Octet No. | Contents |
---|---|
10 |
Parameter category (see Code Table 4.1) |
11 |
Parameter number (see Code Table 4.2) |
12-13 |
Atmospheric Chemical Constituent Type (see
Code table 4.230) |
14-15 | Number of mode (N) of distribution (See Note 2) |
16-17 | Mode number (l) |
18-19 | Type of distribution function (see Code Table 4.240) |
20 | Number of following function paramters (N_{p}), defined by type given in octet 18-19 (Type of distribution function) |
21 ― Repeat the following 5 octets for the number of function parameters (n=1, N_{p}), if N_{p}>0 | |
21+5(n-1) | List of scale factor of fixed distribution function parameter (p^{1} - p^{N}^{p}), defined by type of distribution in octet 18-19 |
(22+5(n-1)) - (25+5(n-1)) | List of scale value of fixed distribution function parameter (p^{1} - p^{N}^{p}), defined by type of distribution in octet 18-19 |
21+5N_{p} | Type of generting process (see Code Table 4.3) |
22+5N_{p} | Background generting process identifier (defined by originating centre) |
23+5N_{p} | Analysis or forecast generating process identifier (defined by originating centre) |
(24+5N_{p}) - (25+5N_{p}) | Hours of observational data cut-off after reference time (See Note 1) |
26+5N_{p} | Minutes of observational data cut-off after reference time |
27+5N_{p} | Indicator of unit of time range (see Code Table 4.4) |
(28+5N_{p}) - (31+5N_{p}) | Forecast time in units defined by previous octet |
32+5N_{p} | Type of first fixed surface (see Code Table 4.5) |
33+5N_{p} | Scale factor of first fixed surface |
(34+5N_{p}) - (37+5N_{p}) | Scale value of first fixed surface |
38+5N_{p} | Type of second surface (see Code Table 4.5) |
39+5N_{p} | Scale factor of second fixed surface |
(40+5N_{p}) - (43+5N_{p}) | Scale value of second fixed surface |
(44+5N_{p}) - (45+5N_{p}) | Year of time of end of overall time interval |
46+5N_{p} | Month of time of end of overall time interval |
47+5N_{p} | Day of time of end of overall time interval |
48+5N_{p} | Hour of time of end of overall time interval |
49+5N_{p} | Minute of time of end of overall time interval |
50+5N_{p} | Second of time of end of overall time interval |
51+5N_{p} | n – number of time range specifications describing the time intervals used to calculate the statistically processed field |
(52+5N_{p}) - (55+5N_{p}) | Total number of data values missing in statistical process |
(56+5N_{p}) - (67+5N_{p}) Specification of the outermost (or only) time range over which statistical processing is done | |
56+5N_{p} | 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+5N_{p} | Type of time increment between successive fields used in the statistical processing (see Code Table 4.11) |
58+5N_{p} | Indicator of unit of time for time range over which statistical processing is done (see Code Table 4.4) |
(59+5N_{p}) - (62+5N_{p}) | Length of the time range over which statistical processing is done, in units defined by the previous octet |
63+5N_{p} | Indicator of unit of time for the increment between the successive fields used (see Code Table 4.4) |
(64+5N_{p}) - (67+5N_{p}) | Length of the time range over which statistical processing is done, in units defined by the previous octet |
(68+5N_{p}) - nn These octets are included only if n > 1, where nn = (55+5Np) + 12 x n | |
(68+5N_{p}) - (79+5N_{p}) | As octets (56+5N_{p}) to (67+5N_{p}), next innermost step of processing |
(80+5N_{p}) - nn | Additional time range specifications, included in accordance with the value of n. Contents as octets (56+5N_{p}) to (67+5N_{p}), repeated as necessary |
Notes: 1. If Number of mode (N) > 1, then between X N fields with mode number I=1,...,N define the distribution function. X is number of variable parameters in the distribution function. 2. For more information, see Part B, GRIB Attachment III. 3. Hours greater than 65534 will be coded as 65534. 4. The reference time in section 1 and the forecast time together define the beginning of the overall time interval. 5. An increment of zero means that the statistical processing is the result of a continuous (or near continuous) process, not the processing of a number of discrete samples. Examples of such continuous processes are the temperatures measured by analogue maximum and minimum thermometers or thermographs, and the rainfall measured by a rain gauge. 6. The reference and forecast times are successively set to their initial values plus or minus the increment, as defined by the type of time increment. For all but the innermost (last) time range, the next inner range is then processed using these reference and forecast times as the initial reference and forecast times. |