The page will be updated as required. It was last changed on xx December 2015.
For a record of changes made to this page please refer to Document versions.
Further information and advice regarding the upgrade can be obtained from User Support.
Timetable for implementation
The planned timetable for the implementation of IFS cycle 41r2 is as follows:
| Date | Event |
|---|---|
| 4 Nov 2015 | Initial announcement to Member States and other forecast users |
| 8 Dec 2015 | Availability of test data in dissemination |
| mid Mar 2016 | Expected date of implementation |
The timetable represents current expectations and may change in light of actual progress made.
Horizontal resolution upgrade
The 2016 horizontal resolution upgrade has been developed with a trade-off between resolution and computational costs in mind. A number of options of how to produce the most effective combination of horizontal resolutions between 4D-Var, EDA, HRES and ENS have been tested to establish computing costs and to derive possible efficiency gains.
The most viable option found was to change from the current linear (TL) to cubic (TC) spectral truncation. With the cubic spectral truncation the shortest resolved wave is represented by four rather than two grid points. While keeping the spectral truncation unchanged, the resolution is increased in grid-point space to more accurately represent the physical processes and advection. In the current operational configuration of the IFS (cycle 41r1) a build-up of energy at the shortest scales is mitigated by a lower-than-nominal resolution of the orography, strong horizontal diffusion and a de-aliasing filter. In IFS cycle 41r2 this is much less of an issue. The TC configuration also substantially improves mass conservation.
In order to reduce the computational cost further, the use of a new octahedral grid (prefix 'O') with spectral truncation denoted by TCO has been adopted. The octahedral grid applies a new rule for computing the number of points per latitude circle and is globally more uniform than the previously used reduced Gaussian grid (prefix 'N'). It is based on a new mesh that also allows for future implementations of a hybrid spectral/grid-point model. The computational cost is reduced by about 25% compared to the cubic grid as fewer grid point calculations are needed.
Meteorological content of IFS cycle 41r2
Data assimilation:
Compute scale-dependent hybrid B (background error covariance) by adding samples from latest EDA forecast to static climatological B with increasing weight of today's EDA for smaller wavelengths (30% up to T63, growing to a maximum 93% at T399).
The EDA now cycles its own background error and covariance estimates, rather than using climatological estimates.
Change to use the Sonntag equation for saturation vapour pressure in humidity observation operators to improve saturation calculation for very cold temperatures (colder than -40C).
Satellite:
GPSRO (radio occultation) observation errors based on a physical error propagation model are increased by 25% to account for missing sources of error (e.g. observation error correlations, forecast model error). Improves lower stratosphere/tropopause winds and temperatures.
Activated SSMIS F-18 humidity sounding channels over ocean and extended all-sky assimilation to snow covered land surfaces.
Improved specification of AMSU-A observation errors based on satellite (due to instrument noise characteristics and ageing) and situation (cloud, orography) thereby increasing the number of observations assimilated.
Improved aerosol detection and screening for IASI infrared satellite data.
Increased use of Atmospheric Motion Vectors (AMVs), including extension in latitudinal coverage from geostationary platforms from 60 to 64 degrees zenith angle and addition of Meteosat mid-height AMVs derived from infrared imagery.
Revised data selection (screening) of cold-air outbreaks in low-peaking all-sky microwave channels to allow more data to be assimilated.
Updated microwave observation operator coefficient files (54-level RTTOV files with latest spectroscopy)
Numerics:
- Changed from linear to cubic truncation for the spectral dynamics and from a linear reduced Gaussian to an octahedral reduced Gaussian grid for HRES, ENS and 4DVAR and EDA outer loops.
Increased semi-lagrangian departure point iterations from 3 to 5 to remove numerical instabilities near strong wind gradients, particularly improving East Asia (downstream of the Himalayas) and improved representation of tropical cyclones.
Changed formulation of the horizontal spectral diffusion to a spectral viscosity with significantly reduced damping at the small scales.
