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THEME[ENV.2011.4.1.3-1]: Inter- operable integration of shared Earth Observation in the Global Context Duration: Sept. 1, 2011 – Aug. 31, 2014 Total EC funding: 6,399,098.00 € Project Web Site: www.geowow.eu EC Grant Agreement no. 282915 GEOSS interoperability for Weather, Ocean and Water Roberto Cossu ESA [email protected] Hervé Caumont Terradue [email protected] Project overview and new achievements for GEOSS GEO-X January 14 th , 2014

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

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Project o verview and new achievements for GEOSS GEO-X January 14 th , 2014. Roberto Cossu ESA [email protected] Hervé Caumont Terradue h [email protected]. GEOWOW Vision ooooo. A long-term vision for GEOSS - GCI evolution … - PowerPoint PPT Presentation

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Page 1: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

THEME[ENV.2011.4.1.3-1]: Inter-operable integration of shared Earth Observation in the

Global ContextDuration: Sept. 1, 2011 – Aug. 31, 2014

Total EC funding: 6,399,098.00 €Project Web Site: www.geowow.eu

EC Grant Agreement no. 282915

GEOSS interoperability for Weather, Ocean and Water

Roberto CossuESA

[email protected]

Hervé CaumontTerradue

[email protected]

Project overview and new achievements for GEOSS

GEO-XJanuary 14th, 2014

Page 2: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth Communities

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

GEOWOW Vision ooooo

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Page 3: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth Communities

A vision for GEOSS

• Present situation– expert scientific advice identifies

the required datasets– discovery: from the GWP the

datasets of interest

– downloads of 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 algorithms and calculation of indicators

– repeatable environments allow for easy updates (in time or with new concepts) & scientific sharing

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Page 4: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth Communities

• Components for Enhancing data discovery and access [Brokering Framework Evolutions] including result ranking and semantic-enriched search

• Components for Developing Enablers* [Developer Cloud Sandbox, Cloud Controller], for the development of geo-processing components that can interface HPC resources

*Enablers are customizable according to community-specific characteristics

GEOWOW components/enablers

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Page 5: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth Communities

Think to … …. a sandbox in a playground where children can play with bucket and spade to build a castle

Cloud Sandbox main concept

A developer’s cloud sandbox includes also interfaces to Cloud services enabling data intensive analysis

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

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Page 6: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth Communities

Access to and sharing of the sandbox service

Developer Cloud Sandbox service

The scientist can access in a secure way the sandbox service and code a

specific algorithm

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).

The sandbox environment is sharable among trusted

communities for e-collaborationOnce the algorithm is

“consolidated” it can be shared with the wider GEOSS community as a SaaS e.g. through the WPS interface

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Page 7: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth Communities

Developer Cloud Sandboxes - Achievements

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Page 8: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth CommunitiesCatalyzing resources

Support researchers to compute indicators for policy makersFeed 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 dataDevelopment of new applications leveraging innovative uses of earth observations

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Page 9: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth CommunitiesCapacity Building

Ability to leverage ESGF’s CMIP5 Climate projections data, slice it and process itSupport reproducibility of scientific experiments & open science

Explore and visualize ECMWF data from integrated Cloud appliancesImprove 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 stratosphereTowards integration of Earth Explorers missions: catalogs & processors on Cloud Sandboxes

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Page 10: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth CommunitiesData 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 Intercomparison Project Phase 5 (CMIP5) data

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Page 11: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth Communities

USER PERSPECTIVESESA’s experience using the sandbox

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Page 12: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth CommunitiesSandbox Experiments @ESA

VEGetation ANalysis through MERIS time series

Cryosat-2 analysis in preparation to Sentinel-3

SCIAMACHY mission reprocessing for mesospheric Sodium analysis

Algorithm implementation, testing and evolution

Use of cloud computing for massive data processing

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Page 13: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth Communities

#1: Vegetation analysis through MERIS time series

• 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

R libraries

For an easy access to data, metadata and workflow management

Exploring Large Earth Observation Temporal Series for Land Change Events Detection

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Page 14: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth Communities

• 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:

#2: Cryosat showcase

• 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

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Page 15: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth Communities#3: Sciamachy Showcase

• 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.

Retrieval of Mesospheric Sodium densities from SCIAMACHY daytime limb spectral

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Page 16: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth Communities

PERSPECTIVESDeveloper Cloud Sandboxes – What’s next

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Page 17: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

Digital Earth CommunitiesComing next

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

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Page 18: Roberto  Cossu ESA roberto.cossu@esat Hervé  Caumont Terradue h erveumont@terradue

THEME[ENV.2011.4.1.3-1]: Inter-operable integration of shared Earth Observation in the

Global ContextDuration: Sept. 1, 2011 – Aug. 31, 2014

Total EC funding: 6,399,098.00 €Project Web Site: www.geowow.eu

EC Grant Agreement no. 282915

GEOSS interoperability for Weather, Ocean and Water

Project overview and new achievements for GEOSS

GEO X PlenaryGeneva, 14 January 2014