IFS cycle 41r2 includes a large number of changes including a change of horizontal resolution now using Octahedral grid.
|Implementation date: 8 Mar 2016||See News article|
|Detailed description of changes|
|Key characteristics of our current forecasting system|
Data set affected
|Scorecard for 41r2|
|Meteorological impacts|| |
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.
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.
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).
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.
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 changes|| |
|Model ID|| |
|New disseminated model output|| |
|Discontinued disseminated model output|| |
|e-suite experiment number 0069|