Removed dealiasing filter on rotational part of the wind as no longer needed for cubic grid (no aliasing).
Reduced diffusion in the sponge layer near the top of the model (above level 30) scaled by grid resolution rather spectral resolution, due to new cubic grid.
Physics:
Improved representation of radiation-surface interactions with approximate updates every timestep on the full resolution grid leads to a reduction in 2m temperature errors near coastlines.
- Included surface-tiling for long-wave radiation interactions to reduce occasional too cold 2m temperature errors over snow.
- Improved freezing rain physics and an additional diagnostic for freezing rain accumulation during the forecast.
Introduced resolution dependence in the parametrization of non-orographic gravity wave drag, reducing with resolution and improving upper stratospheric wind and temperature for HRES and ENS.
- Changed the parcel perturbation for deep convection to be proportional to the surface fluxes, reducing overdeepening in tropical cyclones.
Increased cloud erosion rate when convection is active, to reduce cloud cover slightly and improve radiation, particularly over the ocean.
- Improvements of linear physics used in the data assimilation for gravity wave drag, surface exchange and vertical diffusion, improving near-surface winds over ocean in the short-range.
Correction to solar zenith angle for the sunshine duration diagnostic. For clear sky days the sunshine duration increases by 2 hours, now in good agreement with observations. For cloudy days, sunshine duration may now be overestimated due to an existing underestimation of cloud optical thickness.
Ensemble:
Modified SKEB (Stochastic Kinetic Energy Backscatter) stochastic physics necessary for the new cubic grid, removing the numerical dissipation estimate from the dissipation rate. Reduces ensemble spread slightly, but this is then consistent with reduced error (RMSE) in the new cycle.
Modified singular vector calibration to compensate for increased variance from the higher resolution EDA.
Meteorological impact of the new cycle
Comparison of scores between IFS cycle 42r1 and IFS cycle 41r1 can be found in the IFS cycle 41r2 scorecard.
Upper air
The new model cycle (41r2) provides improved HRES and ENS performance throughout the troposphere. In the HRES there is a significant reduction of forecast errors in upper-air fields in the extra-tropics. Error reductions on the order of 2-3% are found for most upper-air parameters and levels. The improvement in the primary headline score for the HRES (lead time at which the 500 hPa geopotential anomaly correlation drops below 80%) is about 2 hours (0.08 days). Improvements are seen both in verification against the model analysis and verification against observations. In the tropics, evaluation against model analysis shows an apparent degradation in the short and near-medium range, mostly due to a more active analysis resulting from the increase in resolution of the EDA. Verification against observations, however, gives neutral to positive results in the tropics, except for temperature at 500 hPa, which shows a slight degradation.
The root mean square error (RMSE) and anomaly correlation for temperature are both improved in the extra-tropics, but there is a small (0.2 K) mean cooling in the upper troposphere. As the mean geopotential in the lower stratosphere is sensitive to changes in the vertically integrated tropospheric temperature, this shows up as an increased RMSE for geopotential at 100 hPa. The upper air scores over East Asia are significantly better associated with an improved representation of the flow downstream of the Himalayas due to the new cubic grid and more stable numerics. The overall kinetic energy spectra of the model is significantly improved with an increase in the energy towards the smaller scales.
Changes in skill of the ENS are generally similar to the HRES, with improvements in the extra-tropics on the order of 2-3% (CRPS reduction), and degradations in the tropics when verified against analysis. The improvement in the primary headline score for the ENS (lead time at which the CRPSS of the 850 hPa temperature drops below 25%) is ~0.2 days. The overall kinetic energy spectra of the model is significantly improved with an increase in the energy towards the smaller scales.
Weather parameters
The increased resolution leads to a better representation of coastlines and orography with potential for improved local prediction. The new model cycle yields consistent gains in forecast performance in the tropics and extra-tropics for 2m temperature, 2m humidity, and 10m wind speed. Precipitation forecasts are slightly improved in the extra-tropics and slightly deteriorated in the tropics. Mostly neutral results are found for forecasts of total cloud cover.
