Mo2016: FD identification based on Mo & Lettenmeier (2015, 2016)
| Mo2016 | R Documentation |
FD identification based on Mo & Lettenmeier (2015, 2016)
Description
FD identification based on Mo & Lettenmeier (2015, 2016)
Usage
Mo2016(
vtime,
vprecipitation,
vtemperature,
vsoil_water,
vlatent_heat = NULL,
vevap = NULL,
flux_data = T
)
Arguments
vtime |
data frame column or vector containing |
vprecipitation |
data frame column or vector containing daily precipitation |
vtemperature |
data frame column or vector containing daily temperature |
vsoil_water |
data frame column or vector containing soil water content (soil moisture) |
vlatent_heat |
data frame column or vector containing daily total latent heat flux (to calculate actual evapotranspiration) |
vevap |
data frame column or vector containing daily actual evapontranspiration (if already available) |
flux_data |
boolean, indicates if the data is from eddy covariance stations. |
Value
The function returns a list with two data frames. One with pentad and detailed values from the function and a second with a summary of all events identified.
Examples
fd_Mo <- Mo2016(vtime = df_d$time, vprecipitation = df_d$precipitation,
vtemperature = df_d$temperature, vsoil_water = df_d$soil_water,
vlatent_heat = df_d$latent_heat, flux_data = T)
