Data
Quality Control (QC): the basics
•For
QC of meteorological Data, complex solutions that are
based on physical, meteorological, technological, linguistic considerations are
needed
•QC
procedures must not change any values of Data – only QC flags must be attributed to
values, so that step back should be possible at any point
•QC
algorithms are not magic – for meteorological data, they often decline from QC solutions
and flagging (time series with gaps, sparse network of stations, etc.)