MERIS-(A)ATSR workshop, ESRIN – 28th September 2005 MEDSPIRATION A European Contribution to the...

MERIS-(A)ATSR workshop, ESRIN – 28th September 2005

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 Delivering a new generation of global and multi-sensor high 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)


Medspiration partnership

A European consortium involving major institutions

ESA/DUE

O.Arino

Medspiration consortium

Project managementIan S.Robinson (Manager), SOC - J.F.Piollé (Deputy), IFREMER

core memberssystem design, implementation, operations

L2P productP.Le Borgne, Météo-France

L4 productG.Larnicol, CLS

support

Project management/qualityJ. Rickards, Vega

Expertising (L4 product)L.Santori, B.Bonjourno, CNR

Test users

Archive, dissemination,MDB and L4 processingJ.F.Piollé, IFREMER

HR-DDSD.J.Poulter

L2P, L4 productsL.Santori, B.Bonjourno, CNR

L2P productsS.Eastwood, MetNo

L2P processing softwareA.Coat, Avelmor


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 :

Direct observations (L2P)

Gap free high resolution maps (L4)

Match-up database (MDB)

High-resolution diagnostic datasets


IR radiometers Polar orbiting and

geostationnary satellites Skin SST (10-20 µm) Cloud, aerosol contamination Affected by diurnal cycle

(warming) High resolution (10km > 1km)

Satellites/sensors considered within Medspiration

MSG/SEVIRIENVISAT/AATSR

NOAA16&17/AVHRR

AQUA/AMSR-E

TRMM/TMI


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

Satellites considered within Medspiration

MSG/SEVIRIENVISAT/AATSR

NOAA16&17/AVHRR

AQUA/AMSR-E

TRMM/TMI


sensor error bias and rms

proximity confidence valueconfidence flag

distance to climatorejection flag

Assembling the L2P products

Collect L2 files at various providers

Format homogenization (netcdf)

Time & geolocation homogeneization

Map ancillary data

Quality control

Calculate confidence

Assign sensor error bias and rms

other infotime-geolocation

sea-surface temperatureL2

product

SSI

surface solar irradiance icesea-ice fraction

AOD

aerosol optical depth

wind

wind speed

L2P product

time-geolocation sea-surface temperature


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) !!

product provider Resolution Volume/day

ATS_NR_2P ESA 1 km 3.6 Gb

AVHRR16/17-G PO.DAAC 9 km 84 Mb

SEVIRI SAF O&SI 10 km 470.4 Mb

AMSRE REMSS 25 km 25.2 Mb

TMI REMSS 25 km 18.9 Mb

product provider Resolution Volume/day

AVHRR16/17-L PO.DAAC 1-2 km 75.6 Mb

NAR16/17 SAF O&SI 1-2 km 336 Mb

Soon extended to global coverage (October)


L4 product

Objective : high resolution gap free maps of SST fundationRemoving 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)


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


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

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

colocation process

MDB records

L2P and L4 products


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.

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.


System architecture

optimal interpolation DV correction

Product consolidation

colocation

Users

in situ data

GDAC

L2P

L2

ancillary dataancillary data

UHR/L4

internet

L2

Extern data centersarchivingsystem

MMR MDBL2P

MDB records

MMR-FR

L2P

L2P, UHR/L4

HR-DDS extraction

HR-DDS

internet


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


Online access

Medspiration web site http://www.medspiration.org User help desk : [email protected] ([email protected])

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


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


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


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,…

MERIS-(A)ATSR workshop, ESRIN – 28th September 2005 MEDSPIRATION A European Contribution to the...

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