The increase in forecast skill for 2m temperature as measured by the reduction of RMSE is about 3% in the northern hemisphere extra-tropics and 1% in the tropics. There is a mean cooling in the northern hemisphere of about 0.05 K. Changes to the calculation of radiative fluxes lead to particular improvements in near coastal 2m temperatures at places where surface conditions vary abruptly.
For 2m dewpoint, RMS error reductions of 2% are observed in the NH, and neutral results are obtained for the tropics. There is an overall reduction of 2m dewpoint on the order of 0.05 to 0.1 K.
The RMSE for 10m wind speed improves by about 2% overall. There is no significant change in the mean in the northern hemisphere, and a reduction on the order of 0.05 m s-1 in the tropics.
Forecast skill for 24 hour precipitation totals shows an overall slight improvement in the northern hemisphere, and a small (1%) degradation in the tropics. This degradation in the tropics is seen in the SEEPS score but not in the RMSE.
Total cloud cover shows improvements in RMSE on the order of 0.5% in the tropics and neutral results in the extra-tropics.
There is a substantial reduction in localized (unrealistic) precipitation extremes over orography. The improvement is due to the cubic grid representation and modifications in the semi-Lagrangian advection scheme.
Tropical cyclones
The structural representation of tropical cyclones is improved with a more clearly defined eye and better resolved rainbands. Evidence from case studies shows that the increase in resolution leads to improved forecasts of tropical cyclone intensity in the ENS. Initial ensemble spread is also improved for tropical cyclones by the increased resolution in the EDA. For HRES, the tropical cyclone impact of the resolution change is smaller. Case studies show a better representation of the precipitation pattern around the core of tropical cyclones in the new cycle. This improvement is due to changes in model numerics (move to cubic grid and changes in the semi-Lagrangian scheme).
Wave forecast
Results for ocean wave height are positive, except for a deterioration in the very short range (day 1) in the tropics when verified against the analysis. A similar short-range degradation is seen for 10m wind speed over ocean areas. This is due to an increase in activity of the low-level wind and wave analyses associated with the move from TL1279 to TCO1279. When verified against observations (buoys), no degradation is seen. Wave period has a mixed signal and may require some retuning in the next cycle.
Monthly forecast
Results suggest a generally neutral effect on upper-air and near surface skill scores in the tropics and for the MJO. For extra-tropical skill there is a slight improvement coming from the change to a cubic grid. Tropical cyclone sub-seasonal prediction is also improved.
Data assimilation / analysis
The kinetic energy spectrum has changed in the analysis even more than for the HRES. Whereas the analysis used to have less energy in the smaller scales compared to the forecast, both now have the same improved energy spectra. The background error variances derived from the higher-resolution EDA are larger in many areas, particularly in the tropics, leading to closer analysis fit to observations. Observation-minus-background departure statistics have improved for wind profile data.
Technical details of the new cycle
Changes to resolution and the use of the octahedral reduced Gaussian grid
See IFS cycle 41r2 resolution changes for a technical summary of the resolution changes for the atmospheric, wave and ocean component models of HRES and ENS.
IFS cycle 41r2 introduces a new form of the reduced Gaussian grid, the octahedral grid, for both HRES and ENS. See Introducing the octahedral reduced Gaussian grid for further details.
The figures below show the grid spacing and orography fields in a cylindrical projection for HRES, ENS and ENS Extended comparing old (41r1, left) and new (41r2, right) resolutions over a region covering the Alps (43.0°S to 49.0°N, 4.5°E to 17.0°E).
