1. L2P and L3 SST data produced by EUMETSAT/OSI SAF and EC/MyOcean
P. Le Borgne, G. Legendre, A.Marsouin, F.Orain and H. Roquet
Météo-France/DP/CMS, Lannion, France

2. L1 to L4 L1: BTs L2P: SST in swath proj. L3P: Remapped L2P OSI-SAF
L3: Synthesis of foundation SST
MyOcean
L4: Analyzed SST (see E. Autret’s talk)

3. L2P from EUMETSAT/OSI-SAF
Full resolution (1km) METOP SST granules are the only OSI-SAF L2P
Example of METOP SST 3 minute granule on the 23/05/2009 at 1710 UTC

4. L2P from EUMETSAT/OSI-SAF
Full resolution L2P over the globe:
-Volume is quite large!
-Which granules cover my area of interest?
Solutions?
Fine resolution predefined zones?
Naiad ( ) developed by IFREMER

5. L3P from EUMETSAT/OSI-SAF (LEOS)

6. L3P from EUMETSAT/OSI-SAF (GEOS)
2010:
Hourly from 15 min. data
At present:
3hourly from hourly data

7. MetOP SST validation results see www.osi-saf.org
April 2009 With buoy measurements (in NRT available through

8. MetOP SST validation results
April 2009 Against AATSR SST

9. SEVIRI SST validation results see www.osi-saf.org
LeBorgne et al, Ocean Sciences,Orlando 2008

10. L2P/L3P: Ongoing developments
Algorithm issues
Origin of the regional biases
Practical operational solutions
2 regions under investigations:
Equatorial Atlantic (SEVIRI)
Arctic Ocean (METOP)
New GEOS processing chain
Cycle
Fronts
sdi

11. Avg obs.
Error
over 20 days

12. Avg sim.
Error
(ECMWF+
RTTOV)

13. Obs-sim
error

14. L3 in MyOcean MyOcean in brief: EC funded: 2009-2012
V0: April 2009-Oct. 2010
V1: Oct March 2012
Partners in SST: met.no, DMI, NOC,Ifremer, UKMO, CNR, MF
L3 in MyOcean:
Europe: L3 per sensor and merged
Global: L3 merged from ODYSSEA
L3 added value:
Synthetic (one file per day per sensor)
Remapped (over a regular grid)
Adjusted (to the AATSR)
Foundation SST (DW filtered)

15. L3 over Europe
Foundation
SST for
25th May 2009

16. Is the adjustment efficient?
LeBorgne et al, Ocean Sciences,Orlando 2008

17. Is the adjustment efficient?
LeBorgne et al, Ocean Sciences,Orlando 2008
After adjustment to the AATSR data: Better agreement with buoy measurements

18. L3 issues Filtering the DW contaminated data: Need of a NRT DW map
Adjusting SSTs to a reference sensor:
AATSR
Alternatives

19. Conclusions Summary of issues:
Practical : global high resolution?
Algorithms: eliminating regional biases
Methodology: inter sensor bias understanding and correction
Building a cooperative effort at European level:
European Reseach Network for Satellite SST: ERNESST

20. NAIAD Applications
Naiad: DT analysis + ASCAT winds