Cycle 40r1

Implementation date: 19 Nov 2013

Model Documentation


Chapter 1: Observation operators
Chapter 2: Observation processing
Chapter 3: Observation screening


Data assimilation

Chapter 1: Overview
Chapter 2: 4D variational assimilation
Chapter 3: Tangent-linear physics
Chapter 4: Background term
Chapter 5: Observation-related processing
Chapter 6: Background, analysis and forecast errors
Chapter 7: Gravity-wave control
Chapter 8: Diagnostics
Chapter 9: Land-surface analysis
Chapter 10: Analysis of sea-ice concentration and sea surface temperature
Chapter 11: Data flow


Dynamics and numerical procedures

Chapter 1: Introduction
Chapter 2: Basic equations and discretization
Chapter 3: Semi-Lagrangian formulation


Physical processes

Chapter 1: Overview
Chapter 2: Radiation
Chapter 3: Turbulent transport and interactions with the surface
Chapter 4: Subgrid-scale orographic drag
Chapter 5: Non-orographic gravity wave drag
Chapter 6: Convection
Chapter 7: Clouds and large-scale precipitation
Chapter 8: Surface parametrization
Chapter 9: Methane oxidation
Chapter 10: Ozone chemistry parametrization
Chapter 11: Climatological data


Ensemble Prediction System

Chapter 1: Methodology
Chapter 2: Computational details: initial perturbations
Chapter 3: Computational details: non-linear integrations


Technical and Computational Procedures

Chapter 1: Structure, data flow and standards
Chapter 2: Parallel implementation
Appendix A: Structure, data flow and standards
Appendix B: Message Passing Library (MPL)
Appendix C: The TRANS package
Appendix D: FullPos user guide
Appendix E: FullPos technical guide
Appendix F: Coding standards
Appendix G: The Perforce source code management system user guide


Wave Model

Chapter 1: Introduction
Chapter 2: The kinematic part of the energy balance equation
Chapter 3: Parametrization of source terms and the energy balance in a growing wind sea
Chapter 4: Data assimilation in WAM
Chapter 5: Numerical scheme
Chapter 6: WAM model software package
Chapter 7: Wind wave interaction at ECMWF
Chapter 8: Extreme wave forecasting
Chapter 9: Second-order spectrum


Meteorological changes

Vertical resolution of ENS

The vertical resolution and the vertical extent used for the medium-range and monthly ensemble forecasts will change: the number of levels of the ENS will increase from 62 to 91 with the model top raised from 5 hPa to 0.01 hPa. The pressure levels remain unchanged.

Atmosphere-ocean coupling now active from initial forecast time for ENS

The atmosphere-ocean coupling of the ENS will be active from initial time of the forecast using a new version of the NEMO ocean model.

These changes do not apply to the Long-range (SEAS) forecast.

Initial condition perturbations for ENS and EDA

Introduction of perturbation of land surface initial conditions in ENS and perturbation of land surface temperature and moisture observations in EDA.

Dynamic estimation of background error covariances for 4DVAR with enhanced 25-members EDA


Changes to physical processes

Modifications to convection to address the diurnal cycle of precipitation (ECMWF Newsletter No. 136, pages 15–22). A package of changes introduced to vertical diffusion in stable conditions, turbulent orographic drag, orographic gravity wave drag and surface-atmosphere coupling over forests, which improves boundary layer winds (e.g. at wind turbine hub height) and improves northern hemisphere winter scores (ECMWF Newsletter No. 138 , pages 24-29). An error in the handling of snow albedo in the radiation scheme is corrected.

Changes to observation data assimilated

SSMIS 183 GHz channels activated in all-sky microwave radiance assimilation, enhanced use of AMSU-A, AMSU-B and MHS data over sea ice, situation-dependent observation errors and revised quality-control for AMVs.

Meteorological impact

Comparison of scores of model cycle 40r1 and cycle 38r2

Upper air

The new cycle significantly improves the performance of HRES in the northern hemisphere, especially during autumn/winter time, and it has a neutral to slightly negative impact in the southern hemisphere. The temperature and humidity forecasts are also significantly improved in the lower troposphere in the tropics, while the 850 hPa winds are slightly degraded in certain tropical regions. This issue will be addressed in a forthcoming cycle. ENS and model changes associated with Cycle 40r1 produce overall improvements in probabilistic scores, except for a slight deterioration of tropical and southern hemisphere winds. The inclusion of the EDA-based land-surface temperature and moisture perturbations in ENS improves reliability, especially in the short range.

Weather parameters

The diurnal cycle of convection over land has been dramatically improved (see ECMWF Newsletter 136 - pages 15-22) so that the peak precipitation occurs later in the afternoon/early evening than in previous cycles. Verification of wind speed at a few tall tower locations in Europe has shown that the night time winds have improved in the height range from 50 to 200m, which is relevant for wind energy applications. There is a slight deterioration of ENS temperature in the extratropics. The overall impact on total cloud cover is neutral in the tropics and slightly positive in the extratropics. Precipitation is neutral in the HRES and significantly improved in the ENS for the tropics. Ocean coupling from day 0 in the ENS leads to better SST prediction in cases of slow tropical cyclone propagation.

Monthly forecast

Cycle 40r1 has a statistically significant positive impact on the monthly forecast skill scores in the stratosphere due to the increased vertical resolution and on the prediction of the Madden Julian Oscillation thanks to the ocean-coupling from day 0. The impact on the other monthly skill scores is generally neutral.

Synoptic aspects

The diurnal cycle of convection is much improved and this is apparent in the associated forecast fields including convective indices (CAPE, CIN), precipitation and simulated satellite imagery. The 24-hourly precipitation totals are not significantly affected by the change in timing of the convection. The snow analysis has been improved, while perturbations to snow cover in the ENS have a noticeable effect on 2m temperature spread. Users will also notice the effect of the ocean coupling from day 0 in the ENS on the evolution of the SST.

Technical aspects

ENS model level definition for L91

See ENS model level definitions for L91 and the correspondence between the L62 and L91 Most of the additional levels are added in the stratosphere. Levels below ~153 hPa are the same in the two representations (i.e., the 47 levels from 16 to 62 in the L62 representation map identically to levels 45 to 91 in the L91 representation).

See the  list of all other model level definitions

Changes to the GRIB data

ENS model level fields only

The increase in the number of vertical levels from 62 to 91 in the ensemble forecast model is reflected in changes to the GRIB headers, specifically the GRIB 2 Section 4 "Product definition section":

SectionOctetsgrib_api keyOld valueNew value

Changes to GRIB headers affecting all fields

The GRIB model identifiers (generating process identification number) have changed as follow:

ModelOld IDNew ID
Ocean wave109110
Limited-area ocean wave209210

The GRIB model identifiers are found in:

GRIB 1: Product Definition Section 1, Octet 6
GRIB 2: Product Definition Section 4, Octet 14

or with the grib_api key generatingProcessIdentifier.

Model output

Discontinuation of the following

  • DCDA Atmospheric model (delayed cut-off)
  • DCWV Wave model (delayed cut-off)
  • ENDA Ensemble data assimilation - atmospheric model
  • EWDA Ensemble data assimilation - wave model(from 20/08/2013)
  • Ensemble forecast tube products

Release aspects

e-suite experiment number: 0063 (from 20/08/2013)