HRES
| Old: N640 original reduced Gaussian grid (~16 km resolution) | New: O1280 octahedral reduced Gaussian grid (~9 km resolution) |
|---|---|
 |  |
ENS
| Old Day 0 - 10: N320 original reduced Gaussian grid (~32 km resolution) | New Day 0 - 15: O640 octahedral reduced Gaussian grid (~18 km resolution) |
|---|---|
 |  |
| Old Day 11 - 46 : N160 original reduced Gaussian grid (~64 km resolution) | New Day 16 - 46: O320 octahedral reduced Gaussian grid (~36 km resolution) |
 |  |
The octahedral reduced Gaussian grid has a slightly lower resolution than the corresponding original reduced Gaussian grid with the same number of latitude lines. For example, the O640 grid has a resolution of ~18 km whereas the resolution of the N640 grid is ~16 km.
Changes to GRIB encoding
Grid description
The increase in horizontal resolution for HRES and ENS is reflected in changes to the GRIB headers. For the model reduced Gaussian grid these are documented in the table below.
| GRIB 1 Section 2 Octets | GRIB 2 Section 3 Octets | grib_api key | HRES | ENS | ENS Extended | |||
|---|---|---|---|---|---|---|---|---|
| Old | New | Old (Day 0 - 10) | New (Day 0 - 15) | Old (Day 11 - 46) | New (Day 16 - 46) | |||
| 9-10 | 35-38 | Nj | 1280 | 2560 | 640 | 1280 | 320 | 640 |
| 11-13 | 47-50 | latitudeOfFirstGridPointInDegrees | 89.892 | 89.946 | 89.784 | 89.892 | 89.570 | 89.784 |
| 18-20 | 56-59 | latitudeOfLastGridPointInDegrees | -89.892 | -89.946 | -89.784 | -89.892 | -89.570 | -89.784 |
| 21-23 | 60-63 | longitudeOfLastGridPointInDegrees | 359.859 | 359.929 | 359.718 | 359.860 | 359.437 | 359.722 |
| 26-27 | 6-7 | N | 640 | 1280 | 320 | 640 | 160 | 320 |
| 33-nn | 35-nn | pl | N640 | O1280 | N320 | O640 | N160 | O320 |
Model identifiers
The GRIB model identifiers (generating process identification number) for the new cycle will be changed as follows:
| GRIB 1 Section 1 Octets | GRIB 2 Section 4 Octets | grib_api key | Component | Model ID | |
|---|---|---|---|---|---|
| Old | New | ||||
| 6 | 14 | generatingProcessIdentifier | Atmospheric model | 145 | 146 |
| Ocean wave model | 111 | 112 | |||
| HRES stand-alone ocean wave model | 211 | 212 | |||
GRIB edition 1 message size
Users may note that the value stored in Octets 5-7 of Section 0 (Indicator Section) used to specify the total message length of a GRIB edition 1 message does not correspond to the actual size of the message. This is the result of a convention used by ECMWF to encode fields in GRIB edition 1 where the size of the binary data section (Section 4) is too large to be stored in the header. This convention is used whenever the binary data section is larger than 8388607 bytes (Hex 7F FF FF). The correct message length, taking into account this convention, is reported by the grib_api key "totalLength". Similarly, the length of Section 4 (Binary Data Section) reported correctly by the grib_api key "section4Length".
Changes to forecast products
Increased field sizes
The size of the Gaussian grid point fields produced have increased by a factor of 3 while the size of the spectral fields remains unchanged. When retrieving data via MARS or dissemination, if no spectral truncation or grid resolutions are specified, fields are provided at model resolution.
In particular, users should be aware of the increase in memory and CPU time needed to process the increased resolution (grid-point) fields and adjust their programs and batch scripts appropriately. Increase in data volume provides a summary of the field sizes at the new horizontal resolutions.
