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Y.J. Meijer, GECA, II GALION WS, 22-09-2010 ESA’s Generic Environment for Calibration/validation Analysis (GECA) Yasjka Meijer et al. European Space Agency.

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Presentation on theme: "Y.J. Meijer, GECA, II GALION WS, 22-09-2010 ESA’s Generic Environment for Calibration/validation Analysis (GECA) Yasjka Meijer et al. European Space Agency."— Presentation transcript:

1 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 ESA’s Generic Environment for Calibration/validation Analysis (GECA) Yasjka Meijer et al. European Space Agency Frascati, Italy

2 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 GECA GECA – a Generic Environment for Calibration and Validation Analysis 1.GECA Validation data Centre (GVDC) –ESA’s Next Generation Validation Data Centre (extending EVDC @ NILU) 2.Quality Information and Action Protocol: QIAP

3 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 Motivation for GECA, 1/2 Motivation: More and more missions to be validated: –GMES Sentinels –Earth Explorers (e.g., SMOS, Aeolus, EarthCARE) –ESA – Third Party Missions Knowledge transfer from ERS-1&2 and ENVISAT (with decreasing operational budget)  more efficient validation necessary  facilitate independent cal/val activities Longer ESA data records; exploitation for climate science (CCI)  high demand for inter-satellite calibration

4 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 Motivation for GECA, 2/2 Why Generic? –Most Cal/Val activities and needs are generic across multiple EO domains  Efficiency (avoid island solutions with duplications, e.g. aux. data, conversions, overlap calc., analysis tools ) –Use of standard interfaces and metadata standards (GENESI-DR & GEOMS)  Expandability Allowing easy addition of -new correlative data centers -EO satellite data -analysis tools

5 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 GVDC Objectives Harmonise correlative data standards (via Generic EO Metadata Standard (GEOMS)) Access to satellite data centres (via GENESI-DR) Access to correlative data centres (via Data Centre InterOperability (DCIO), OAI-PMH) Support collocation detection (match satellite with correlative dataset) Support intercomparison (tools) Assist correlative data submitters

6 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 GECA server Correlative data - DCIO +? OAI-PMH Harvest catalogue metadata MERIS AATSRRA-2 GOCE SAR GOMOS MIPAS Aeolus Correlative Data Catalogue GENESI-DR Satellite Data Catalogue Collocation tool Collocation Catalogue Use case: Find data Harvest catalogue metadata Catalogue access ESA satellite data

7 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 GECA server Satellite Overpass Catalogue Overpass IPF Data download access Correlative data - DCIO +? MERIS AATSRRA-2 GOCE SAR GOMOS MIPAS Aeolus ESA satellite data Correlative Data Catalogue Satellite Data Catalogue Collocation Catalogue Use case: Get data Agreements will allow downloading from DCIO databases GENESI-DR provide access details to ESA data repositories Data can be used on server or downloaded to the user Child products database Data access

8 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 GECA database server Correlative data - DCIO +? OAI-PMH catalogue metadata Data files MERIS AATSRRA-2 GOCE SAR GOMOS MIPAS Aeolus ESA satellite data – HTTP & direct FTP catalogue metadata tools Data files User 1: collocation info User 2: User 3: paired data files tools local tools comparison reports tools local data GENESI-DR Opportunities: - New tools - New DCIO partner - More satellite data

9 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 GECA sample screen

10 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 GECA tools Intercomparison Toolbox: Based on ‘best practice’ analysis functions Pre-processing functions bringing data into comparable state, e.g., –conversion of paired data to a common format –inclusion of auxiliary data (e.g., meteorological parameters from ECMWF –parameter conversion (e.g., partition wave spectra, air pressure to altitude) –comparison algorithms (e.g., cross associate partitions, area overlap –regridding and smoothing of data

11 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 GECA implementation Implementation: GECA tools will be available online and as toolbox Expandable and open environment;  opportunity to include new missions, domains and tools In cloud-computing environment GECA is foreseen as portlets inside the CEOS Cal/Val Portal: http://calvalportal.ceos.org/cvp/

12 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 GECA project status Critical Design Review (CDR) passed –development started in April 2010 Initial system due in Q4/2010 –mainly for testing Full system due in first half of 2011 –operational for ERS-1/-2, ENVISAT, MODIS –accessible for external users

13 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 Conclusion GECA will offer a generic and comprehensive validation environment with many new functionalities supporting the process of independent validation Subscribe to GECA mailing list with an email to Yasjka.Meijer@esa.int

14 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 Thank you!

15 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 Backup slides

16 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 GECA/GEOMS GEOMS: Generic EO Metadata Standard –GEOMS is a dedicated metadata standard for EO Cal/Val activities –GEOMS has been established in collaboration with AVDC (NASA), EVDC (NILU/ESA), ESA, BIRA and NDACC Focus on atmosphere, now also broadened to other domains –GECA will host data GEOMS (Generic EO Metadata Standard) format

17 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 GECA/DCIO DCIO: Data Centre Interoperability GECA will host correlative datasets of multiple EO domains –Requirement for interoperability between data centres Initiation of DCIO activity –Access to wider range of correlative datasets Current DCIO partners: AVDC, EVDC, NDACC and Earlinet Prototypes are working for exchange of catalogue meta-data Metadata catalogue in GECA will allow data to be visible in peer data centres Opportunity to join DCIO !

18 Y.J. Meijer, GECA, II GALION WS, 22-09-2010 Covered EO domains/instruments Generic System approach covering multiple EO domains: –Atmospheric Physics –Ocean and Coast (waves, colour, SST, etc.) –Terrestrial (Land Cover, LST, vegetation, etc.) –Multi-spectral imagery –Cryosphere (Land and Sea Ice) –Solid Earth (gravity, geoid, etc.)


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