How to interpret the statistic of the DAQUAMAP results



In the following table you find some details about the titles which are used in the DAQUAMAP statistics:

Acronym meaning calculation/unit remarks
WMOIND WMO Indicator    
Name Name of the station    
Lat Latitude deg, primes wrong lat may be an error source
Lon Longitude deg, primes wrong lon may be an error source
Hght height of the station according to WMO List m if this value is different from the one in the institution's list, this is not an error source because we use the msl pressure as it was reported on GTS. Nevertheless wrong station heights are a frequent source for systematic errors.
N Number of messages received at IMGW between 1.1.1998 and 31.12.1998   Varies from station to station due to different observation schedules, missing messages etc.
PGE Percentage of gross errors 100*n/N
N: number of messages received
n: values exceeding
or
Only stations are listed with an absolute number of cases >1. This number may be interpreted as the number of occurrence of error type IV 1).
Me Median of the deviation estimate   Only stations are plotted with an absolute median of 0.5 {hPa,K}. This value may be interpreted as the magnitude of a type type III 1).
IQR Interquartile range Measure of the variability of the deviation estimates. Gives a hint for errors type I and II 1).
Mea Mean value of the deviation estimates May also be interpreted as the magnitude of a type III 1) but is sensitive to outliers.
SDV Standard Deviation Measure for the variability of the deviation estimates. Gives a hint for errors of type III 1) but is sensitive to outliers.


1)
where the indices stand for
r representative value for the scale in view ("true value")
b deviation due to subscale meteorological effects (e.g. heat island in cities)
n meteorological noise (random subscale effects, e.g. turbulence)
se systematic observational error (e.g. sensor calibration error)
re random error (observational, encoding, transmission, decoding, etc.)