New model output parameters
An additional diagnostic for freezing rain accumulation during the forecast is introduced. CAPE-Shear, previously introduced for the EFI, will be provided also for the HRES and ENS. A new wave product will also be introduced. The availability of test data for these new parameters will be announced via updates to this page.
| paramId | shortName | name | units | GRIB edition | Component | Dissemination | Proposed for Catalogue |
|---|---|---|---|---|---|---|---|
| 228216 | fzra | Accumulated freezing rain | m | 1 | HRES / ENS |  | TBC |
| 228044 | capes | Convective available potential energy shear | m2/s2 | 1 | HRES / ENS | TBC | TBC |
| 140120 | sh10 | Significant wave height of all waves with period larger than 10s | m | 1 | HRES-WAM / ENS-WAM / HRES-SAW | TBC | TBC |
Correction to solar zenith angle for the sunshine duration diagnostic
A correction has been made to the solar zenith angle for the sunshine duration diagnostic (shortName: sund; paramId 189). For clear sky days the sunshine duration increases by 2 hours, now in good agreement with observations. For cloudy days, sunshine duration may now be overestimated due to an existing underestimation of cloud optical thickness.
Correction to the interpolation method used for the precipitation type diagnostic
A correction has been made to the interpolation method used by both MARS and product generation for the precipitation type diagnostic (shortName: ptype; paramId 260015) introduced at IFS cycle 41r1. Users of this product on interpolated grids will obtain a field where the index-nature is preserved as integer values. Previously, the interpolated product contained erroneous non-integer values.
Discontinued ENS Calibration / Validation forecasts
The two specific ENS Calibration / Validation forecasts (MARS class="OD", STREAM=ENFO, class="CV") are discontinued with the implementation of IFS cycle 41r2. They are no longer needed, as the IFS cycle 41r2 medium-range ENS will run with a consistent resolution throughout the 15 days.
Discontinued ENS variable resolution overlap products
The current ENS variable resolution overlap products (MARS class="OD", STREAM=EFOV) provided from day 9 to 10 are discontinued. Overlap data is provided instead from day 14 to 15 for ENS Extended only, when it is run, twice per week on Mondays and Thursdays.
Simulated satellite images
Simulated satellite images operationally available as charts from the ECMWF web site and as GRIB fields from MARS are currently not being produced by 41r2. Updates on their availability will be provided via this web page.
Software
The ECMWF software stack has been upgraded to support the octahedral grid. This includes upgrades to EMOSLIB, MARS, Metview, GRIB_API and product generation (dissemination).
All software versions are subject to change depending on the results of ongoing testing.
The current status of the software versions needed to process fields on the octahedral grid are detailed in the December 2015 software releases.
MARS - the meteorological archive
MARS has been adapted to support retrieval of data on the octahedral reduced Gaussian grid. Users can test the retrieval of IFS cycle 41r2 test data on ECMWF systems with the command:
mars <retrieve request>
MARS language changes (MARS and dissemination)
The MARS post-processing keyword 'GRID' now accepts values comprising a letter denoting the grid name followed by an integer (the grid number) representing the number of lines from pole to equator. For example, use:
- GRID = N640 to specify output on the original reduced Gaussian grid with 640 latitude lines between pole and equator;
- GRID = F640 to specify output on the full (or regular) Gaussian grid with 640 latitude lines between pole and equator;
- GRID = O640 to specify output on the octahedral reduced Gaussian grid with 640 latitude lines between pole and equator.
Not all grid names and grid number combinations are supported. MARS requests specifying an unsupported grid will fail. For example, a retrieval request with GRID=O123 will return an error. A list of supported grid names and grid numbers will be provided.
In addition, the MARS post-processing keywords GAUSSIAN=REDUCED and GAUSSIAN=REGULAR are deprecated.
- If the GAUSSIAN keyword is used along with, e.g. GRID=O640, GRID=N640 or GRID=F640 then it is ignored.
- A MARS request with GRID=640, GAUSSIAN=REDUCED returns the original reduced Gaussian grid with 640 latitude lines between pole and equator (equivalent to GRID=N640).
- Similarly, a MARS request with GRID=640, GAUSSIAN=REGULAR returns the full (regular) Gaussian grid with 640 latitude lines between pole and equator (equivalent to GRID=F640).
- A MARS request with GRID=640 only (no GAUSSIAN keyword) returns the full (regular) Gaussian grid with 640 latitude lines between pole and equator (equivalent to GRID=F640).
