Versions Compared

Old Version 36

changes.mady.by.user Richard Mladek

Saved on

compared with

New Version Current

changes.mady.by.user Richard Mladek

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Info
iconfalse
title17-08-2011 ECCC

The ECCC global ensemble prediction system was upgraded to version 2.0.2 on 17 August 2011.

The main changes included in this upgrade are:

  • The number of members in the ensemble Kalman filter is doubled from 96 to 192.
  • The resolution of the medium-range forecasts is changed from 100 to 66 km.
  • The model top is raised from 10 hPa to 2 hPa.
  • A new dynamical model, with a Charney-Phillips vertical grid, is used.

Further documentation of the operational upgrade can be found at http://collaboration.cmc.ec.gc.ca/cmc/CMOI/product_guide/docs/changes_e.html

ECMWF

Always refer to the latest IFS documentation in https://www.ecmwf.int/en/publications/ifs-documentation


Info
iconfalse
title1327-1006-2021 2023 ECMWF

The ECMWF forecast system IFS was upgraded to the version 47r348r1.

With IFS Cycle 48r1, the horizontal resolution of the  medium-range ensemble  (ENS) will increase from 18 to 9 km. This will bring the ENS to the same horizontal resolution as the high resolution forecast (HRES). The vertical resolution for both ENS and HRES will remain at 137 model levels and the ENS will continue to have 51 members.

For TIGGE, the IFS data is interpolated to the same resolution O640 as up to nowCycle upgrade 47r3 will bring improvements to the assimilation and observations usage and a significantly improved physical basis for moist processes, necessary to facilitate further development of the Integrated Forecasting System (IFS) and future application at convection-permitting resolutions.

More details can be found in : Implementation of IFS Cycle

47r3https://www.ecmwf.int/en/publications/ifs-documentation

48r1


Info
iconfalse
title3013-0610-2020 2021 ECMWF

The ECMWF forecast system IFS was upgraded to the version 47r1.

This cycle includes changes in the treatment of observations and improvements in the data assimilation and to the model. Quintic vertical interpolation in the semi-Lagrangian advection scheme has been introduced as well as the inclusion of a better surface albedo climatology making use of more data from the MODIS instrument.

New Metrics of Tropical Cyclone (TC) “size” will supplement the existing forecasts of TC track and intensity.

47r3.

Cycle upgrade 47r3 will bring improvements to the assimilation and observations usage and a significantly improved physical basis for moist processes, necessary to facilitate further development of the Integrated Forecasting System (IFS) and future application at convection-permitting resolutions.

More details can be found in Implementation of IFS Cycle 47r3Full details can be found in Implementation of IFS Cycle 47r1 page.


Info
iconfalse
title0630-06-2018 2020 ECMWF

The ECMWF forecast system IFS was upgraded to the version 45r147r1.

The main This cycle includes changes included in this upgrade:in the treatment of observations and improvements in the data assimilation and to the model. Quintic vertical interpolation in the semi-Lagrangian advection scheme has been introduced as well as the inclusion of a better surface albedo climatology making use of more data from the MODIS instrument.

New Metrics of Tropical Cyclone (TC) “size” will supplement the existing forecasts of TC track and intensity.

Full details can be found in Implementation of IFS Cycle 47r1 page.


Info
iconfalse
title06-06-2018 ECMWF

The ECMWF forecast system IFS was upgraded to the version 45r1.

The main changes included in this upgrade:

Assimilation

  • Weakly coupled sea-ice atmosphere assimilation applied with the use of OCEAN5 sea-ice (instead of OSTIA) in the surface analysis of the high-resolution (HRES 4d-Var) and the ensemble of data assimilations (EDA) analyses;
  • Relative humidity increments calculated using temperature instead of virtual temperature;
  • Weak constraint model error forcing applied at every time step instead of every hour to avoid shocks in the model integration.

Observations

  • Assimilation of non-surface-sensitive infra-red (IR) channels over land;
  • Assimilation of all sky micro-wave (MW) sounding channels over coasts;
  • Use of direct broadcast FY-3C MWHS2 data for better timeliness;
  • Introduction of RTTOV-12 and new microwave instrument coefficients;
  • Activation of constrained variational bias correction (VarBC);

  • Retuning of the radiosonde observation error, and introduction of a scheme to account for radiosonde drift;

  • Introduction of temperature bias correction of old-style AIREP observations; aircraft temperature varBC predictor upgraded to a three predictor model (cruise, ascent, descent); reduced thinning of aircraft data;

  • Assimilation of JASON-3 and Sentinel-3A altimeters, and use of new altimeters for wave data assimilation;

Model

  • Coupling of the 3-dimensional ocean and atmosphere: introduction of the coupling to the NEMO 3-dimensional ocean model also

Assimilation

  • Weakly coupled sea-ice atmosphere assimilation applied with the use of OCEAN5 sea-ice (instead of OSTIA) in the surface analysis of the high-resolution (HRES 4d-Var) and the ensemble of data assimilations (EDA) analyses;
  • Relative humidity increments calculated using temperature instead of virtual temperature;
  • Weak constraint model error forcing applied at every time step instead of every hour to avoid shocks in the model integration.

