reddPrec (version 3.0.2)

eqc_Plot: Enhanced quality control plots for daily precipitation

Description

The function create a matrix plot of the enhanced quality control tests for daily precipitation

Usage

eqc_Plot(xts_obj)

Arguments

xts_obj

xts of a single time series

Details

Six plots are built based on daily precipitation: time series, truncation, time series (threshold = 5 mm), small gaps, precision and rounding patterns and weekly cycle. These provide a visual inspection (Hunziker et al., 2017) but also how the automatic application (Huerta et al., 2020) of the enhanced quality control is applied.

References

Hunziker, S., Gubler, S., Calle, J., Moreno, I., Andrade, M., Velarde, F., ... & Brönnimann, S. (2017). Identifying, attributing, and overcoming common data quality issues of manned station observations. https://doi.org/10.1002/joc.5037

Huerta, A., Serrano-Notivoli, R., & Brönnimann, S. (2024). SC-PREC4SA: A serially complete daily precipitation dataset for South America. https://doi.org/10.31223/X57D8R

Examples

if (FALSE) {
set.seed(123)

# creating fake daily precipitation data
dates_t <- seq(as.Date("1980-01-01"), as.Date("2015-12-31"), by = "day")
prec <- round(rnorm(length(dates_t), mean = 1.2, sd = 6), 1)
prec[prec<0] <- 0
xts_obj <- xts::xts(prec, dates_t)
names(xts_obj) <- "prec"

# enhanced qc plots
eqc_Plot(xts_obj)

# it also work if there is some empty data (but not if all is NA)
xts_obj["1990/2010"] <- NA
eqc_Plot(xts_obj)
}