MARS requests specifying GRID=AV will return the model grid. After the implementation of IFS cycle 41r2, this will be O1280 for HRES, O640 for ENS (Day 0 - 15) and O320 for ENS Extended (Day 16 - 46).
The MARS keyword RESOL=N128 was used to truncate products from ENS Day 0 - 10 to the N=128 original reduced Gaussian grid of ENS Day 11 - 16 prior to interpolation to regular latitude-longitude grids. Following the horizontal resolution upgrade, anyone using this intermediate interpolation method should use RESOL=O320 to truncate O640 ENS Day 0 -15 products to the O320 octahedral grid of ENS Extended (Day 16 - 46).
EMOSLIB
EMOSLIB 000420 provides preliminary support for octahedral grids. This includes full support for interpolation of input octahedral grids to any of the previously supported grids as well as spherical transforms to the new octahedral grids.
For more information please check version 000420 changes..
EMOSLIB 000420 has a known performance issue when interpolating from Octahedral to lat/lon grids. The same performance issue is present also for fields interpolated with the default version of MARS.
The performance issues have been addressed in EMOSLIB 000433 by rewriting parts of the necessary code. Tests have shown that the performance has been greatly increased and accuracy improved, but the new code causes values to change in some cases. We are happy that these changes are correct but further evaluation by ECMWF is ongoing. If further issues are found then these will be addressed and an updated version of EMOSLIB released. Therefore we ask users to test and evaluate EMOSLIB 000433 carefully before using it operationally. Further information about the differences will be provided when the evaluation is complete.
Starting from EMOSLIB 000410 calls to GRIBEX are no longer supported.
Any call to GRIBEX will result in ABORT'ed code with the following error message:
GRIBEX: functionality superseded by GRIB_API. ABORTX : Routine GRIBEX has requested program termination.
Any code that still relies on GRIBEX should be migrated to use GRIB API at your earliest convenience.
GRIB API
Preliminary support for the octahedral grid is provided from grib_api 1.14.2. Users of the grib_find_nearest routine are strongly advised to upgrade to at least this version.
Older versions of grib_api can decode the octahedral grid successfully but users are advised to use at least grib_api version 1.12.3.
Dissemination
The MARS language changes described above apply also to the web based dissemination requirements tool.
Two specific ENS Calibration / Validation forecasts (MARS class="OD", STREAM=ENFO, class="CV") will be discontinued with the implementation of IFS cycle 41r2. Any dissemination requirements requesting these products will be taken out of dissemination streams by ECMWF on the day of 41r2 cycle implementation.
ENS variable resolution overlap products (MARS class="OD", STREAM=EFOV) provided currently from day 9 to 10 will also be discontinued. Thus, all EFOV requirements will be taken out of dissemination streams by ECMWF on the day of 41r2 cycle implementation.
New overlap data, provided from day 14 to 15 for ENS Extended run, will have to be requested by users themselves once 41r2 cycle has been implemented.
Since there is no ENS resolution change Day 0-15 in the IFS cycle 41r2, requesting field resolution truncation in dissemination for Day 0-10 is no longer needed. The MARS keyword RESOL=N128 was used to truncate products from ENS Day 0-10 to the N=128 original reduced Gaussian grid of ENS Day 11-16 prior to interpolation to regular latitude-longitude grids. Users are strongly advised to remove truncation request from their dissemination requirements.
Time-critical applications
Information will be provided at a later date for users wishing to test their time-critical option 1, 2 or 3 applications with the higher resolution data .
Availability of IFS cycle 41r2 test data
Test data in MARS
IFS cycle 41r2 test data are available in MARS. The data are available with experiment version is 0069 (MARS keyword EXPVER=0069). The data can be accessed in MARS from:
- HRES (class=od, stream=oper, expver=69)
- Wave HRES (class=od, stream=wave, expver=69)
- ENS (class=od, stream=enfo, expver=69)
- WAM ENS (class=od, stream=enfo, expver=69)
The data are intended for testing technical aspects only and should not be used for operational forecasting.
