
2022-10-06
Release Date
2022-08-19
Frequency
Continuously
Identifier
b54a5341-27ed-4fe6-81d5-c617691c279d
Spatial / Geographical Coverage Area
POINT (-98.063128 35.559815)
POINT (-98.063063 35.567352)
POINT (-98.019466 35.5667)
Publisher
Ag Data Commons
Spatial / Geographical Coverage Location
Grazinglands Research Laboratory, El Reno, OK
Temporal Coverage
September 29, 2016 to June 30, 2018
License
U.S. Public Domain
Contact Name
Wagle, Pradeep
Contact Email
pradeep.wagle@usda.gov
Public Access Level
Public
Program Code
005:040 - Department of Agriculture - National Research
Bureau Code
005:18 - Agricultural Research Service
Extended Metadata: 
FieldValue
Authors
Pushpendra, Raghav (ORCID)
Wagle, Pradeep (ORCID)
Kumar, Mukesh (ORCID)
Banerjee, Tirtha (ORCID)
Neel, James P. (Scopus Author ID)
Peer Reviewed
Yes
Intended Use
This dataset is intended for use with the publication.
Equipment or Software Used
Fluxpart
EddyPro
ENVI
Funding Sources
National Science Foundation
OIA-2019561
National Science Foundation
EAR-1920425
Agricultural Research Service
3070-21610-003-00D
U.S. Department of Agriculture
USDA - LTAR
National Institute of Food and Agriculture
2019-68012-29888
National Science Foundation
EAR-1856054
Primary Article

Raghav, P., Wagle, P., Kumar, M., Banerjee, T., & Neel, J. P. S. (2022). Vegetation Index‐Based Partitioning of Evapotranspiration Is Deficient in Grazed Systems. Water Resources Research, 58(8). https://doi.org/10.1029/2022wr032067

AgID: 10113/7917038
Related Articles

Wagle, P., Gowda, P. H., Northup, B. K., Neel, J. P., Starks, P. J., Turner, K. E., Moriasi, D. N., Xiao, X., & Steiner, J. L. (2021). Carbon dioxide and water vapor fluxes of multi-purpose winter wheat production systems in the U.S. Southern Great Plains. Agricultural and Forest Meteorology, 310, 108631. https://doi.org/10.1016/j.agrformet.2021.108631

AgID: 7499580

Wagle, P., Skaggs, T. H., Gowda, P. H., Northup, B. K., Neel, J. P. S., & Anderson, R. G. (2021). Evaluation of Water Use Efficiency Algorithms for Flux Variance Similarity‐Based Evapotranspiration Partitioning in C <sub>3</sub> and C <sub>4</sub> Grain Crops. Water Resources Research, 57(5). https://doi.org/10.1029/2020wr028866

AgID: 10113/7458277

Khand, K., Bhattarai, N., Taghvaeian, S., Wagle, P., Gowda, P. H., & Alderman, P. D. (2021). Modeling Evapotranspiration of Winter Wheat Using Contextual and Pixel-Based Surface Energy Balance Models. Transactions of the ASABE, 64(2), 507-519. https://doi.org/10.13031/trans.14087

AgID: 10113/7329720

Tadesse, H. K., Moriasi, D. N., Gowda, P. H., Wagle, P., Starks, P. J., Steiner, J. L., Talebizadeh, M., Neel, J. P., & Nelson, A. M. (2021). Comparison of Evapotranspiration and Biomass Simulation in Winter Wheat under Conventional and Conservation Tillage Systems using APEX Model. Ecohydrology &Amp; Hydrobiology, 21(1), 55-66. https://doi.org/10.1016/j.ecohyd.2020.08.003

AgID: 7083137

Wagle, P., Gowda, P. H., Manjunatha, P., Northup, B. K., Rocateli, A. C., & Taghvaeian, S. (2019). Carbon and water dynamics in co-located winter wheat and canola fields in the U.S. Southern Great Plains. Agricultural and Forest Meteorology, 279, 107714. https://doi.org/10.1016/j.agrformet.2019.107714

AgID: 6593400

Wagle, P., Gowda, P. H., Northup, B. K., Turner, K. E., Neel, J. P., Manjunatha, P., & Zhou, Y. (2018). Variability in carbon dioxide fluxes among six winter wheat paddocks managed under different tillage and grazing practices. Atmospheric Environment, 185, 100-108. https://doi.org/10.1016/j.atmosenv.2018.05.003

AgID: 6495929
Dataset DOI (digital object identifier)
10.15482/USDA.ADC/1527834
Product Type
Dataset
FieldValue
ARIS Log Number
389525
OSTI Identifier
ISO Topic(s)
climatologyMeteorologyAtmosphere
environment
farming
State or Territory
Oklahoma
National Agricultural Library Thesaurus Term
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
Ag Data Commons Keywords
  • Agroecosystems & Environment
  • Water
  • Evapotranspiration
  • Agroecosystems & Environment
  • Water
  • Agroecosystems & Environment
Program
Long-Term Agroecosystem Research - LTAR
Southern Plains

Suggested Citations:

(original article) Raghav, P., Wagle, P., Kumar, M., Banerjee, T., & Neel, J. P. S. (2022). Vegetation Index‐Based Partitioning of Evapotranspiration Is Deficient in Grazed Systems. Water Resources Research, 58(8). https://doi.org/10.1029/2022wr032067

(dataset) 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 . Accessed 2023-12-11.