GRIB2 - GRID TEMPLATE 4.1001
Cross-section of averaged or otherwise statistically-
processed analysis or forecast over a range of time
Created 09/07/2005

Octet | Contents
--- | ---
10 | Parameter category (see Code Table 4.1)
11 | Parameter number (see Code Table 4.2)
12 | Type of generating process (see Code Table 4.3)
13 | Background generating process identifier (defined by originating center)
14 | Analysis or forecast generating process identifier (defined by originating center)
15-16 | Hours of observational data cutoff after reference time (see Note 1)
17 | Minutes of observational data cutoff after reference time
18 | Indicator of unit of time range (see Code Table 4.4)
19-22 | Forecast time in units defined by octet 18
23-26 | Total number of data values missing in the statistical process 27-38 Specification of the outermost (or only) time range over which statistical processing is done
27 | Statistical process used to calculate the processed field from the field at each time increment during the time range (see Code Table 4.10)
28 | Type of time increment between successive fields used in the statistical processing (see Code Table 4.11)
29 | Indicator of unit of time range over which statistical processing (see Code Table 4.4)
30-33 | Length of the time range over which statistical processing is done, in units defined by the previous octet
34 | Indicator of unit of time for the increment between the successive fields used (see Code Table 4.4)
35-38 | Time increment between successive fields, in units defined by the previous octet (see Note2)

Note : (1) Hours greater than 65534 will be coded as 65534. (2) 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.

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