Only data from 12 UTC on 9 November 2015 have been produced with the corrected land-sea mask and other climatological fields.
All registered users of ECMWF computing systems will be able to access the test data sets in MARS. Users of our operational real time forecasts without access to our systems can contact our Data Services to obtain test data.
Please use the Contact us form to report any problems you find during your testing.
Test data in dissemination
IFS cycle 41r2 test data will be available through test dissemination system, close to real time, from 8 December 2015. Currently IFS cycle 41r2 dissemination products are based on users' operational dissemination requirements, backwards compatible with the IFS cycle 41r1.
Users will be notified via these web pages when additional, IFS cycle 41r2-specific dissemination functionality becomes available. Users will be able to request dissemination products from a new 0.1 degree base grid from the high resolution forecast as well as 0.2 degree based grid from the ENS (days 1 to 15) and 0.4 degree based grid from the ENS Extended run. In addition, 0.125 degree based grid products will be made available from the global in-coupled wave model, 0.25 degree based products from the ENS-WAM and 0.1 degree based products from the HRES-SAW model. Users will also be able to request data on the octahedral grid.
The very first, initial set of 41r2 test dissemination products will not include derived ENS products (clusters, means, probabilities and EFIs). They are generated and disseminated as a single dissemination file for steps STEP=240 and 360. Users will be notified via this web page as soon as these products become available.
How to request dissemination of IFS cycle 41r2 test data
The IFS cycle 41r2 test products are available on the ECPDS as version number 69. The test products will be generated daily, shortly behind real-time from both the 00UTC and 12UTC runs and based on the IFS cycle 41r2 test data for HRES, ENS, WAM, ENS_WAM and HRES-SAW.
Users of ECMWF dissemination products can trigger transmission of test products by logging in to the test ECPDS system at https://ecpds-xmonitor.ecmwf.int/ in the usual manner. In order to receive the test products, users have to have their firewall open to the relevant ECPDS Data Movers:
- Internet transfers: 193.61.196.104 (ecpds-xma.ecmwf.int) 193.61.196.105 (ecpds-xmb.ecmwf.int)
- RMDCN transfers: 136.156.8.132 (mspds-dm4.ecmwf.int)
Should you require any assistance with IFS cycle 41r2 test dissemination products, please contact Unknown User (maj).
Technical details on how to update the dissemination requirements to request new IFS cycle 41r2 data, like octahedral grid, will be provided in due course (target mid January).
Graphical display of IFS cycle 41r2 test data using ecCharts
For the first time, ecCharts offers our forecast users new opportunities to inspect the IFS cycle 41r2 test data and compare with the operational forecast, as shown in the examples below. This facility is provided for testing purposes: the 41r2 test charts should not be relied upon for operational forecasting. Note in particular that the availability and timeliness of the 41r2 test data will vary, and can be considerably delayed with respect to the operational schedule. Any plot containing 41r2 test data will therefore be late compared to operational products.
IFS cycle 41r2 test data is accessible via the ecCharts layers menu, identified by the label "esuite 0069" as shown in the screenshot on the left. They can be displayed as any other layers of ecCharts, and they can be saved in the Dashboard, as seen in the screenshot on the right.
The point probe and time series tools will be also available for the 41r2 test data.
ENS meteograms based on IFS cycle 41r2 test data
ENS Meteograms based on IFS cycle 41r2 test data will be available after 9 December 2015. They can be plotted by choosing 'E-suite' under the Experiment tab on the interactive page ENS meteogram page provided under the ECMWF Forecast Charts page as shown in the screenshot below.
Contact us
If you experience any problems during your testing or have any questions about the planned upgrade then please use the Contact us form and include a description of your problem.
Document versions
| Date | Reason for update |
|---|---|
| 4 November 2015 |
|
| 8 December 2015 |
|