L2P and L3 SST data produced by EUMETSAT/OSI SAF and EC/MyOcean

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Presentation transcript:

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

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)

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

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 (http://www.naiad.fr ) developed by IFREMER

L3P from EUMETSAT/OSI-SAF (LEOS)

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

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

MetOP SST validation results April 2009 Against AATSR SST

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

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

Avg obs. Error over 20 days

Avg sim. Error (ECMWF+ RTTOV)

Obs-sim error

L3 in MyOcean MyOcean in brief: EC funded: 2009-2012 V0: April 2009-Oct. 2010 V1: Oct. 2010-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)

L3 over Europe Foundation SST for 25th May 2009

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

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

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

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

NAIAD Applications Naiad: DT analysis + ASCAT winds