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Roberto Cossu ESA roberto.cossu@esat Hervé Caumont Terradue h erveumont@terradue

Project o verview and new achievements for GEOSS GEO-X January 14 th , 2014. Roberto Cossu ESA roberto.cossu@esa.int Hervé Caumont Terradue h erve.caumont@terradue.com. GEOWOW Vision ooooo. A long-term vision for GEOSS - GCI evolution …

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Roberto Cossu ESA roberto.cossu@esat Hervé Caumont Terradue h erveumont@terradue

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  1. Project overview and new achievements for GEOSS GEO-XJanuary 14th, 2014 Roberto Cossu ESA roberto.cossu@esa.int Hervé Caumont Terradue herve.caumont@terradue.com

  2. GEOWOW Vision ooooo • A long-term vision for GEOSS - GCI evolution… • …considering feedback from all the stakeholders___ • More user categories • data providers, data specialists, multidisciplinary scientists, decision makers • More flexible architecture • community components, resource enablers, innovation opportunities

  3. A vision for GEOSS • Present situation • expert scientific advice identifies the required datasets • discovery: from the GWP the datasets of interest • downloadsof individual datasets to local computing • heavy algorithm management & chaining for each host workflow & data input • Future GEOSS operations ? • expert scientific advice identifies the required datasets • assembly: needed datasets are assembled on demand into the GEOSS infrastructure (into a cloud?) • data as a service can live & remain ‘in the cloud’, for the application of algorithmsand calculation of indicators • repeatable environments allow for easy updates (in time or with new concepts) & scientific sharing

  4. GEOWOW components/enablers • Components for Enhancing data discovery and access [Brokering Framework Evolutions] including result ranking and semantic-enriched search • Components for Developing Enablers* [Developer CloudSandbox, Cloud Controller],for the development of geo-processingcomponents that can interface HPC resources • *Enablers are customizable according to community-specific characteristics

  5. Cloud Sandbox main concept • Think to … • …. a sandbox in a playground where children can play with bucket and spade to build a castle • A virtual work environment in GEOSS where scientists can use dedicated tools to build/test and run new models/algorithms, with the ability to retry and modify • A developer’s cloud sandbox includes also interfaces to Cloud services enabling data intensive analysis

  6. Access to and sharing of the sandbox service The scientist can manage the sandbox service through a simple interface, e.g., defining input parameters, triggering the algorithm execution, monitoring the processing status Community-specific clients are able to easily communicate input parameters, included input products, and invoke the execution of the algorithm (standard OGC WPS). Developer Cloud Sandbox service The sandbox environment is sharable among trusted communities for e-collaboration Once the algorithm is “consolidated” it can be shared with the wider GEOSS community as a SaaS e.g. through the WPS interface The scientist can access in a secure way the sandbox service and code a specific algorithm

  7. Developer Cloud Sandboxes - Achievements

  8. Catalyzing resources Support researchers to compute indicators for policy makers Feed resources to Computing Clusters to run global & regional marine ecosystems assessments Take-up for future commercial applications (under ad-hoc conditions) Go through research oriented, not for profit, uses of TIGGE-LAM data in order to spread innovation Expand uses of ESA satellites data Development of new applications leveraging innovative uses of earth observations

  9. Capacity Building Ability to leverage ESGF’s CMIP5 Climate projections data, slice it and process it Support reproducibility of scientific experiments & open science Explore and visualize ECMWF data from integrated Cloud appliances Improve accessibility of key TIGGE data for a wide user community and better support ECMWF partner users Experiment with ENVISAT SCIAMACHY, global measuring of trace gases in the troposphere and in the stratosphere Towards integration of Earth Explorers missions: catalogs & processors on Cloud Sandboxes

  10. Data Sharing Ocean Biogeographical Information System (OBIS) Transboundary Waters Assessment Programme (TWAP) indices and indicators TIGGE and TIGGE LAM, THORPEX Interactive Grand Global Ensemble Limited Area Model ERA Re-Analysis archives ESA Missions data (archived and Earth Explorer) Earth System Grid Federation – Model IntercomparisonProject Phase 5 (CMIP5) data

  11. ESA’s experience using the sandbox USER Perspectives

  12. Sandbox Experiments @ESA

  13. #1: Vegetation analysis through MERIS time series • Exploring Large Earth Observation Temporal Series for Land Change Events Detection • Some samples products are copied in the “sandbox” • An SSH connection to the sandbox allow the scientist to implement the algorithm and define a workflow, installing any library of interest in the sandbox, e.g. “R”, MERIS toolboxes etc. • The scientist tests the algorithm on few samples • The scientist runs on the full dataset of interest (thousands of datasets) exploiting Cloud resources if needed For an easy access to data, metadata and workflow management R libraries

  14. #2: Cryosatshowcase • Cryosat mission: three years of observations for climate research • ESA has prepared a Processor Prototype generating: • Radar Echogram • SSH, SLA (W/O SSB), SWH, sigma0, wind speed • The objectives of the experiment using the SANDBOX are: • to experiment in house research themes that will be further exploited in the ESA-funded R&D projects • to provide expert users with consolidated SAR geo-products to get acquainted with the novelties and specificities of SAR Altimetry

  15. #3: SciamachyShowcase Retrieval of Mesospheric Sodium densities from SCIAMACHY daytime limb spectral • The experiments allowed scientists to extent the results analysis obtained from a preliminary analysis (in the temporal frame 2002-2007) to the full archive of SCIAMACHY data (2002-2012) . • This gives the possibility to identify trends. • Furthermore this analysis may allow the possibility to define a new inversion model for more accurate vertical profiles. • Scientists are currently analyzing the obtained results.

  16. Developer Cloud Sandboxes – What’s next Perspectives

  17. Coming next Have a focus on results dissemination: success stories, best practices, online tutorials & demos, and getting some external users on the GEOWOW Platform.

  18. Project overview and new achievements for GEOSS GEO X Plenary Geneva, 14 January 2014 Thank You!

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