Pendergrass2020: FD identification by Pendergrass et al. (2021)

In pedroalencar1/fdClassify: Library of Flash Drought classificaition methods

FD identification by Pendergrass et al. (2021)

Description

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.

Usage

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

Arguments

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.

Details

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.

Value

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.

Examples

fd_Pendergrass <- Pendergrass2020(vtime = de_tha_d$time,
                                  vet0 = ET0$et0, limit.down = 10)

pedroalencar1/fdClassify documentation built on Sept. 15, 2023, 3:46 a.m.