issp: Calculate Indice Standardisé des Sécheresses Pluviométriques...

In flogrc/piflow: Precipitation and discharge analysis tools with zoo vector

Description

Calculate ISSP with rainfall anomaly with the mean rainfall by month with the length, the drought type and the intensity

Usage

issp(monthly_data)

Arguments

monthly_data

[zoo] rainfall monthly data in zoo class with date in %Y-%m-%d

Value

List that contains

• $issp [zoo] zoo with the issp values with date in %Y-%m-%d

• $length_zoo [zoo] zoo with the length of drought with date in %Y-%m-%d [day]

• $drought_type [zoo] zoo with the type of the period for each month

• $drought_number [data.frame] dataframe with the number of different period by type:

  • Extwet (issp > 2)
    

  • Verywet (1.99 > issp > 1.5)
    

  • Wet (1.49 > issp > 1)
    

  • Normal (0.99 > issp > -0.99)
    

  • Dry (-1 > issp > -1.49)
    

  • VeryDry (-1.5 > issp > -1.99)
    

  • ExtDry (-2 > issp)

Author(s)

Florine Garcia ([e-mail])

Pierre L'Hermite ([e-mail])

References

Pita, M.F. (2000) Un nouvel indice de sécheresse pour les domaines méditerranéens. Application au bassin de Guadalquivir (sud-ouest de l'Espagne). Plubications de l'Association Internationale de Climatologie, 13, 225-234. https://idus.us.es/xmlui/bitstream/handle/11441/32523/nice_2000_actes.pdf?sequence=1

See Also

plot_trend plot the index

Examples

## Loading data
data("dailyPrec_bv1")

## Index
result <- issp(dailyPrec)

## Plot index
plot_trend(result$issp, trend = TRUE, data_kind = "Precipitation",
name = PluvioData$PluvioName, axis_name_x = "Date",
axis_name_y = Monthly precipitation [mm/month], midvalue = 0)

flogrc/piflow documentation built on May 24, 2019, 7:34 a.m.