This example represents a 54 hour accumulation of a field produced by a forecast started on 20120101 00Z.
- In bold, the values are fixed. They are meant to be used by all partners
- In green, these are the values for the example.
Time ( accumulated ) | |||||||||
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Start of forecast ( section 1 ) | |||||||||
Octets | reforecastOctets real time | Fixed values to be used by all the partners | Example | 12Values | Meaning of values | Grib_api key | |||
12 | Significance of Reference Time | =1 | Start of forecast | = 1 | 13-14|||||
13-14 | Year (four digits) | 2012 | year of start of forecast | dataDate= | 20121520120101 dataTime=0 | ||||
15 | Month | 01 | month of start of forecast | = 01||||||
16 | 16 | Day | 01 | day of start of forecast | = 01|||||
17 | 17 | Hour | 00 | hour of start of forecast | = 00 | ||||
Accumulation ( section 4 e.g. template 4.11 ) | |||||||||
18 | 18 | Indicator of unit of time range | = 1 | Hour | = 1 | 19-22||||
19-22 | Forecast time | Start of forecast + forecast time = start of average period | = 24 | 0 | Accumulation starts at step=0 | startStep=0 | |||
45-46 | 38-39 | year of end of overall time interval | 2012 |
End of average accumulated period, 20120103 06Z | = 2012 | 47
endStep=54
| |||
40 | month of end of overall time interval | = 01 | 48|||||||
41 | day of end of overall time interval | = 03 | 49|||||||
42 | hour of end of overall time interval | = 00 | 5206 | ||||||
45 | number of time ranges | = 4 6 hourly fields used in average | 53-561 | Only one type of time statistics used (accumulation) | |||||
46-49 | total number of data values missing in statistical process | = 0 | = 0 | 57||||||
50 | Statistical process used to calculate the processed field from the field at each time increment during the time range | = 1 | AccumulatedAccumulation | stepType= 0accum | |||||
58 | 51 | Type of time increment between successive fields used in the statistical processing | = 2 | Successive times processed have same start time of forecast, forecast time is incremented | = 2 | 59||||
52 | Indicator of unit of time for time range over which statistical processing is done | = 1 | Hour | = 1 | |||||
60-63 | 53-56 | Length of the time range over which statistical processing is done, in units defined by the previous octet | = 2454 | Daily average | = 24 | 64
| |||
57 | Indicator of unit of time for the increment between the successive fields used | = 1255 | HourMissing | = 1 | |||||
65-68 | 58-61 | Time increment between successive fields, in units defined by the previous octet | Time frequency used to compute the daily mean | = 6 6 hourly fields used in average |
Time ( reforecast ) section 4, template 4.61 | ||
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Example | ||
38-39 | Year of model version | 2013 |
40 | Month of model version | 01 |
41 | Day of model version | 01 |
42 | Hour of model version | 00 |
43 | minute of model version | 00 |
44 | second of model version | 00 |
The example of reforecast with the example of daily average define together a reforecast of the daily average valid for 2/1/2012 computed with a model version operational on the 1/1/2013.
0 | 0 |
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Examples of grib2 headers:
For real time forecast the template to be used is 4.11 and there isn't any information regarding the date and time of the model version.