Page History

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

The ECMWF forecast system IFS was upgraded to the version 48r1.

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 now.

More details can be found in Implementation of IFS Cycle 48r1

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 change.