Description Usage Arguments Value Note Author(s) References See Also Examples
Calculates the average difference between the series of mean daily temperatures calculated by (Tmax + Tmin) / 2 and the average calculated by 24 hourly values a day, as resulting from the interpolation (or from measurements). The function works on data tables with series on columns.
1 | bias(TMIN, TMAX, TMEAN, min_valid = 21)
|
TMIN |
data frame with daily minimum temperatures in columns. The first 3 columns are skipped (dates as year, month and day are supposed to be stored in these columns) |
TMAX |
same for TMAX |
TMEAN |
same for TMEAN. Should come from 24-hour daily means. |
min_valid |
min nr. of valid days in a month for
retaining its average value (if valid days are fewer,
monthly value is |
A vector of means of daily biases, where the TMEAN
is considered the "true" (reference) value
Biases are calculated only on columns that are present in
both TMIN
/TMAX
and TMEAN
Emanuele Eccel, Emanuele Cordano emanuele.eccel@iasma.it
Eccel, E., 2010: What we can ask to hourly temperature recording. Part II: hourly interpolation of temperatures for climatology and modelling. Italian Journal of Agrometeorology XV(2):45-50 http://www.agrometeorologia.it/documenti/Rivista2010_2/AIAM%202-2010_pag45.pdf,www.agrometeorologia.it
See also: Eccel, E., 2010: What we can ask to hourly temperature recording. Part I: statistical vs. meteorological meaning of minimum temperature. Italian Journal of Agrometeorology XV(2):41-43. http://www.agrometeorologia.it/documenti/Rivista2010_2/AIAM%202-2010_pag41.pdf,www.agrometeorologia.it
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