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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 change.

MetOffice

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title11-07-2017 MetOffice

UM upgraded to version PS39 from 12UTC cycle on 11 July 2017.

TIGGE global ensemble was upgraded to 20km (from 33km), N640L70, 280x960 lat-long grid, 0.1875 N-S x 0.28125 E-W degrees, 18 members (from 12) every 6hr cycle.

Forecast length remains at 7d 6h.

Relevant associated deterministic/data assimilation changes:

  • Replace RTTOV9 by RTTOV11
  • New ground GPS observation operator
  • Improved snow analysis reconfiguration
  • Upgrade to UM10.6


Info
title08-11-2016 MetOffice

UM upgraded to version PS38 from 6UTC cycle on 8 November 2016.

The changes include predominantly a satellite applications package to include more satellite channels, re-tuned observation error estimates and better quality control of observations. This is expected to improve the headline NWP index scores by about +0.5 to +1.0 against analyses, observations, and independent ECMWF analyses.

Satellite package includes:

  • Improved use of infrared and microwave satellite data over land, providing more temperature information at lower levels.
  • Improved global humidity forecasts, due to more weight being given to satellite humidity information in our analysis.
  • Incorporation of more Chinese polar orbiting satellite data, following our initial introduction in March 2016.
  • The introduction of data from a new Japanese Geostationary satellite, Himawari-8.

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