Page History

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The planned timetable for the implementation of the cycle 46r1 is as follows:

The timetable represents current expectations and may change in light of actual progress made.

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• Continuous data assimilation. Number of 4D-Var outer loops increased from 3 to 4. Early delivery assimilation window length increased from 6 to 8 hours. Observation cut off time extended.
• Ensemble of Data Assimilations (EDA) increased from 25 members to 50 members.
• Use of the EDA spread to compute the Simplified Extended Kalman Filter (SEKF) soil analysis Jacobians.
• Weakly coupled data assimilation introduced for sea-surface temperature in the tropics only.
• Consistent spatial interpolation of the model to observation locations in trajectories and minimisations. Interpolation in nonlinear trajectories changed from bicubic to bilinear interpolation.
• RRTOV RTTOV upgraded from v12.1 to v12.2.

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The GRIB model identifiers (generating process identification number) for cycle 46r1 will be changed as follows:

New model output parameters

Extended output have been added in cycle 46r1, including a subset of ocean fields on the atmospheric grid.

paramId	shortName	name	Description	units	GRIB edition	Components	Test data available	Dissemination	ecCharts	Added to the Catalogue
Near-surface wind output
228239	200u	200 metre U wind component	eastward component of the 200m wind.	m s-1	1	HRES / ENS		TBC	TBC	TBC
228240	200v	200 metre V wind component	northward component of the 200m wind.	m s-1	1	HRES / ENS		TBC	TBC	TBC
Wave model parameters
140098	weta	Wave induced mean sea level correction	Wave induced mean sea level correction	m	1	HRES-WAM / HRES-SAW / ENS-WAM		TBC	TBC	TBC
140099	wraf	Ratio of wave angular and frequency width	Ratio of wave angular and frequency width	dimensionless	1	HRES-WAM / HRES-SAW / ENS-WAM		TBC	TBC	TBC
140100	wnslc	Number of events in freak waves statistics	Number of events in freak waves statistics	dimensionless	1	HRES-WAM / HRES-SAW / ENS-WAM		TBC	TBC	TBC
140101	utaua	U-component of atmospheric surface momentum flux	U-component of atmospheric surface momentum flux	N m-2	1	HRES-WAM / HRES-SAW / ENS-WAM		TBC	TBC	TBC
140102	vtaua	V-component of atmospheric surface momentum flux	V-component of atmospheric surface momentum flux	N m-2	1	HRES-WAM / HRES-SAW / ENS-WAM		TBC	TBC	TBC
140103	utauo	U-component of surface momentum flux into ocean	U-component of surface momentum flux into ocean	N m-2	1	HRES-WAM / HRES-SAW / ENS-WAM		TBC	TBC	TBC
140104	vtauo	V-component of surface momentum flux into ocean	V-component of surface momentum flux into ocean	N m-2	1	HRES-WAM / HRES-SAW / ENS-WAM		TBC	TBC	TBC
140105	wphio	Wave turbulent energy flux into ocean	Wave turbulent energy flux into ocean	W m-2	1	HRES-WAM / HRES-SAW / ENS-WAM		TBC	TBC	TBC
Ocean parameters available at the surface, produced by the NEMO model.
174098	sithick	Sea-ice thickness *	Sea-ice thickness	m	1	HRES / ENS		TBC	TBC	TBC
151148	mld	Mixed layer depth *	Mixed layer depth	m	1	HRES / ENS		TBC	TBC	TBC
151145	zos	Sea surface height *	Sea surface height	m	1	HRES / ENS		TBC	TBC	TBC
151163	t20d	Depth of 20C isotherm *	Depth of 20C isotherm	m	1	HRES / ENS		TBC	TBC	TBC
151130	so	Sea water practical salinity *	Sea water practical salinity	psu	1	HRES / ENS		TBC	TBC	TBC
151164	tav300	Average potential temperature in the upper 300m *	Average potential temperature in the upper 300m	degrees C	1	HRES / ENS		TBC	TBC	TBC
151175	sav300	Average salinity in the upper 300m *	Average salinity in the upper 300m	psu	1	HRES / ENS		TBC	TBC	TBC
* All fields are masked on land and lake points. tav300 and sav300 are masked on ocean points with depth < 300m.
Parameters on Potential Vorticity levels (+/-1.5 and 2 PVU)
129	z	Geopotential	This parameter is the gravitational potential energy of a unit mass, at a particular location, relative to mean sea level.	m2 s-2	1	HRES / ENS *		TBC	TBC	TBC
203	o3	Ozone mass mixing ratio	This parameter is the mass of ozone per kilogram of air.	kg kg-1	1	HRES / ENS *		TBC	TBC	TBC
3	pt	Potential Temperature	Potential Temperature	K	1	HRES / ENS *		TBC	TBC	TBC
54	pres	Pressure	Pressure	Pa	1	HRES / ENS *		TBC	TBC	TBC
133	q	Specific humidity	This parameter is the mass of water vapour per kilogram of moist air.	kg kg-1	1	HRES / ENS *		TBC	TBC	TBC
131	u	U component of wind	This parameter is the eastward component of the wind. It is the horizontal speed of air moving towards the east, in metres per second. A negative sign thus indicates air movement towards the west.	m s-1	1	HRES / ENS *		TBC	TBC	TBC
132	v	V component of wind	This parameter is the northward component of the wind. It is the horizontal speed of air moving towards the north, in metres per second. A negative sign thus indicates air movement towards the south.	m s-1	1	HRES / ENS *		TBC	TBC	TBC
* The perturbed forecasts for the ENS only contain the parameters pt, u and v.
Ensemble probabilities
131020	talm2	Temperature anomaly less than -2 K	Temperature anomaly less than -2 K	dimensionless	1	ENS		TBC	TBC	TBC
131021	tag2	Temperature anomaly of at least +2 K	Temperature anomaly of at least +2 K	dimensionless	1	ENS		TBC	TBC	TBC
131098	tpg25	Total precipitation of at least 25 mm	Total precipitation of at least 25 mm	dimensionless	1	ENS		TBC	TBC	TBC
131099	tpg50	Total precipitation of at least 50 mm	Total precipitation of at least 50 mm	dimensionless	1	ENS		TBC	TBC	TBC
131085	tpg100	Total precipitation of at least 100 mm	Total precipitation of at least 100 mm	dimensionless	1	ENS		TBC	TBC	TBC
131100	10fgg10	10 metre wind gust of at least 10 m/s	10 metre wind gust of at least 10 m/s	dimensionless	1	ENS		TBC	TBC	TBC
133093	ptsa_gt_1stdev	Probability of temperature standardized anomaly greater than 1 standard deviation	Probability of temperature anomaly greater than 1 standard deviation of the climatology.	dimensionless	2	ENS		TBC	TBC	TBC
133094	ptsa_gt_1p5stdev	Probability of temperature standardized anomaly greater than 1.5 standard deviation	Probability of temperature anomaly greater than 1.5 standard deviation of the climatology.	dimensionless	2	ENS		TBC	TBC	TBC
133095	ptsa_gt_2stdev	Probability of temperature standardized anomaly greater than 2 standard deviation	Probability of temperature anomaly greater than 2 standard deviation of the climatology.	dimensionless	2	ENS		TBC	TBC	TBC
133096	ptsa_lt_1stdev	Probability of temperature standardized anomaly less than -1 standard deviation	Probability of temperature anomaly less than -1 standard deviation of the climatology.	dimensionless	2	ENS		TBC	TBC	TBC
133097	ptsa_lt_1p5stdev	Probability of temperature standardized anomaly less than -1.5 standard deviation	Probability of temperature anomaly less than -1.5 standard deviation of the climatology.	dimensionless	2	ENS		TBC	TBC	TBC
133098	ptsa_lt_2stdev	of temperature standardized anomaly less than -2 standard deviation	Probability of temperature anomaly less than -2 standard deviation of the climatology.	dimensionless	2	ENS		TBC	TBC	TBC
Ensemble mean / Ensemble standard deviation
10	ws *	The speed of horizontal air movement in metres per second.	The speed of horizontal air movement in metres per second.	m s-1	1	ENS		TBC	TBC	TBC
130	t *	This parameter is the temperature in the atmosphere.	This parameter is the temperature in the atmosphere.	K	1	ENS		TBC	TBC	TBC
* These parameters have been added at 250 hPa.
Extreme Forecast Index (EFI) - Shift Of Tail (SOT)
132045	wvfi	Water vapour flux index	Water vapour flux index	dimensionless	1	ENS		TBC	TBC	TBC

