ET.Hamon {Evapotranspiration} | R Documentation |
Hamon Formulation
Description
Implementing the Hamon formulation for estimating potential evapotranspiration.
Usage
## S3 method for class 'Hamon'
ET(data, constants = NULL, ts="daily", message="yes", AdditionalStats="yes",
save.csv="no", ...)
Arguments
data |
A list of data which contains the following items (climate variables) required by Hamon formulation: |
constants |
Dummy argument with a |
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 Hamon potential evapotranspiration. |
ET.Monthly |
Monthly aggregated estimations of Hamon potential evapotranspiration. |
ET.Annual |
Annually aggregated estimations of Hamon potential evapotranspiration. |
ET.MonthlyAve |
Monthly averaged estimations of daily Hamon potential evapotranspiration. |
ET.AnnualAve |
Annually averaged estimations of daily Hamon 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
Hamon, W. R. 1961. Estimating potential evapotranspiration. Journal of the Hydraulics Division, 87, 107-120.
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.
See Also
Examples
# Use processed existing data set and constants from kent Town, Adelaide
data("processeddata")
data("constants")
# Call ET.Hamon under the generic function ET
results <- ET.Hamon(processeddata, ts="daily", message="yes", AdditionalStats="yes", save.csv="no")