Evapotranspiration (version 1.3)

ETComparison: Plot esimtated evapotranspiration with climate variables

Description

Produce comparison plots for results and statistics from different estimations produced by using different formulations and/or different input data. The number of different sets of results can be between 2 and 7. Plotting type can be selected among daily aggregation, monthly aggregation, annual aggregation, monthly average and annual average. For each type three comparison plots will be produced including time series, non-exceedance probability and box plot.

Usage

ETComparison(results1, results2, results3 = NULL, results4 = NULL, results5 = NULL, 
results6 = NULL, results7 = NULL, type = "Monthly", ymin = NULL, ymax = NULL)

Arguments

results1

A list named "results" which has been derived from function ET..() which can be of any class such as "Penman", "PenmanMonteith" and "PriestleyTaylor.

results2

A list named "results" which has been derived from function ET..() which can be of any class such as "Penman", "PenmanMonteith" and "PriestleyTaylor.

results3

A list named "results" which has been derived from function ET..() which can be of any class such as "Penman", "PenmanMonteith" and "PriestleyTaylor. The default is NULL if the user requires the comparison between only two sets of results.

results4

A list named "results" which has been derived from function ET..() which can be of any class such as "Penman", "PenmanMonteith" and "PriestleyTaylor. The default is NULL if the user requires the comparison among only three sets of results.

results5

A list named "results" which has been derived from function ET..() which can be of any class such as "Penman", "PenmanMonteith" and "PriestleyTaylor. The default is NULL if the user requires the comparison among only four sets of results.

results6

A list named "results" which has been derived from function ET..() which can be of any class such as "Penman", "PenmanMonteith" and "PriestleyTaylor. The default is NULL if the user requires the comparison among only five sets of results.

results7

A list named "results" which has been derived from function ET..() which can be of any class such as "Penman", "PenmanMonteith" and "PriestleyTaylor. The default is NULL if the user requires the comparison among only six sets of results.

ymin

Allows user-defined lower limit of the y-axis for plotting, the default is 0.

ymax

Allows user-defined upper limit of the y-axis for plotting, the default is 1.5 times of maximum value from the first set of result that is used to compare with others.

type

A character string indicating the type of plot produced, can be one of the following: "Daily" - comparison plots of estimated daily evapotranspiration; "Monthly" - comparison plots of monthly aggregated evapotranspiration; "Annual" - comparison p

Value

• Three plots are generated for each type of comparison plot selected, including: 1) time series plot of the estimated/aggregated/averaged values from each set of result; 2) non-exceedance plot of the distribution of estimated/aggregated/averaged values from each set of result; 3) box plot of the distribution of estimated/aggregated/averaged values from each set of result.

Examples

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

# Set data class to be "Penman" to call function
funname <- "Penman" 
class(data) <- funname 

# Call generic function ET(data, constants, ...) with class "Penman"
results_Penman <- ET(data, constants, solar="sunshine hours", wind=
"yes", windfunction_ver = "1948", alpha = 0.26, z0 = 0.02) 

# Set data class to be "PenmanMonteith" to call function
funname <- "PenmanMonteith" 
class(data) <- funname 

# Call generic function ET(data, constants, ...) with class "PenmanMonteith"
results_PenmanMonteith <- ET(data, constants, solar="sunshine hours", wind="yes", crop="short") 

# Plot the estimated Penman open-water evaporation against average temperature
ETComparison(results_Penman, results_PenmanMonteith, type = "Monthly", ymin = NULL, ymax = NULL)