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| centre=centre, model=model_id, d=yyyymm, t=time, s=forecast_step, st=station_id, lat=latitude, lon=longitude, lam= model_grid_latitude , lom= model_grid_longitude , se=station_elevation, me=model_orography_elevation, par=parameter, sc=score, evth=event_thresholds, n=sample_size, v=mean_value |
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| Code Block |
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centre=ecmf,model=0001_fc,d=201410,t=0,s=24,st=11520,lat=50.02,lon=14.38,se=302,me=248,par=tp24,sc=me,ev=na,n=31,v=0.95 s=48,v=1.15 s=24,sc=ct,evth=val>55,v=1,16,12,2 s=48,v=3,/13,/11,/4 |
Values of keys
- 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 (a string, not containing a comma or vertical bar) 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) of the forecasts verified;
- forecast_step is the length of the forecast (in hours);
- station_id (a number) is the WMO 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;
- model_grid_latitude (non-mandatory) is the latitude of the model grid point used to extract the forecast at the observation location;
- model_grid_longitude (non-mandatory) is the longitude of the model grid point used to extract the forecast at the observation location;
- station_elevation is the elevation of the observation station above the mean sea level in meters;
- model_orography_elevation is the elevation of the model orography at the observation location;
- parameter is the verified model output parameter:
...
- score is the name of the verification score or statistic:
| score | description | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| me | mean error (bias) | |||||||||
| mae | mean absolute error | |||||||||
| rmse | root mean square error | |||||||||
| ct | contingency table values, | the 4 values are C, A, D, B (in this order!)
| observed | not observed | |
|---|---|---|
| forecast | A (hits) | B (false alarms) |
| not forecast | C (misses) | D (correct non-events) |
- event is the name of the event (for contingency tables)
The rank of a contingency table is defined by number of values in the key event_thresholds
NB. Please note how those contingency tables are constructed.
but following the definition of 2x2 contingency table on the left the table should be
|
v=C/A/D/B | |||||||||||||||||||||||||||
v=G/D/A/H/E/B/I/F/C | ||||||||||||||||||||||||||||
v=M/I/E/A/N/J/F/B/O/K/G/C/P/L/H/D |
- event_thresholds is a value or values of threshold(s) defining events for contingency tables; number of values in event_thresholds defines the rank of the contingency table; multiple values are separated by a forward slash /
| event_threshold | description |
|---|---|
| 15 | threshold for a 2x2 contingency table, e.g. if par=ff10m this is an event of 10m wind speed |
| 5/10/15 | thresholds for a 4x4 contingency table for 10m wind speed |
| event | description |
| val>thr | forecast/observed value greater than a threshold value of the forecast parameter, e.g. for wind speed >15 m/s: val>15 |
| val<=thr | forecast/observed value 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 computed based on the forecast initiating at time time UTC, verifying in the month yyyymm, for the forecast length forecast_step hours; in case of nxn contingency table these are the 4 n2 values delimited by commas forward slashes (see the score table above)
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