Pendergrass2020: FD identification by Pendergrass et al. (2021)
In pedroalencar1/fdClassify2: Library of Flash Drought classificaition methods

Description Usage Arguments Details Value Examples

View source: R/Pendergrass2020.R

Identifies Flash Drougt evetns using EDDI variations, as described in Pendergrass et al. "Flash droughts present a new challenge for subseasonal-to-seasonal prediction", 2021.

1	Pendergrass2020(vtime, vet0, limit.down = 10)

`vtime`	a data.frame column or vector with daily time stamps (Date type)
`vet0`	a data.frame column or vector with ordered daily ET0 values. They can be obtained directly from reanalysis/models or from the functions `penman_day` or `hargreaves_day`
`limit.down`	a numeric value, indicating the limit of recuperation after onset. This criterion is additional, to flexibilise the original method. We set it's value to 10 as default. TO run the original method (more restrict) define it to 0.

This function is based on EDDI calculated according to Hobbings et al. (2016) DOI: 10.1175/jhm-d-15-0121.1 It uses a simple empirical Tukey plotting position to assess EDDI percentiles.

Function Pendergrass2020 retuns a list with two data frames. 1) a complete time stamped series containing relevant variables and FD events; 2) a summary of each event with its duration and interval of occurance.