Correct rain gauge precipitation data for wind and evaporation errors after Richter (1995)
Correct rain gauge precipitation data for wind and evaporation errors after Richter (1995)
correct_prec(month, tavg, prec, station.exposure = "mg", full_output = FALSE)
month |
Vector of months. |
tavg |
Vector of air temperature values (deg C). Same length as
|
prec |
Vector of measured rainfall vales (mm). Same length as
|
station.exposure |
Situation of the weather station where prec was measured: one of 'frei', 'lg', 'mg', 'sg' (corresponding to full exposure, low protected, moderate protected, strong protected situation). |
full_output |
Logical wether to return the full data set additionally including input data, correction coefficients. |
A vector of corrected rainfall data, or (if full_output ==
TRUE
) a data.table containing the input objects, the month, the
precipitation type ('N4So': liquid rain, summer; 'N4Wi' liquid rain,
winter; 'N8' = sleet, 'N7' = snow), correction coefficients epsilon and b,
and the corrected rainfall.
Richter, D. (1995) Ergebnisse methodischer Untersuchungen zur Korrektur des systematischen Messfehlers des Hellmann-Niederschlagsmessers. Berichte des Deutschen Wetterdienstes, 194, 93 pp, Offenbach, Germany
clim <- slb1_meteo[as.integer(format(slb1_meteo$dates,"%Y")) %in% 2001:2005,] clim$month <- as.integer(format(clim$dates, "%m")) prec_meas <- clim$prec correct_prec_frei <- with(clim, correct_prec(month, tmean, prec, station.exposure = "frei")) correct_prec_lg <- with(clim, correct_prec(month, tmean, prec, station.exposure = "lg")) correct_prec_mg <- with(clim, correct_prec(month, tmean, prec, station.exposure = "mg")) correct_prec_sg <- with(clim, correct_prec(month, tmean, prec, station.exposure = "sg")) plot(clim$dates, cumsum(correct_prec_frei), type = "l", col = "violet", xlab = "dates", ylab = "cum. precipitation (mm)") lines(clim$dates, cumsum(correct_prec_lg), col = "blue") lines(clim$dates, cumsum(correct_prec_mg), col = "green") lines(clim$dates, cumsum(correct_prec_sg), col = "red") lines(clim$dates, cumsum(prec_meas)) legend('bottomright', c('frei', "lg", "mg", "sg"), col = c("violet", "blue", "green", "red", "black"), lty = 1, pch = NULL )
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