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: 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
Data from: Carbon sequestration and biodiversity co‐benefits of preserving forests in the western United States
Forest carbon sequestration via forest preservation can be a viable climate change mitigation strategy. Here, we identify forests in the western conterminous United States with high potential carbon sequestration and low vulnerability to future drought and fire, as simulated using the Community Land Model and two high carbon emission scenario (RCP 8.5) climate models.
RZWQM2
Root Zone Water Quality Model 2 (RZWQM2) is a whole-system model for studying crop production and environmental quality under current and changing climate conditions. It emphasizes the effects of agricultural management practices on physical, chemical and biological processes. RZWQM2 is a one-dimensional model with a pseudo 2-dimensional drainage flow. Crop simulation options include the generic plant growth model, DSSAT-CSM 4.0 and HERMES SUCROS models. It also can simulate surface energy balance with components from the SHAW model and water erosion from the GLEAMS model. An automated parameter estimation algorithm (PEST) was added to RZWQM2 for objective model calibration and uncertainty analysis.