Software

ecCodes

ecCodes version 2.12.0 provides full support for the new model output parameters introduced in IFS Cycle 46r1.

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• Peter Lean, Massimo Bonavita, Elías Hólm, Niels Bormann,Tony McNally: "Continuous data assimilation for the IFS" - ECMWF Newsletter 158. Available at https://www.ecmwf.int/en/newsletter/158/meteorology/continuous-data-assimilation-ifs

• Simon Lang, Elías Hólm, Massimo Bonavita, Yannick Trémolet (JCSDA, US): "A 50-member Ensemble of Data Assimilations" - ECMWF Newsletter 158. Available at https://www.ecmwf.int/en/newsletter/158/meteorology/50-member-ensemble-data-assimilations

• ECMWF 's website news item: "Upgrade to boost quality of ocean wave forecasts". Available at https://www.ecmwf.int/en/about/media-centre/news/2019/upgrade-boost-quality-ocean-wave-forecasts
• Frédéric Vitart, Gianpaolo Balsamo, Jean-Raymond Bidlot, Simon Lang, Ivan Tsonevsky, David Richardson, Magdalena Alonso-Balmaseda: "Use of ERA5 to Initialize Ensemble Re-forecasts" - ECMWF Technical Memorandum nr. 841. Available at https://www.ecmwf.int/en/elibrary/18872-use-era5-initialize-ensemble-re-forecasts

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