Observations

  • Assimilation of non-surface-sensitive infra-red (IR) channels over land;
  • Assimilation of all sky micro-wave (MW) sounding channels over coasts;
  • Use of direct broadcast FY-3C MWHS2 data for better timeliness;
  • Introduction of RTTOV-12 and new microwave instrument coefficients;
  • Activation of constrained variational bias correction (VarBC);

  • Retuning of the radiosonde observation error, and introduction of a scheme to account for radiosonde drift;

  • Introduction of temperature bias correction of old-style AIREP observations; aircraft temperature varBC predictor upgraded to a three predictor model (cruise, ascent, descent); reduced thinning of aircraft data;

  • Assimilation of JASON-3 and Sentinel-3A altimeters, and use of new altimeters for wave data assimilation;

Model

  • Coupling of the 3-dimensional ocean and atmosphere: introduction of the coupling to the NEMO 3-dimensional ocean model also in the high-resolution forecast (HRES), with the same ocean model version used in the medium-range/monthly ensemble (ENS): NEMO3.4 in ORCA025_Z75 configuration; upgrade of the NEMO-IFS coupling strategy in both ENS and HRES to a full-coupling in the tropical region (partial-coupling-extra-tropics);
  • Improved numerics for warm-rain cloud microphysics and vertical extrapolation for semi-lagrangian trajectory;
  • Increased methane oxidation rate to improve (increase) water vapour in the stratosphere;
  • Improved representation of super-cooled liquid water in convection, and minor convection updates;
  • Improvements in the tangent forward and adjoint models linked to the convection scheme;
  • Correction of soil thermal conductivity formulation and addition of soil ice dependency;
  • New extended output parameters have been added. See below.
  • Modified parameter for non-orographic gravity-wave drag scheme for 91 levels;
  • Model error changes:
    • Stochastically perturbed parametrization tendency scheme (SPPT): improved flow-dependent error representation via reduced spread in clear skies regions (due to unperturbed radiative-tendency in clear sky), activation of tendency perturbations in stratosphere, and weaker tapering of perturbations in boundary layer; amplitude reduction of the SPPT perturbations patterns (by 20%);
    • EDA: cycling of stochastic physics random fields in the EDA, and adoption of the same SPPT configuration in EDA as in ENS;
    • Stochastic kinetic energy backscatter scheme (SKEB): deactivation of the stochastic backscatter (SKEB) scheme due to improved model error representation by the SPPT scheme (see above), leading to a 2.5% cost saving in the ENS;

Click  here for full details.

...

Info
title21-11-2007 JMA

The resolution of one-week ensemble prediction model of JMA was upgraded on 21 November 2007.

Major changes are:

  • Increase in the resolution from TL159L40 to TL319L60 with a topmost level raised from 0.4hPa to 0.1hPa.
  • Use of a new high-resolution analysis of sea surface temperature and sea ice concentration as ocean surface boundary conditions.
  • Use of surface snow depth data from the domestic dense observational network in the global snow depth analysis.
  • Introduction of a convective triggering scheme into the deep convection parameterization.
  • Introduction of a new 2-dimensional aerosol climatology derived from satellite observations for the radiation calculation.
  • Increase in the resolution of inner loop model of the four-dimensional variational (4D-Var) data assimilation system from T106L40 to T159L60.
  • Introduction of a sigular vector method to make the initial perturbations.

Notes:

  • The resolution and parameters of TIGGE data from JMA remains unchanged.
  • Orography and Land Sea Mask in TIGGE data are slightly different from the previous data associated with the model changedata are slightly different from the previous data associated with the model change.

KMA

Info
title17-10-2023 KMA

The orography was added to KMA control forecast outputs (for step 0 only).

https://jira.ecmwf.int/servicedesk/customer/portal/4/SD-84207


Info
title01-07-2022 KMA

The KMA has changed their model used for TIGGE contribution from UM (Unified Model) ensemble to  KIM (Korean Integrated Model) ensemble, v. 3.7, since the 1st of  July 2022.

KMA has been operating 2 ensemble models based on UM and KIM. The latter one, KIM, was developed during 9 year project from 2011 to 2019 and became an operational model in 2020.


UKMO

Info
iconfalse
title04-05-2022 MetOffice

The Met Office Global model was upgraded to OS45 with effect from the 12UTC cycle on 5 May 2022.

  • The Global Atmosphere-Land Model is now fully coupled to a ¼ degree interactive Ocean Model in both 10km deterministic and 20km MOGREPS-G ensemble configurations, with both the atmospheric and ocean models exchanging information hourly.
  • The atmosphere-land model has been upgraded from GA7.2.1GL8 to GA8GL9.
  • New observations have been introduced from radiosonde descents, Sentinel, Aeolus and Mode-S in Europe.

...

Info
title11-06-2020 NCMRWF

NEPS-G upgrade to version 3:

The global model has been upgraded to UM11.2 (of Met Office, UK) and the model physics has been upgraded from GA6.2 to GA7.2 configuration in order to improve the representation of  the physical processes. The upgraded physics configuration includes improved treatment of gaseous absorption in the radiation scheme, JULES multi-layer snow scheme and improved treatment of warm rain and ice clouds.

Full details are available in the xls document linked in the page Models.  

Meteo-France

Info
title30-06-2022 Meteo-France

Changes to Meteo-France contribution to TIGGE since  :

  • the last step in 18Z runs is changed from +108H to +102H

Further details can be found in the page Models.  


Info
title11-01-2021 Meteo-France

Changes to Meteo-France contribution to TIGGE since  :

  • 4 runs from 0/6/12/18Z instead of 2 from 6/18Z
    • there are different final steps for different runs:
      • 0/12Z: +48H
      • 6Z: +90H
      • 18Z: +108H
  • resolution increase to 0.5 degree
  • simple packing instead of JPEG one in GRIB 2 files
  • tmin/tmax fix

Further details can be found in the page Models.  

...