1 / 16

Use of satellite data at Météo-France

Use of satellite data at Météo-France. Élisabeth Gérard Météo-France/CNRM/GMAP/OBS, Toulouse, France on behalf of: É. Gérard, F. Rabier, N. Fourrié and D. Lacroix (ATOVS) C. Payan and F. Rabier (Météosat). ATOVS data. Operational implementation of

ryanadan
Télécharger la présentation

Use of satellite data at Météo-France

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Use of satellite data at Météo-France Élisabeth Gérard Météo-France/CNRM/GMAP/OBS, Toulouse, France on behalf of: É. Gérard, F. Rabier, N. Fourrié and D. Lacroix (ATOVS) C. Payan and F. Rabier (Météosat) 25thEWGLAM/10thSRNWP Lisbon, Portugal 6-9 October 2003

  2. ATOVS data • Operational implementation of • Raw radiances instead of preprocessed radiances: 22 October 2002 (+ European & American profilers) • NOAA17 on top of NOAA15 & NOAA16: 17 December 2002 • AMSUA data only in operations • AMSUA data denial experiments (OSEs) • Research experiments with locally received data • Lannion/EARS in addition to Nesdis/Bracknell • Research experiments with HIRS 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

  3. Raw radiances instead of preprocessed radiances • No more 1DVar pre-processing • Ts in the control variable • Extrapolation above the top of the model (1 hPa) up to 0.1 hPa by regression • « Rain contamination » test • observation rejected if |obs-guess|channel 4 > 1.5 K • 250 km thinning • Data coverage more regular, less missing orbits, less scan border pixel removal • Use of more channels over land 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

  4. Raw radiances instead of preprocessed radiances Time series of rms errors and biases 24 hour forecast 200 hPa geopotential scores over 1 month 22 Aug - 22 Sep 2002 Northern Hemisphere Southern Hemisphere scores computed wrt their own analysis Preprocessed radiances Raw radiances 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

  5. AMSUA data denial experiments • Uniform (unstretched) ARPEGE: • 4DVar analysis T107C1L41 (up to 1hPa) • Forecast T359C1L41 with 1800 s time step • Experiments with and without AMSUA data: 23 Dec 2002  12 Jan 2003 • One forecast a day from 00 UTC analysis: • Short cut-off time: 03h50 (production) • Long cut-off time: 09h55 (assimilation) • Impact of AMSUA data wrt cut-off time 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

  6. Benefit of AMSUA data Time series of rms errors and biases 24 hour forecast 500 hPa geopotential scores over 3 weeks 23 Dec 2002 - 12 Jan 2003 Northern Hemisphere rms difference scores wrt long cut-off analysis with AMSUA data Southern Hemisphere With AMSUA (long cut-off) Without AMSUA rms difference 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

  7. AMSUA data denial experiments • Positive impact of using AMSUA data • More pronounced benefit • over Southern Hemisphere than Northern Hemisphere, • over North America than Europe, • when cut-off time is long • Increase of gain with forecast range more regular with long cut-off time over North America (more robust signal) • When AMSUA data are used, more gain wrt cut-off time is expected if short cut-off time is shorter (i.e. 1h50 @ 00 UTC in oper stretched ARPEGE model) 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

  8. EARS data • Eumetsat ATOVS Retransmission Service • Data rapidly available • No blind orbit for NOAA17 • (reception centres: Greenland, Norway, Canary Islands) Research experiments with locally received AMSUA data 13 March 2003 12 UTC Data available for the operational production, 1h50 cut-off time Nesdis/Bracknell data • Lannion data 45W/40E/70N/30N • Even more rapidly available, but smaller area & only NOAA16/NOAA17 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

  9. Impact of EARS and Lannion data in addition to Bracknell data (rms/bias wrt radiosondes) Temperature @ 250 hPa forecast range (hour)  12 36 48 BracknellBracknell+EARS+Lannion First step: assimilation in operational model ARPEGE Next step: assimilation in regional model ALADIN (… AROME) in research mode AMSUA, HIRS, AMSUB (observation density, bias correction, …)

  10. Research experiments with HIRS • On top of AMSUA data over 23 Dec 2002 – 12 Jan 2003 • 250 km thinning (as for AMSUA) • Cloud contamination test with channel 8 • rejection if x < obs-guess < y, (x,y)=f(latitude) water vapour channels 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

  11. Forecast scores (rms & bias) over Europewith HIRSwithout HIRS scores computed wrt own analysis 24 hour 48 hour 72 hour forecast range  geopotential temperature wind rel. humidity

  12. Results of last experiments with HIRS • Occurrence of « ringing » problem in stratosphere this summer • channels 5, 6, 7, 14, 15 blacklisted over seaice • channels 4 & 15 (tail up to 1hPa) to be blacklisted ? • only channels 11 & 12 to be assimilated ? • Cloud contamination test to be revised ? • First guess check to be revised ? (obs-guess)2 <(o2+b2) … under investigation … 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

  13. Assimilation of Meteosat data Use of BUFR winds produced by EUMETSAT with a quality index and disseminated every 90 minutes compared to Use of currently operational SATOB winds produced every 6 hours … as a preparation towards the use of other geostationary satellite data (GOES, etc.)… 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

  14. Assimilation of Meteosat data • Experiments with the uniform ARPEGE configuration • 23 Dec 2002 - 12 Jan 2003 • SATOB winds • Only data with QI>0.8 are transmitted • BUFR winds conditional use • Weak constraint: QI>0.6 for upper level winds and over sea for mid-level winds • Strong constraint: QI>0.8-0.9 elsewhere as a function of latitude, level, channel Vis/IR/mw 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

  15. Meteosat 5&7 observation fit to first guess and analysisarea=50N/50S/113E/50W Used U component • BUFR versus SATOB • more data used • rms and bias reduction Used V component

  16. Present time, near/next future … for satellite observations… • Tuning of AMSUA data: density, rain detection • HIRS use, cloud detection, obs error tuning, blacklist • ATOVS bias correction wrt analysis (?) • Assimilation of BUFR winds on going • AIRS: screening, bias correction already performed, first assimilation experiments on going Next future: AMSUB, SeaWinds, MSG, MODIS, SSM/I(S) 25thEWGLAM/10thSRNWP, Lisbon, Portugal, 6-9 October 2003

More Related