multicriteria_fd: Multiple criteria method of FD classification
In pedroalencar1/fdClassify: Library of Flash Drought classificaition methods

multicriteria_fd

R Documentation

Multiple criteria method of FD classification

Usage

multicriteria_fd(
  vtime,
  vtemp,
  vprec,
  vet0,
  veta,
  score = 0.6,
  d_score = 0.2,
  thresholds = c(1, 0, 0, 0, -2, 50, 10, 30)
)

Arguments

`vtime`	data frame column or vector containing `date` data
`vtemp`	data frame column or vector containing daily temperature
`vprec`	data frame column or vector containing daily precipitation
`vet0`	data frame column or vector containing daily ET0 (potential evapotranspiration). It can be obtained with the function (penman_day)} \item{veta}{data frame column or vector containing daily ETa (actual evapotranspiration). It can be obtained with the function (actual_evap_day)} \item{score}{a number ranging from 0 to 100. The percentile above which events will be considered flash droughts.} \item{thresholds}{a vector with multiple threshold values. View details for more information. We advise not to change from the default values.} } { The function returns a list with two data frames. One with weekly and detailed values from the function and a second with a summary of all events identified. } { Multiple criteria method of FD classification } { The `thresholds` vector contains 8 elements respectively: The threshold used for cleaning data in Christian et al. method (`Christian_clean_data_week`). It indicates the maximum value accepted for the ration ETa/ET0. The default is 1.1, allowing ETa marginally higher than ET0. This reduces significatly the number o missing data. General threshold for anomalies. Indicates the number of standard deviations to the average for the anomalies. The default value is 1. SPEI threshold. The value to be considered under drought conditions. The default value is the same froim Noguera et al. (2020), i.e., -1.28 General threshold for accumulated anomalies. Indicated the sum of weekly anomalies accumulated over a period of 4 weeks. The default value is 3. SESR and SPEI intensifications. The accumulated difference over 4 weeks. The default value is -2. 6 and 7) EDDI intensification and recuperation. The values are the same from `Pendergrass2020`. Default: 50 and 10 respectively Delta_SESR percentile. Indicates the percentile of the difference over 4 weeks. We used the same threshold from Christian et al. 2020 for default (30th percentile.) } { ET0 <- penman_day(vtime = de_tha_d$time, vwind = de_tha_d$wind_speed, vtemp = de_tha_d$temperature, vvpd = de_tha_d$vapor_p_def, vheatflux = (de_tha_d$sensible_heat + de_tha_d$latent_heat))[,2] ETa <- actual_evap_day(vtime = de_tha_d$time,vlatent_heat =de_tha_d$latent_heat, vtemperature = de_tha_d$temperature)[,2] multi_criteria_fd <- multicriteria_fd(vtime = de_tha_d$time, vtemp = de_tha_d$temperature, vprec = de_tha_d$precipitation, vet0 = ET0, veta = ETa) }