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Project background

MEDSPIRATION A European Contribution to the GODAE/GHRSST-PP JF Piollé (IFREMER), Ian Robinson (SOC), Pierre Leborgne (Meteo-France) & al. Project background. The GODAE / GHRSST-PP project

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Project background

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  1. MEDSPIRATION A European Contribution to the GODAE/GHRSST-PPJF Piollé (IFREMER), Ian Robinson (SOC), Pierre Leborgne (Meteo-France) & al

  2. Project background • The GODAE / GHRSST-PP project • Delivering a new generation of global and multi-sensorhigh resolution SST datasets, as defined by the GHRSST Science Team, reflecting a general consensus opinion (format, content, processing) • Distributed approach for the operational production and dissemination of GHRSST data products : Regional Data Assembly Center • Regional areas • Specific sensors • Same processing model => products can be used individually or together with equal confidence • Sponsored by the European Space Agency • Support the GHRSST-PP • Fund the European node for the GHRSST-PP system : Medspiration (invitation to tender issued end of 2003)

  3. ESA/DUEO.Arino Medspiration consortium Project management Ian S.Robinson (Manager), SOC - J.F.Piollé (Deputy), IFREMER core members system design, implementation, operations support Test users L2P productP.Le Borgne, Météo-France Project management/qualityJ. Rickards, Vega Expertising (L4 product)L.Santori, B.Bonjourno, CNR L2P, L4 productsL.Santori, B.Bonjourno, CNR L2P productsS.Eastwood, MetNo Archive, dissemination,MDB and L4 processingJ.F.Piollé, IFREMER L2P processing softwareA.Coat, Avelmor L4 productG.Larnicol, CLS HR-DDS D.J.Poulter Medspiration partnership • A European consortium involving major institutions

  4. Gap free high resolution maps (L4) Direct observations (L2P) High-resolution diagnostic datasets Match-up database (MDB) Requirements of Medspiration • Delivery of real-time high quality SST data, matching the GHRSST-PP model • Operational and sustained production • Generic and scalable system • Products :

  5. MSG/SEVIRI ENVISAT/AATSR NOAA16&17/AVHRR AQUA/AMSR-E TRMM/TMI Satellites/sensors considered within Medspiration • IR radiometers • Polar orbiting and geostationnary satellites • Skin SST (10-20 µm) • Cloud, aerosol contamination • Affected by diurnal cycle (warming) • High resolution (10km > 1km)

  6. MSG/SEVIRI ENVISAT/AATSR NOAA16&17/AVHRR AQUA/AMSR-E TRMM/TMI Satellites considered within Medspiration • MW radiometers • Polar orbiting • Subskin SST (~1 mm) • Rain contamination, no data close to land • Affected by diurnal cycle (warming) • Low resolution (25km) • Poor sampling in some areas

  7. L2 product wind L2P product sea-surface temperature time-geolocation other info sea-surface temperature time-geolocation AOD wind speed aerosol optical depth SSI sea-ice fraction surface solar irradiance ice Assembling the L2P products • Collect L2 files at various providers • Format homogenization (netcdf) • Time & geolocation homogeneization • Map ancillary data rejection flag distance to climato • Quality control confidence flag • Calculate confidence proximity confidence value • Assign sensor error bias and rms sensor error bias and rms

  8. Soon extended to global coverage (October) Generated L2P products • L2P production restricted to Atlantic, initial focus on Mediterranean • !! various sampling patterns depending on the provider (swath, grid, list of valid points) !!

