The ECMWF Integrated Forecasting System (IFS)




See also:

Summary of the key characteristics of the IFS.   Operational configurations of the ECMWF Integrated Forecasting System (IFS)


 More info at:

Documentation Atmospheric model CY48R1

Documentation Ocean model 

ERA ERA-Interim, ERA5, ERA5-Land

Model

Function

System Name

Resolution &

Levels

(follow links to see where the model levels are)

Ensemble

Size

Top

Level

Atmospheric General Forecast Model

High Resolution

HRES

~9km

137 levels

(TCo1279)

1


0.01 hPa

Ensemble

ENS

~9km

137 levels

(TCo1279)

50

+ Control


0.01 hPa

Ensemble Extended

ENS Extended

~36km

137 levels

(TCo319)

100

+ Control

0.01 hPa

Seasonal (run monthly for months 0-7)

S5 or SEAS

~36km

91 levels

(TCo319)

50

+ Control


0.01 hPa

Seasonal (run quarterly for months 0-13)S5 or SEAS

~36km

91 levels

(TCo319)

150.01 hPa

Oceanic wave model (High Resolution)



~28km

1


Oceanic wave model (Ensemble)
~28km50





Atmospheric model

Reanalysis

Re-forecast

ERA5 HRES

~9km

137 levels

(archived at TCo1279)

10.01 hPa

Atmospheric model

Reanalysis

Re-forecast

ERA5 ENS

~9km

137 levels

(archived at TCo1279)

100.01 hPa

Atmospheric model

Reanalysis

Re-forecast

ERA5 Extended ENS

~36km

137 levels

(archived at TCo319)

100.01 hPa

Atmospheric model Ensemble of Data Assimilations (EDA)

Reanalysis


ERA5 EDA~18km

137 levels

(archived at TCo639)

500.01 hPa

Oceanic wave model

Reanalysis

Re-forecast

ERA5 Wave0.36° Latitude1

Oceanic wave model EDA

Reanalysis

ERA5 Wave EDA1.00° Latitude10





Parameterised systems for

2-way interaction with Atmospheric Model

Resolution same as the calling model...

...unless otherwise shown

Land Surface Model (LDAS)

HTESSEL




Sea Surface Model (WAM) (See below)

WAM




Lake Model


FLAKE




Convection Model


CONV




Clouds - Large Scale Water Processes

LSWP




Radiation


RDTT

~55km HRES

~55km ENS

~222km SEAS



Turbulence & Gravity Wave Drag

TGWD




Non-orographic Gravity Wave Drag

NOGW




Sea Ice Model

(see NEMO below)

LIM2




Representation of uncertainty in parameterisation schemes

SPPT




Representation of uncertainty in energy transfer...

...from sub-gridscales to resolved scales

SKEB




Table 12.A.2 Main Oceanographic Models and Programmes

Model

Function

System Name

Resolution 

Ensemble Size

Wave forecast model

High Res Stand alone (Ceased  7.1.20)

HRES-SAW

~11km

1


Ocean wave coupled to High Resolution


HRES-WAM~14km.   0.125° Latitude1
Ocean wave  coupled to EnsembleENS-WAM~28km.  0.25° Latitude

50

+ Control

Ocean wave  coupled to SeasonalSEAS-WAM~55km.  0.25° Latitude

50

+ Control


 

ModelFunctionSystem Name

Resolution


Ensemble Size

Ocean General Circulation Model


Ocean General Circulation Model NEMO

~28km.  0.25° Latitude

75 levels

50

+ control

Sea Ice Model


LIM2

~28km.  0.25° Latitude

 Table 12.A.3 Data Assimilation Programmes

Assimilation ProgrammesSystem NameSystem Name

Resolution

& Levels

Ensemble Size

Top

Level

Atmospheric Data Assimilation

Series of nested loops at increasing resolutions

 

4D-Var

4D-Var

137 levels

1

 0.01 hPa

Ensembles of Data Assimilation

Series of nested loops at increasing resolutions

EDA

137 levels

50

+ Control

 0.01 hPa

Ocean Real Time Analysis


NEMOVAR

ORTA4

~28km

75 levels

1


Ensembles of Data Assimilation for

Ocean Model Ensemble.

ORAS5

~28km

75 levels

5


Indicators for Resolution:

  • TL             Triangular-linear grid (shortest wave resolution is represented by two grid points).
  • TCo           Triangular-cubic-octahedral grid (shortest wave resolution is represented by four grid points).
  • N               Native grid, as produced by the model on reduced Gaussian grids or spherical harmonics.

 The numbers indicate the spectral truncation.