ETForcings: Plot esimtated evapotranspiration with climate variables

Description Usage Arguments Value Author(s) See Also Examples

View source: R/Plotting.R

Description

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

Usage

1
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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
# 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(data, constants, ts="daily", solar="sunshine hours", 
wind="yes", windfunction_ver = "1948", alpha = 0.08, z0 = 0.001) 

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

Evapotranspiration documentation built on Nov. 17, 2017, 7:01 a.m.