centre | model_id | yyyymm | time | forecast_step | station_id | latitude | longitude | station_elevation | parameter | level | period | score | event | sample_size | mean_value
where
model_id (variable-length string) is free model identifier assigned by the originating centre (to distinguish between potentially different models provided by the centre);
| parameter | description | unit |
|---|---|---|
| t2m | air temperature at 2 meters above the model orography, corrected to the actual station elevation using the constant lapse rate 6.5K/1000m | K |
| td2m | dewpoint at 2 meters above the model orography | K |
| rh2m | relative humidity at 2 meters above the model orography | % |
| tp06 | total precipitation accumulated over previous 6 hours | mm |
| tp24 | total precipitation accumulated over previous 24 hours | mm |
| ff10m | wind speed at 10 meters above the model orography | m/s |
| dd10m | wind direction at 10 meters above the model orography | deg |
| tcc | total cloud cover | 0-1 |
| score | description | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| me | mean error (bias) | |||||||||
| 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 | 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 |