comp_GSIMdurfreq: Compute intermittency statistics for GSIM gauging stations

Usage Arguments Value

Usage

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comp_GSIMdurfreq(
  path_mo,
  path_sea,
  in_gaugep,
  maxgap,
  mdurthresh = 1,
  windowsize = 100,
  fullwindow = FALSE,
  monthsel = NULL,
  verbose = FALSE
)

Arguments

path_mo

(character) file path to a GSIM-formatted monthly streamflow time series table (e.g., ""C:/globalIRmap/data/GSIM/GSIM_indices/TIMESERIES/monthly/MA_0000010.mon")

path_sea

(character) file path to a GSIM-formatted seasonal streamflow time series table (e.g., ""C:/globalIRmap/data/GSIM/GSIM_indices/TIMESERIES/seasonal/MA_0000010.seas")

in_gaugep

(table; data.frame or data.table) of gauges' hydro-environmental attributes (including mean monthly temperature data)

maxgap

(integer) maximum number of days with missing data beyond which a year is not used in the computation of statistics

mdurthresh

(numeric) threshold of mean annual number of zero-flow days beyond which to classify gauge as intermittent.

windowsize

(integer) window size to check for zero-flow days.

fullwindow

(logical) whether years for which the window is truncated (e.g., beginning and end of time series) are taken in account in moving window analysis.

monthsel

(integer vector) selected months to compute the statistics over

verbose

whether to print input path

Value

One row data.table with 110 columns:

Determine general characteristics of the whole time series and of the subset of years that have less than a given threshold of missing data as well as intermittency statistics. The intermittency statistics can be computed for a subset of months of the year (e.g. only winter months)


NaiaraLopezRojo/globalIRmap documentation built on Dec. 17, 2021, 5:19 a.m.