temporal_coherence: Daily temporal coherence test

Description

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.

Usage

temporal_coherence(
  dailydata,
  meta = NULL,
  outpath,
  temp_jumps = 20,
  windspeed_jumps = 15,
  snowdepth_jumps = 50
)

Arguments

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 dailydata is a path, meta is ignored.
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.

Author

Alba Gilabert, Yuri Brugnara

Details

The input file must follow the Copernicus Station Exchange Format (SEF).

Examples

Run this code

temporal_coherence(Rosario$Tx, Meta$Tx, outpath = tempdir(), temp_jumps = 10)

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