  9. L4 product • Objective : high resolutiongap free maps of SST fundation Removing the diurnal variability : • correction using a model (with respect to the history of the SSI and wind in the day) • Selecting night data Filling the gaps : • Optimal interpolation • Merging sensors (high resolution IR and low resolution MW)

  10. Generated L4 product • Focused area : Mediterranean sea, 2km resolution, daily • But software package easily configurable and scalable => intended to play a key role within Mersea for cooperative work, to cover other regional areas

  11. MDB Records • Rely on CORIOLIS for in situ data collection (incl. drifting buoys and meteo data from GTS) • Single access • Benefit on QC • Daily delivery of new incoming data • Colocation • 6 hours • 25 km • In situ profiles down to 100m • Will feed a centralized Matchup database (GHRSST-PP) • Derivation of single sensor error statistics by GHRSST-PO on a regular basis => bias and rms with respect to the confidence value • MDB database implemented at Ifremer • Web user interface for data extraction soon available colocation process MDB records L2P and L4 products

  12. HR-DDS • High resolution diagnostic datasets • sub scenes for a set of predefined small areas (typically 2° x 2°) from every L2P SST and L4 dataset • extraction and resampling onto a 0.01° grid • HR-DDS sites defined by GHRSST-PP (mooring location,..). • A tool to allow intercomparison of the characteristics of the SST derived from different sensor types, in order to facilitate the research needed to test and improve the data merging methods used in GHRSST-PP.

  13. GDAC MMR L2P MDB Users internet L2P HR-DDS MDB records in situ data archivingsystem HR-DDS extraction Extern data centers MMR-FR L2 colocation internet L2P, UHR/L4 optimal interpolation DV correction Product consolidation L2 L2P UHR/L4 ancillary data System architecture

  14. Product dissemination • Format • All L2P, L4, HR-DDS : netcdf format, complying to GHRSST-PP specifications • MDB records : XML format (on demand) • Timeliness • L2P : delivery in near-real time, at latest day+1, 7:00 • L4 : run each day at 7:00 UTC, required delivery before 12:00 (current mean processing time : 50 min) • HR-DDS, MDB records : daily

  15. Online access • Medspiration web site • http://www.medspiration.org • User help desk : fpaf@ifremer.fr (help@medspiration.org) • Dissemination facilities • FTP push (on demand) • FTP server, last 3 months of data, free access (anonymous login) • ftp://ftp.ifremer.fr/ifremer/medspiration/data • OpenDAP (aka DODS) server • http://www.ifremer.fr/cgi-bin/nph-dods/data/satellite/medspiration • Live Access Server • http://www.ifremer.fr/las(L4 product only) • Web tools • Data and operation status page • HR-DDS browser • L4 validation browser

  16. Project milestones • Implementation phase : 2004 • Operation • Started April 2005, funded until 2007 • System extension • AVHRR-16/17 NAR product > European Area • AATSR global : October 2005 • User consultation • Collect user feedback and requests, assess quality of service • Product format and content • Data quality and accuracy • Delivery, availability issues • User information • Hold every 6 months • 2nd user consultation : 13th December, at IFREMER

  17. Plans • Medspiration phase 2 • Sustained operations until 2007 (current L2Ps and L4) • Around and beyond Medspiration • Building a European Operational Facility for the delivery of SST • New sensors/data • EUMETSAT/SAF O&SI : production of global METOP swath products complying to next GDS format & content specifications • European GDAC [MERSEA]: collect/consolidate worldwide data • New synthesis products (L4 maps) • Atlantic (end 2005) / Global (2006) analysis [MERSEA] • Regional high resolution products • Reprocessing activities • Reprocessing of ERS-1/ERS-2 ATSR to L2P format and content • R&D, Data quality assessment and monitoring • MERSEA R&D activities on diurnal cycle correction, sensor merging, optimal interpolation • Match-up database (IFREMER/CORIOLIS) • serves internal needs, support R&D activities for MERSEA, SMOS,… • take advantages of CORIOLIS and MEDSPIRATION colocation, rely on local competencies in in situ data management and dissemination • implementation starts in June • No funding yet beyond 2007

  18. Conclusion • The major operational service for SST delivery at European scale (with respect to the number of products) • Strong involvement within GHRSST-PP => play a leading role • Quality of service assessed by operational users : UKMet, MetNo, DMI, MERCATOR, CNR/MFSTEP • A basis to meet the MERSEA needs • Scalable system • Operational and sustained service • Takes advantage of the compatibility with « extra-European » RDACs • Allows easy move towards global scale (product consistency) • Provide tools to support MERSEA activities • L4/OI software package • MDB records and HR-DDS => diurnal cycle variability, sensor merging,…

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