temporal_coherence | R Documentation |
Find those records where daily maximum or minimum temperature, mean wind speed, snow depth, snow cover, or fresh snow differences with previous day are too large.
temporal_coherence(
dailydata,
meta = NULL,
outpath,
temp_jumps = 20,
windspeed_jumps = 15,
snowdepth_jumps = 50
)
dailydata |
A character string giving the path of the input file, or a 5-column matrix with following columns: variable code, year, month, day, and the daily value. |
meta |
A character vector with 6 elements: station ID, latitude, longitude,
altitude, variable code, units. If |
outpath |
Character string giving the path for the QC results. |
temp_jumps |
given a daily maximum or minimum temperature values of two consecutive days, maximum difference in degrees Celsius. By default, temp_jumps = 20 C. |
windspeed_jumps |
given a daily mean wind speed value of two consecutive days, maximum difference in metres per second. By default, wind_jumps = 15 m/s. |
snowdepth_jumps |
given a daily snow depth of two consecutive days, maximum difference in centimetres. By default, snowdepth_jumps = 50 cm. |
The input file must follow the Copernicus Station Exchange Format (SEF).
Alba Gilabert, Yuri Brugnara
temporal_coherence(Rosario$Tx, Meta$Tx, outpath = tempdir(), temp_jumps = 10)
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