Impact Studies Of Ascat Winds in the ECMWF 4D-var Assimilation System

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Presentation transcript:

Impact Studies Of Ascat Winds in the ECMWF 4D-var Assimilation System Giovanna De Chiara, Peter Janssen, Jean Bidlot, Stephen English Acknowledgement Thanks to EUMETSAT for supporting the activity through the project EUM/CO/12/4600001149/JF

ASCAT impact study Monitoring and assessment of the impact of ASCAT wind observations on the Global Observing System (GOS). Evaluate the impact of ASCAT winds on the Global Observing System Better characterize the impact on analysis and forecasts of severe events i.e. tropical cyclones Improve the Assimilation Strategy Observing System Experiments in different GOS configuration Full System: copy of the Operational System Starved System: Full System without Geostationary Satellites MW Imagers (AMSR-E/TMI/SSMIS) AMVs Starved+ System: Starved System without AMSU-A Experiments set-up T511 (~ 40km) CY38R1 17 Dec 2012 – 28 Feb 2013 Use of Ocean Currents (Mercator) Label ASCAT-A ASCAT-B OSCAT ALL in Y A-O N B-O O Den

Forecast Verification – Full System ALL in (A/B/O) - A/O Vector Wind RMS forecast error Verified against own analysis

Forecast Verification – Full System B/O - A/O Vector Wind RMS forecast error Verified against own analysis

Verification vs Altimeter winds (JASON-1) – Full System Tropics ALL IN A/O B/O O Denial

Verification vs Altimeter winds (JASON-1) – Starved+ System Tropics ALL IN A/O B/O O Denial

Single Observation Experiments (1 ASCAT-A) TC Haiyan – CY40R1 2013110712 [Assimilation Window 9 - 21] 1 ASCAT-A obs @ 1pm

Single Observation Experiments (1 ASCAT-A) 00 [09h] 03 [12h] T1279 06 [15h] 12 [21h] 09 [18h]

Single Observation Experiments (1 ASCAT-A) U An Incr @ 18h ML 114 ML PL(hPa) 137 ~ 1013 114 ~ 850 96 ~ 500 79 ~ 250 60 ~ 100 U An Incr @ 18h V An Incr @ 18h 50 50 Model Levels 100 100 S N S N 137 137

Single Observation Experiments (1 ASCAT-A + 1 AMSU-A) 1 ASCAT-A Obs + 1 AMSU-A (METOP-A): ch5 (600 hPa / ml 100) ch5/ch6 (600/400 hPa – ml 100/90) ch9 (100 hPa – ml 60) ch9/ch10 (100/50 hPa - ml 60/50) CY40R1 T511 - An Incr 09 [18h] ASCAT-A + AMSU-A (Ch5&6) ASCAT-A U - ML 114 U - ML 114

Single Observation Experiments (1 ASCAT-A + AMSU-A) U Scatt U Scatt + AMSUA (CH5&6) V Scatt + AMSUA (Ch9&10) V Scatt

Case study: Typhoon Haiyan Typhon Haiyan hit the Philippines on the 8 November 2013 with winds of about 315 km/h. ECMWF forecast well the storm trajectory but the storm lacked in intensity and strength both in the analysis and forecasts. Reported central pressure was 895 hPa at 00 UTC on 8 November (uncertainty on the observation) ECMWF analysis was 966 hPa The difference in the minimum pressure was partially due to the model resolution

Typhoon Haiyan

All observations (active and passive) Typhoon Haiyan All observations (active and passive) 10m ASCAT-A wind speed 10m FG wind speed

Typhoon Haiyan Used observations 10m ASCAT-A wind speed 10m FG wind speed

Typhoon Haiyan Experiments Configuration T511 (~ 40km) - CY38R1 g004: CTRL g00a: Scatterometer Denial g0qe: Thinning=2 (~50 km) & obs weight 1/4 g0q6: No Thinning & obs weight 1/16 Thinning =2 No Thinning

Conclusions Summary ASCAT-A and ASCAT-B are consistent and have the same impact on the system. Verification against independent observations shows that the assimilation of scatterometer winds is beneficial on the analysis, largest impact coming from ASCAT: Main impact is in the Tropics A positive impact on the short range forecast is seen in the starved systems Single observation experiments showed that: the impact of Scatterometer winds can be propagated up to the tropopause ASCAT and AMSU-A do not work one against each other A Typhoon Haiyan showed that for small scale events the QC and the thinning may prevent the strongest wind to be used in the analysis: Tests on several thinning configurations are under examination on a global scale and for TC Different VarQC settings are under testing The QC will be revisited by testing the Huber Norm

ASCAT & OSCAT assimilation strategy ASCAT (25km) Wind inversion is performed in-house using the CMOD5.N GMF Assimilated as 10m equivalent neutral winds Calibration and Quality control: Sigma nought bias correction before the wind inversion Wind speed bias correction after wind inversion Screening: Sea Ice check based on SST and Sea Ice model Thinning: 100 km Threshold: 35 m/s Observation error: 1.5 m/s OCEANSAT-2 (50km) Use of L2 wind products from OSI-SAF (KNMI) Wind speed bias correction (WVC and WS dependent) Quality control: - Screening: Sea Ice check on SST and Sea Ice model - No thinning; weight in the assimilation 0.25 Observation error: 2 m/s Threshold: 25 m/s

Forecast Sensitivity to Observations – Full System Regional statistics show that the larger impact is in the SH.

Forecast Sensitivity to Observations – Full System

Single Observation Experiments (1 ASCAT-A) U-comp EDA Background Error V-comp ML 96 ML 96 ML 114 ML 114 ML 137 ML 137