Scatterometer use in NWP at ECMWF
Physical characteristics
Contents
- Spectral model
- Horizontal resolution: TCO1279 (~9 km Gaussian grid)
- Vertical resolution: 137 vertical levels
- Analysis times: 00,12 Z
Data assimilation method
- Since 29th June 2004, ECMWF have been running an early delivery stream (DA) and a delayed cut-off stream (DCDA). The DCDA is the equivelent of the Met Office update run and is used to generate the background for the next cycle. The early delivery stream is the equivelent of the Met Office main forecast run and is used to generate the operational forecasts.
- DA: 4-D VAR, 6-h time window.
- DCDA: 4-D VAR, 12-h time window.
- Time window:
- DA: T ± 3 hr
- DCDA: T-3 hr – T+9 hr
- Time constraints (model runtime):
- DA: 1 hr after time window ends
- DCDA: 5 hr after time window ends
Scatterometers assimilated
Scat name | Product | Models assimilated |
ASCAT-A | Wind retrieval from the ASCAT L1 BUFR 25km products using the CMOD5.N GMF | Global Deterministic Model , Global Ensemble Prediction System, Seasonal Forecast |
ASCAT-B | Wind retrieval from the ASCAT L1 BUFR 25km products using the CMOD5.N GMF | Global Deterministic Model , Global Ensemble Prediction System, Seasonal Forecast |
ASCAT-C | Wind retrieval from the ASCAT L1 BUFR 25km products using the CMOD5.N GMF | Global Deterministic Model , Global Ensemble Prediction System, Seasonal Forecast |
Monitoring
External monitoring web pages
- http://www.ecmwf.int/en/forecasts/charts/obstat : no password required
Generic Quality Control
Blacklisting
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Ambiguity removal ASCAT-A/B/C:Normally two ambiguous pairs of U and V wind components are found at each location. In 4D-Var both ambiguous winds are used and the most appropriate solution is dinamically determined by comparison with ECMWF background fields. |
Bias correction ASCAT-A/B/C:A sigma nought bias correction is applied to ASCAT backscattering measurements before the wind inversion. The bias correction is computed by the use of the ocean calibration method, by comparison to ECMWF first-guess winds. The sigma nought bias correction is dependent of the beam and the incidence angle. A wind speed bias correction is applied to ASCAT wind after the wind inversion. It is wind speed and incidence angle dependent. |
Thinning ASCAT-A/B/C:
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Background check
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Specific Quality Control
Global model
Scat name | ASCAT-A/B/C |
Operational since | June 2007 (ASCAT-A), July 2013 (ASCAT-B), Dec 2019 (ASCAT-C) |
Observation error U/V | 1.5 m/s |
Wind speed range | Observed and background winds < 35m/s |
Bias corrected? | Sigma nought and wind speed bias correction applied |
Crosstrack cells used | Nodes 1,5,9,13,17,21,22,26,30,34,38,42 |
QC thresholds | Rank-1 distance to the cone < 1.5 |
Observation Operator
Observations are assimilated as equivalent-neutral 10m winds.
Lowest model level
- Height of the lowest model level: ~10m
Interpolation
- Model wind fields are horizontally interpolated to the observation location using a 4-point bi-linear interpolation.
- The vertical interpolation between the lowest model level and the surface is performed using the formulation of Geleyn that is based on Monin-Obukhov similarity theory.
History of Changes
The list includes the main scatterometer or model changes implemented operationally in the ECMWF model.
References
Hersbach, H. and Janssen, P. (2007). Preparation for assimilation of surface-wind data from ASCAT at ECMWF. ECMWF Research Department Memorandum R60.9/HH/0750. Available from ECMWF on request. |
Hersbach, H. (2008). CMOD5.N: A C-band geophysical model function for equivalent wind, ECMWF Technical Memorandum 554, UK. Available from: http://www.ecmwf.int/en/elibrary/9873-cmod5n-c-band-geophysical-model-function-equivalent-neutral-wind |
Hersbach, H., (2010). Assimilation of scatterometer data as equivalent-neutral wind, ECMWF Technical Memorandum 629. Available from: http://www.ecmwf.int/en/elibrary/9874-assimilation-scatterometer-data-equivalent-neutral-wind |
IFS-documentation (2012). Available from https://software.ecmwf.int/wiki/display/IFS/Official+IFS+Documentation |