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Operational configurations of the ECMWF Integrated Forecasting System (IFS)

These tables summarise the key characteristics of the ECMWF IFS model, offering links to documentation on data descriptions, graphical products, cycle information, resolution, etc..

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Atmospheric general circulation component

Table 1a: Key characteristics  of the atmospheric component of the ECMWF IFS (Based on the latest IFS cycle, 47r3)

 

Forecast / Analysis

Number of members

Horizontal resolution

Vertical levels

Pressure at model top (hPa)

Perturbation models

HRES

Atmospheric Model high resolution

Forecast

  • 0–10 days

1

  •  Native (1): O1280 ~9km
  •  Interpolated (2): 0.1°  ~9km

137

0.01 hPa

No

ENS

Ensemble - Atmospheric Model

Forecast

  • 0–15 days
51

Day 0-15

  • Native (1): O640 ~18km
  • Interpolated (2):0.2°
137 0.01 hPa

Yes (4)

ENS Extended

Atmospheric Model Extended forecast (monthly)

Forecast

  • 16–46 days
  • run twice a week
51
  • Native (1): O320 ~36km
  • Interpolated (2): 0.4°

 

137

0.01 hPa Yes (4)

4DVAR

4-Dimensional data assimilation

Analysis

1

  •  N255/N319/N399/N399 inner loop minimisations
  • 4 outer loops at O1280 resolution

 

137

 

0.01 hPa

No

EDA

Ensemble of data assimilations

Analysis

51

  •  N191/N191 inner loop minimisations
  • 2 outer loops at O640 resolution 

137

0.01 hPa

Yes (5)

SEAS5 2017 version  Cycle 43r1

Seasonal forecast

Forecast

  • long-range forecast run monthly from 0 to 7 months
  • annual range forecast run quarterly from  0 to 13 months

51

 


15

  • Native (1):O320 ~36km
  • Interpolated (2): 0.4°

91

0.01 hPa

Yes (4)

Ensemble and Seasonal re-forecasts

Table 1b: Key characteristics of the ENS and SEAS re-forecasts of the ECMWF IFS

 

Forecast/Analysis

Number of members

Horizontal resolution

Vertical levels

Pressure at model top (hPa)

Perturbation models

Number of years

ENS

  • 0–46 days
  • run twice a week
11

Day 0-15

  • Native (1): O640
  • Interpolated (2): 0.25° ~28km

Day 16-46

  • Native (1): O320
  • Interpolated (2): 0.5° ~55km
137 0.01 hPa Yes (4) Most recent 20

SEAS5  Cycle 43r1

Seasonal forecast

Forecast

  • run monthly
  • 0–7 months (monthly)

 

  • run quarterly 0-13 months (annual range)

 

25

 


15

  • Native (1):O320 ~36km
  • Interpolated (2): 0.4°

91

 

0.01 hPa Yes (4) 36 (1981-2016)

Ocean general and sea ice

Table 1c: Key characteristics of the ocean component general circulation models of the ECMWF IFS

 

Forecast/Analysis

Number of members

Horizontal resolution

ORCA grid

Vertical levels

NEMO (LIM-2)

Forecast

  • daily (HRES and ENS)
  • run monthly
  • 0–7 months (monthly)
  • run quarterly 0-13 months (annual range)

51

0.25°

75

Oceans

  • OCEANS-BRT (Behind Real-Time)
  • OCEANS-RT (Real-Time)

Analysis

Reanalysis

5

0.25°

75


Ocean-wave component

Table 1d: Key characteristics of the ocean-wave component of the ECMWF IFS

 

Forecast/Analysis

Domain

Number of members

Horizontal resolution

HRES-WAM

Ocean Wave coupled to the atmospheric model

Analysis and forecast

  • 0–10 days

 

Global

1

  • Native: 0.125° reduced (3) ~14km
  • Interpolated (2)0.125°~ 14km

ENS-WAM

Ensemble wave forecast

Forecast

  • 0-46 days

Global

51

0-15 days

  • Native: 0.25° reduced (3)  ~28km
  • Interpolated (2): 0.25° ~28km

16-46 days

  • Native: 0.5° reduced (3)  ~55km
  • Interpolated (2): 0.5° ~55km

SEAS-WAM

Seasonal wave forecast

Forecast

  • run monthly
  • 0–7 months (monthly)
  • run quarterly 0-13 months (annual range)

Global

51

  • Native: 0.5° reduced (3)  ~55km
  • Interpolated (2): 0.5° ~55km

Atmospheric and Ocean-wave reanalysis ERA5

ERA5, based on IFS Cycle 41r2, is used to initialise ensemble reforecasts. 

 

Forecast/Analysis

Number of members

Horizontal resolution

Vertical levels

Pressure at model top (hPa)

Perturbation models

ERA5 HRES

Atmospheric high resolution reanalysis

  • Analysis
  • Forecast

 

1
  • ~ 31km, 0.28125 degrees (at the equator)
  • Depending on the parameter, the data are archived either as spectral coefficients with a triangular truncation of T639 or on a reduced Gaussian grid with a resolution of N320.
137 0.01 No

ERA5 EDA

Atmospheric reduced resolution ensemble

  • Analysis
  • Forecast
10
  • ~ 63km, 0.5625 degrees (at the equator)
  • Depending on the parameter, the data are archived either as spectral coefficients with a triangular truncation of T319 or as N160 reduced Gaussian grid.
137 0.01 Yes (5)

ERA5 wave

Ocean wave model (WAM) reanalysis

  • Analysis
  • Forecast
1

0.36 degrees

1 - No

ERA5 wave EDA

Ocean wave reduced resolution ensemble

  • Analysis
  • Forecast
10 1.0 degrees 1 - Yes (5)

 4D-Var data available for all the 4 entries.
 

(1) Native: as produced by the model on reduced Gaussian grids or spherical harmonics.

(2) Interpolated to lat/lon

(3) Native: as produced by the model on reduced lat/lon grids.

(4) in analysis and model physics

(5) in observations and model physics