Description Usage Arguments Details Value Author(s) References See Also Examples
View source: R/Evapotranspiration.R
Implementing the McGuinness-Bordne formulation for estimating potential evapotranspiration.
1 2 3 |
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. |
This formulation provides a single calculation method with no alternatives available.
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 |
Danlu Guo
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.
ET
,processeddata
,defaultconstants
,constants
1 2 3 4 5 6 7 | # 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")
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Loading required package: zoo
Attaching package: ‘zoo’
The following objects are masked from ‘package:base’:
as.Date, as.Date.numeric
McGuinness-Bordne Potential ET
Timestep: daily
Units: mm
Time duration: 2001-03-01 to 2004-08-31
1280 ET estimates obtained
Basic stats
Mean: 3.97
Max: 10.2
Min: 1.23
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