Alfalfa flux footprint experiment 2021
Four eddy-covariance (EC) sensors were deployed at two heights upwind and within alfalfa plot trials at San Joaquin Valley Ag Science Center. The purpose of the experiment was to evaluate the robustness of flux footprint models under different atmospheric stability conditions. At each of the two locations, an EC sensor was mounted at an unconventionally low height (~1 meter) and a second at a more typical height (~2.5 m). Supplementary sensors were co-located to measure net radiation, soil heat flux, and other parameters necessary to evaluate closure of the surface energy budget.
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 the three wheat sites. The dataset also contains remote sensing-derived Enhanced Vegetation Index (EVI) data for each site.
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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 the three wheat sites. The dataset also contains remote sensing-derived Enhanced Vegetation Index (EVI) data for each site.
- 3x xlsx
Data from: Evaluation of Water Use Efficiency Algorithms for Flux Variance Similarity-based Evapotranspiration Partitioning in C3 and C4 Grain Crops
The dataset includes 30 min values of partitioned evaporation (E) and transpiration (T) and T:ET ratios for five WUE algorithms during a month of peak growth period for five grain crops modelled in Fluxpart using data collected from Eddy Covariance Flux stations.
- 6x xlsx
The Long-Term Agroecosystem Research (LTAR) Network Standard GIS Data Layers, 2020 version
A geodatabase of standard geospatial data for the Long-Term Agroecosystem Research Network.
SGP97 GCIP/NESOB Surface: Sensible, Latent and Ground Heat Flux Composite
This Sensible, Latent and Ground Heat Flux composite was formed from three data sources: the ARM Southern Great Plains (SGP) Clouds and Radiation Testbed (CART) Energy Balance/Bowen Ratio (EBBR) sites, the National Oceanic and Atmospheric Administration (NOAA)/Atmospheric Turbulence and Diffusion Division (ATDD) Little Washita Watershed site, and the ARM SGP Eddy Correlation (ECOR) sites. Data from 14 ARM/EBBR stations, 1 NOAA/ATDD station, and 8 ARM/ECOR stations were merged to form this composite.
AmeriFlux ecosystem observation datasets - Walnut Gulch Experimental Watershed - Kendall Grasslands
NAL Geospatial Catalog
Energy and CO2 Fluxes have been monitored from 1997 to 2007 using Bowen Ratio technique, and since spring of 2004 with eddy covariance. This is located in a small intensively-studied, experimental watershed within USDA-ARS's Walnut Gulch Experimental Watershed.
LTAR - Meteorological Stations - R.J. Cook Agronomy Farm - Cook East
USDA-ARS Northwest Sustainable Agroecosystems Research (NSAR) and Washington State University (WSU) established a long-term meteorological and eddy covariance tower in 2017.