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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 validity time (in hours UTC) when of the forecasts included in the mean have been validatingverified;
- 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 the elevation of the observation station above the mean sea level in meters;
- parameter is the verified model output parameter:
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| score | description | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| me | mean error (bias), computed as forecast minus observation | |||||||||
| mae | mean absolute error | |||||||||
| rmse | root mean square error | |||||||||
| ct | contingency table, the 4 values are misses, hits, correct non-events, and false alarms (in this order)
|
- event is the name of the event (for contingency tables)
| event | description | ||
|---|---|---|---|
| val>1val>thr | forecast/observed value greater than 1 unit a threshold value of the forecast parameteran>4, e.g. for wind speed >15 m/s: val>15 | ||
| val<=thr | forecast/observed | anomaly with respect to the station climate mean greater than 4 units of the forecast valuean<-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 stationvalue smaller than or equal to a threshold value of the forecast parameter, e.g. for cloudiness of 0-2 okta: val<=2 |
- sample_size is number of observations used 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