Median Absolute Deviation Quality Control
This software will apply a very minimal QC stage to monthly temperature data (for example, from GHCN-M or ISTI), using the Median Absolute Deviation estimator.
For each combination of (station-id, element, named-month) the median and the median absolute deviation are calculated (MAD, which is the median of the distances of each datum from the median). At least 20 monthly values are required, if the number of values is insufficient, they are all rejected. Any value whose distance from the median exceeds 5 times the MAD is rejected.
The method is somewhat inspired by the "z-score" of Lawrimore et al, 2011.
Python 3 is required.
Reads the file
tavg.dat and creates the QC'd output
The input file should be in GHCN-M v3 .dat format. If the filename is not specified as an argument, a file matching the path
is used. If there are several, the ASCIIbetically last is chosen.
The QC'd output is written to a file based on the name of the input. If
the input is named
tavg.dat the output is named
the input has some other extension then
.qc.dat is simply appended).