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- centre (4-characters string) is the WMO identifier of the originating centre (ammc, cwao, ecmf, edzw, egrr, kwbc, lfpw, rjtd, rksl, rums etc);
model_id (variable-length string) is free model identifier assigned by the originating centre (to distinguish between potentially different models provided by the centre);
- yyyymm is the month of the mean, where yyyy is the year and mm is the month (01-12);
- time is the time (in hours UTC) when the forecasts included in the mean have been validating;
- forecast_step is the length of the forecast (in hours);
- station_id is the name and/or numeric ID of the observation station verifying the forecasts;
- latitude is the latitude of the observation station verifying the forecasts;
- longitude is the longitude of the observation station verifying the forecasts;
- station_elevation is he elevation of the observation station above the mean sea level in meters;
- parameter is the parameter and level of the verified model parameter:
level
parameter | description |
---|---|
t2m | air temperature at 2 meters above the model orography surface and corrected to the station actual elevation using the constant lapse rate 6K/1000m |
tp24 | total precipitation accumulated over previous 24 hours |
ff10m | wind speed at 10 meters above the model orography surface |
- score is the name of verification score or statistics:
score | description | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
me | mean error (bias), computed as FC-OBS | |||||||||
ct | contingency table, the 4 values are Misses,Hits,CorrectRejections,FalseAlarms
|
- event is the name of the event (for contingency tables)
event | description |
---|---|
val>1 | forecast/observed value greater than 1 unit of the forecast parameter |
an>4 | forecast/observed anomaly with respect to the station climate mean greater than 4 units of the forecast value |
an<-1.5std | forecast/observed anomaly with respect to the station climate mean less than -1.5 times the standard deviation of the climate at the observation station |
- sample_size is number of observations use to compute the monthly mean at the given station;
- mean_value is the value or values of the score mean; in case of contingency table these are the 4 values delimited by comma
- period
- score
- event
- sample_size
- mean_value