ET.McGuinnessBordne {Evapotranspiration} | R Documentation |
McGuinness-Bordne Formulation
Description
Implementing the McGuinness-Bordne formulation for estimating potential evapotranspiration.
Usage
## S3 method for class 'McGuinnessBordne'
ET(data, constants, ts="daily", message="yes",
AdditionalStats="yes", save.csv="no", ...)
Arguments
data |
A list of data which contains the following items (climate variables) required by McGuinness-Bordne formulation: Tmax, Tmin (degree Celcius) |
constants |
A list named |
ts |
Must be either |
message |
Must be either |
AdditionalStats |
"yes" or "no" indicating whether monthly averaged and annual averaged ET should be calculated. |
save.csv |
Must be either |
... |
Dummy for generic function, no need to define. |
Details
This formulation provides a single calculation method with no alternatives available.
Value
The function generates a list containing the following components:
ET.Daily |
Daily aggregated estimations of McGuinness-Bordne potential evapotranspiration. |
ET.Monthly |
Monthly aggregated estimations of McGuinness-Bordne potential evapotranspiration. |
ET.Annual |
Annually aggregated estimations of McGuinness-Bordne potential evapotranspiration. |
ET.MonthlyAve |
Monthly averaged estimations of daily McGuinness-Bordne potential evapotranspiration. |
ET.AnnualAve |
Annually averaged estimations of daily McGuinness-Bordne potential evapotranspiration. |
ET_formulation |
Name of the formulation used which equals to |
ET_type |
Type of the estimation obtained which is |
Author(s)
Danlu Guo
References
Oudin, L., Hervieu, F., Michel, C., Perrin, C., Andreassian, V., Anctil, F.Loumagne, C. 2005, Which potential evapotranspiration input for a lumped rainfall-runoff model?: Part 2-Towards a simple and efficient potential evapotranspiration model for rainfall-runoff modelling. Journal of Hydrology, vol. 303, no. 1-4, pp. 290-306.
Xu, C.Y.Singh, V.P. 2000, Evaluation and generalization of radiation-based methods for calculating evaporation., Hydrological Processes, vol. 14, no. 2, pp. 339-349.
See Also
ET
,processeddata
,defaultconstants
,constants
Examples
# Use processed existing data set and constants from kent Town, Adelaide
data("processeddata")
data("constants")
# Call ET.McGuinnessBordne under the generic function ET
results <- ET.McGuinnessBordne(processeddata, constants, ts="daily",
message="yes", AdditionalStats="yes", save.csv="no")