| 10 |
1 |
Parameter Category (see code table 4.1) |
| 11 |
1 |
Parameter Number (see code table 4.2) |
| 12 |
1 |
Type of Generating Process (see code table 4.3) |
| 13 |
1 |
Background Process |
| 14 |
1 |
Generating Process Identifier |
| 15-16 |
2 |
Hours After Data Cut-off |
| 17 |
1 |
Minutes After Data Cut-off |
| 18 |
1 |
Indicator of Unit of Time Range (see code table 4.4) |
| 19-22 |
4 |
Forecast Time |
| 23 |
1 |
Type of First Fixed Surface (see code table 4.5) |
| 24 |
1 |
Scale Factor of First Fixed Surface |
| 25-28 |
4 |
Scaled Value of First Fixed Surface |
| 29 |
1 |
Type of Second Fixed Surface (see code table 4.5) |
| 30 |
1 |
Scale Factor of Second Fixed Surface |
| 31-34 |
4 |
Scaled Value of Second Fixed Surface |
| 35 |
1 |
Type of ensemble forecast (see Code table 4.6) |
| 36-39 |
4 |
Perturbation number |
| 40-43 |
4 |
Number of forecasts in ensemble |
| 44-45 |
2 |
Year of end of overall time interval |
| 46 |
1 |
Month of end of overall time interval |
| 47 |
1 |
Day of end of overall time interval |
| 48 |
1 |
Hour of end of overall time interval |
| 49 |
1 |
Minute of end of overall time interval |
| 50 |
1 |
Second of end of overall time interval |
| 51 |
1 |
N - number of time range specifications describing the time intervals used to calculate the statistically processed field |
| 52-55 |
4 |
Total number of data values missing in statistical process |
|
56 - 67 Specification of the outermost (or only) time range over which statistical processing is done |
|
| 56 |
1 |
Statistical process used to calculate the processed field from the field at each time increment during the time range (see code table 4.10) |
| 57 |
1 |
Type of time increment between successive fields used in the statistical processing (see code table 4.11) |
| 58 |
1 |
Indicator of unit of time for time range over which statistical processing is done (see code table 4.4) |
| 59-62 |
4 |
Length of the time range over which statistical processing is done, in units defined by the previous octet |
| 63 |
1 |
Indicator of unit of time for the increment between the successive fields used (see code table 4.4) |
| 64-67 |
4 |
Time increment between successive fields, in units defined by the previous octet |
|
68 - (56+12*N) These octets are included only if N > 1 |
|
| 68-79 |
12 |
As octets 56-67, next innermost step of processing |
| 80-(56+12*N) |
n/a |
Additional time range specifications, included in accordance with the value of N. Contents as octets 56-67, repeated as necessary |
| 57+12*N |
1 |
Spatial Vicinity Type (see code table 4.103) |
| 58+12*N |
1 |
Number of Spatial Vicinity Values – NSV |
|
The next entry repeats nsv=1:NSV times |
|
| (59+12*N+(nsv-1)4) – (62+12N+(nsv-1)*4) |
4 |
Spatial Vicinity Value |
| 63+12*N+(nsv-1)*4 |
1 |
Spatial Vicinity Processing (see code table 4.104) |
| (64+12*N+(nsv-1)4)-(65+12N+(nsv-1)*4) |
2 |
Spatial Vicinity Processing Argument 1 (e.g., if previous is quantile) |
| (66+12*N+(nsv-1)4)-(67+12N+(nsv-1)*4) |
2 |
Spatial Vicinity Processing Argument 2 (e.g., if previous is quantile) |
| 68+12*N+(nsv-1)*4 |
1 |
Spatial Vicinity Missing Data (see code table 4.105) |
| (69+12*N+(nsv-1)*4) |
1 |
Temporal Vicinity Processing (see code table 4.104) |
| (70+12*N+(nsv-1)*4) |
1 |
Temporal Vicinity Unit (see code table 4.4) |
| (71+12*N+(nsv-1)4)-(74+12N+(nsv-1)*4) |
4 |
Temporal Vicinity Towards Past |
| (75+12*N+(nsv-1)4)-(78+12N+(nsv-1)*4) |
4 |
Temporal Vicinity Towards Future |
Introduction
The product definition templates 121 and 122 are used to encode probability forecasts with focal statistics processing. There are also applications where not the probability of a threshold exceedance is of interest but the focal statistics of the parameter itself. One such an application is the encoding of percentiles of the values in a certain neighbourhood or smoothing of fields using an upscaling.
Amendment details
ADD to code table 4.0 Product definition template number
ADD TEMPLATE 4.222: Individual ensemble forecast, control and perturbed with spatiotemporal processing based on focal (moving window) statistics at a horizontal level or in a horizontal layer at a point in time.
ADD TEMPLATE 4.223: Individual ensemble forecast, control and perturbed with spatiotemporal processing based on focal (moving window) statistics at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval.
Requestor(s)
Sebastien Villaume (ECMWF)
Robert Osinski (ECMWF)
Stakeholder(s)
ECMWF
Expected impact of change
MEDIUM
Consultations
No response
Data exchange plans
No response
Comments
No response