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  • 4:TIGGE operational products
  • 5: TIGGE test products

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Ensemble and

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deterministic forecasts

Control and perturbed forecasts are identified in section 1 and 4. The following tables explains how to code them in GRIB2:

Section 1


ensemble forecastdeterministic forecast
Octets
Example perturbed (pf)Example control (cf)forecast * (fc)
21type of processed data4 3 2

(*) high-resolution forecast interpolated to ensemble resolution (new request from 2020 for TIGGE, phase III)


Example control
Ensemble (section 4, template 4.61)


ensemble forecastdeterministic forecast
Octets
Example perturbed (pf)control (cf)forecast * (fc)
8-9product definition template number

1/11* 

1/11*

0/8*
35type of ensemble forecast255 (missing) 31255 (missing) 
36perturbation number7<eps number>0
37number of forecasts in ensemble51<eps size>51<eps size>
  • statistically processed (typeOfStatisticalProcessing is set up)

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Data exchange

The input fields should be split by the output data type, level type and eps number as per below. All steps  should be merged into the same file.

Naming convention

tigge_CCCC_YYYYMMDDHH_VVVV_TT_LL_NNN.grib2   ... for ensemble  forecasts

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  • CCC: centre acronym  (e.g. kwbc for NCEP data)
  • YYYYMMDDHH: date * time stamp (e.g. 2019100100 for 0Z run on 2019-10-01)
  • VVVV: test/prod
  • TT: cf/pf/fc (output type i.e. control forecast/eps member/high resolution forecast)
  • LL: pl/sl/pt/pv (level type i.e. pressure/surface/pv level/pt level data)
  • NNN: eps number (cf=0000, eps1=1001,....)