ETForcings: Plot esimtated evapotranspiration with climate variables

In Evapotranspiration: Modelling Actual, Potential and Reference Crop Evapotranspiration

Description

Produce plot of daily, monthly and annual averaged estimated evapotranspiration with selected climate variables of the same time step.

Usage

ETForcings(data, results, forcing)

Arguments

data	A list of data named data which must contain a component with the name of a climate variable that the estimated evapotranspiration should be plotted against, see forcing.
results	A list named results which has been derived from function ET.
forcing	A character string as the name of a climate variable that the estimated evapotranspiration should be plotted against, can be any of: Tmax - maximum temperature, Tmin - minimum temperature, u2 - average wind speed at 2m, uz - average wind speed, Rs - solar radiation, n - daily sunshine hours, Precip - precipitation, Epan - Class-A pan evaporation, RHmax - maximum relative humidity, RHmin - minimum relative humidity, Tdew - average dew point temeprature.

Value

Three plots are generated for the response of calculated evapotranspiration to each climate variable, including:
1) daily evapotranspiration estimate vs. daily average temperature;
2) monthly mean daily evaporationion estimate vs. monthly average temperature;
3) annual mean daily evaporationion estimate vs. annual average temperature.

Author(s)

Danlu Guo

See Also

ETPlot

Examples

# Use processed existing data set and constants from kent Town, Adelaide
data("processeddata")
data("constants")

# Call ET.Penman under the generic function ET
results <- ET.Penman(processeddata, constants, ts="daily", solar="sunshine hours",
wind="yes", windfunction_ver = "1948", alpha = 0.08, z0 = 0.001, save.csv="no")

# Plot the estimated Penman open-water evaporation against average temperature
ETForcings(processeddata, results, forcing = "Tmax")

Evapotranspiration documentation built on Jan. 10, 2022, 9:06 a.m.