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Timeline of the implementation
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Meteorological content
Assimilation
- New RTTOV coefficients for hyperspectral infrared (IR) sounders
- New height reassignment for low level AMVs
- Add representativeness error in the total observation error for Aeolus
- Weak-constraint 4D-Var active in the stratosphere for the EDA system
Observations
- Assimilation of all-sky AMSU-A
Model
- A more consistent formulation of boundary layer turbulence, shallow convection and sub-grid cloud including:
- Simplified and more consistent treatment of sub-grid cloud saturation adjustment
- Consistent treatment of subgrid cloud from boundary layer turbulent mixing without separate statistical cloud scheme
- Consistent computation of mixing height for unstable turbulent boundary layer and convection scheme
- Change from double to single iteration of turbulent mixing scheme
- New method for computing inversion strength based on moist entropy for distinguishing stratocumulus and cumulus cloud
- Limit to convective overshoot based on tropopause stability
- New parametrized deep convection closure with an additional dependence on total advective moisture convergence
- Change from exponential-exponential cloud vertical overlap to random-exponential overlap in closer agreement with observations
- Include vapour deposition process for growth of falling snow particles
- Change from linear to cubic interpolation for cloud liquid, ice, rain and snow semi-Lagrangian departure point calculations, including 3D quasi-monotone limiter
- Interpolation of cloud and precipitation to radiation grid changed from in-cloud to grid-mean
- Inclusion of full supersaturation adjustment in the ensemble SPPT stochastic perturbations
- Mass-weighting and relaxation timescale introduced for ensemble SPPT stochastic perturbations
- Revised simplified moist physics and associated tangent-linear and adjoint
- Bug fix for vertical interpolation of 3D aerosol climatology
- Improved calculation of extinction coefficients for near-surface visibility in fog, rain and snow
- Revised gustiness parametrization
- Improved calculation of the peak wave period for multi-peaked ocean wave spectra
Meteorological impact
- Extratropical upper-air geopotential and wind in the first few days of the forecast improved by 1-2%
- Tropical upper-air winds throughout the medium-range improved by 1-4%
- Tropical upper-air temperature improved in HRES, but degraded CRPS in ENS due to small (~0.2K) increase in bias. Low level temperatures (including 850hPa and 2m) temperature approximately neutral versus observations but degraded versus analysis over subtropical ocean.
- Tropical Cyclones: Small improvement in position and central pressure absolute error
- Improved MJO prediction and amplitude
- More realistic precipitation PDF in strongly convective regimes
- Increased convective precipitation (reduced dry bias) in arid regions
- Increase in small scale structure for cloud and precipitation but total cloud cover degraded
- Reduced biases for wind gusts and for visibility in fog, rain and snow
Evaluation
Scorecards presenting the new cycle performance are regularly updated:New and changed parameters
New parameters
The table contains the list of parameters expected to be available with the model implementation. They will be available as part of the test data.
ENS CF/PF
ENS CF/PF
ENS CF/PF
ENS CF/PF
ENS CF/PF
NEWS!
- Release Candidate test data and products are available now
- Recording and slides of the latest webinar Cycle 47r3 overview added
ENS and HRES scorecards have been added
Updated recommended software versions and information on test data from release candidate added
Specific information on new CAPE and CIN parameters published
A webinar giving an updated overview of Cycle 47r3 with a focus on the scientific developments, the meteorological impact and new products has been scheduled for
13 September 2021, 15:00 UTC
To join please register on the event page.Changes to the grid descriptions of analysis parameters ci and sst
- Implementation moved to 12 October
- Beta test data available now
Recording and slides of the webinar Cycle 47r3 overview and more information on the meteorological impact are now available.
IFS Cycle 47r3 content and implementation timeline announced. The new cycle will be introduced in a first webinar on
6 July 2021 at 8:00 UTC: Join the webinar on Zoom
A recording of the webinar will be made available after the event
TBC2282352mucape2TBC260290
1Please note that the current MARS client, built with MIR 1.7.2, will issue a warning when interpolating parameter 228045 (Tropopause pressure). As MIR uses the default interpolation for this parameter in any case, this warning can be ignored and will be addressed in a future version of the MARS client.
2For more details see 47r3 new parameters: CAPE and CIN
Changes to existing GRIB parameters
In Cycle 47r3 the grid descriptions for the surface fields ci and sst in the analysis are now identical to those of the land-sea mask (lsm).
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Technical content
Changes to GRIB encoding
The GRIB model identifiers (generating process identification number) for cycle 47r3 will be changed as follows:
Section 1
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Section 4
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For all parameters in GRIB 2 the Master Tables Version Number will be changed as follows:
Section 1
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Correct decoding of all 47r3 GRIB 2 parameters requires ecCodes 2.23.0 or newer.
Software
The software packages listed below are required to provide full support for IFS Cycle 47r3 and will become the default on ECMWF platforms on Wednesday 6 October 2021, see Change of default versions of ECMWF software packages - October 2021:
ecCodes 2.23.0
Magics 4.9.0
Metview 5.13
CDO 1.9.10-01
Users are strongly encouraged to test their software applications and data processing chain with the new versions of the various software packages before this change.
Availability of 47r3 test data
Test data in MARS
IFS Cycle 47r3 beta test data is available from MARS with experiment version 0076 (MARS keyword EXPVER=0076):
- HRES (class=od, stream=oper, expver=76)
- HRES-WAM (class=od, stream=wave, expver=76)
- ENS (class=od, stream=enfo, expver=76)
- ENS-WAM (class=od, stream=waef, expver=76)
David Duncan et al., Assimilation of AMSU-A in all-sky conditions. EUMETSAT/ECMWF Fellowship Programme Research Report, in preparation, 2021