eqc_Plot {reddPrec} | R Documentation |
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
## Not run:
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)
## End(Not run)