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Digital Earth Communities GEOSS Interoperability for Weather Ocean and Water GEOSS Common Infrastructure Evolution EC Grant Agreement no. 282915 GEO-IX.

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Presentation on theme: "Digital Earth Communities GEOSS Interoperability for Weather Ocean and Water GEOSS Common Infrastructure Evolution EC Grant Agreement no. 282915 GEO-IX."— Presentation transcript:

1 Digital Earth Communities GEOSS Interoperability for Weather Ocean and Water GEOSS Common Infrastructure Evolution EC Grant Agreement no GEO-IX Plenary Main objective: To evolve GEOSS for all stakeholders

2 Digital Earth Communities Main Objectives GEOSS Infrastructure Evolution for all stakeholders (with a particular focus on the WOW SBAs), to: Facilitate discovery, access & use of … Data (with a particular focus on the GEOSS Data Core) Other GEO-resources Allow harmonised access to heterogeneous resources; & Promote & simplify data sharing

3 Digital Earth Communities What: A long-term vision for GEOSS - GCI evolution … …considering feedback from all the stakeholders.____ For whom: For a growing number of user categories: ranging from data providers & data specialists to multidisciplinary scientists & decision makers. How: Via a flexible architecture : with a modular approach, i.e. a set of interoperable component-based GEOSS Infrastructure Evolutions that respond to the community needs enabling different usage patterns: different communities will benefit from the components in different manners, according to their needs and their usual working habits. able to evolve with new components emerging from the technology landscape, however rapidly this is evolving… GEOWOW Vision ooooo GEO-IX Plenary

4 Digital Earth Communities GEOWOW adopts a structured system engineering approach: User requirements from SBAs & across SBAs Approach SIF, IIB Current GCI AIP, StP Thorpex GOOS Technology base: considering prior development efforts (current GCI, Thorpex, GOOS, previous efforts o improve the GCI such as EUROGEOSS, GENESI-DECetc.) & from SBA-systems Constraints & recommendations: from relevant initiatives & standardization bodies (eg. GEO IIB, IEEE, OGC, INSPIRE, GMES, etc)

5 Digital Earth Communities GEOWOW Overview GEO Ministerial 2013: Evolved' architecture properly tested and demonstrated within GEOWOW SBA's GEO Ministerial 2013: Evolved' architecture properly tested and demonstrated within GEOWOW SBA's

6 Digital Earth Communities GEOWOW Overview

7 Digital Earth Communities Components for Enhancing Data Discovery and Access [Brokering Framework Evolutions] including result ranking and semantic-enriched search Resources Registration facilitators to improve the GEOSS Data CORE availability [Resources Registration Widget] Geoprocessing components [Developer Sandbox, Cloud Controller] Components for enabling community specific clients to access GEOSS resources [Data Cleansing Tool] Preliminary identified components

8 Digital Earth Communities The GEOWOW proposed evolutions are being prototyped via Showcases. The following are examples: #Coral Reefs – A new concept of operation for elaborating environmental indicators. Showcases #River Discharge - The Water & Weather SBAs are defining a scenario for an additional Showcase for prototyping additional components #Droughts - Easy discovery & use of GEOSS resources for addressing multidisciplinary challenges related to drought scenarios

9 THEME[ENV ]: Inter-operable integration of shared Earth Observation in the Global Context Duration: Sept. 1, 2011 – Aug. 31, 2014 Total EC funding: 6,399, Project Web Site: EC Grant Agreement no GEOSS interoperability for Weather, Ocean and Water Weather, Ocean and Water S. Grimes S. Grimes, A. Fischer P. Gonçalves IOC-UNESCO P. Gonçalves, H. Caumont Terradue J. van Bemmelen, R. Cossu, E. Li Santi ESA Showcase Developing environmental indicators: ocean ecosystems GEO IX Plenary Foz de Iguacu, November 2012

10 Digital Earth Communities Show-Case Introduction - WP6 objective: 'to support research & development of marine assessments, through availability of information from ocean data, combined with model data to feed decision-support systems. –Goal: to simplify complex natural system and human system interactions into indicators useful for scenarios, identification of decision points, & development of policy and management –Science Indicators Assessment for policy Multidisciplinary (natural and social) science expert group helps in identification of available global data sets, model outputs, & to develops methodologies for combining them into indicators/maps 22/11/201210GEO - IX

11 Digital Earth Communities Value to Stakeholders? More flexible development environment; More up-to-date & more focused indicators for ocean ecosystems; Better inform policy & management strategy, as well as to raise attention on importance of monitoring; Provide services for implementing extension points towards GEOSS capability Various Stakeholders: decision-makers, developers of ocean assessments, ocean scientists & value adding companies. 22/11/201211GEO - IX

12 Digital Earth Communities Coral Reefs – Threats from Local Activity (2011) Coral ecosystem services: food, income, habitat for commercially viable fish species, tourism, shoreline protection Corals at risk from both local stressors (over-/destructive fishing, coastal development, watershed and marine-based pollution) & climate change & variability (temperature stress, ocean acidification, fast sea level rise) Local stressors: blue-low, yellow-medium, red-high

13 Digital Earth Communities GEOWOW 1st General Assembly 2030s 2050s

14 Digital Earth Communities Scenario 22/11/201214GEO - IX

15 Digital Earth Communities 20/09/201215mbly Scenario - TASKS Vulnerability of corals to local sea level change is greater than their potential growth rates Regional sea level rise projections vary tremendously Need to combine 1.Ocean ecosystem data: coral reef location & vulnerabilities (WRI) 2.Climate data: sea level rise projections from present out to 50 years (WCRP/CMIP5) – require ensemble calculations Calculations refining indicators PRODUCT: Maps & graphics for policy

16 Digital Earth Communities A Vision For GEOSS Present situation –expert scientific advice identifies the required datasets –discovery: we can look in the GEO portal, but most data required is already known –data usage rights are dealt with each individual provider if there are restrictions –downloads of individual datasets to local computing (repeatedly in case of evolving indicators) –calculations: on individual datasets, mostly for each needed spatial reference system transforms –heavy algorithm management & chaining for each host workflow & data input –web platforms designed to specific audiences, but live only as long as the project Future GEOSS infrastructure? 16

17 Digital Earth Communities HOW IT WORKS: 1. Cloud Sandbox Provisioning Scientist browses data & services using its Community Portal extensions & selects experiment resources: datasets URLs, development tools Once done, the Community Portal triggers the creation of a complete Virtual Machine (VM): a Cloud Sandbox development environment 1722/11/2012 For an experiment: keystore, user disk, application disk, datasets URL references… into a sandbox Virtual Machine Select from templates Select from templates Ext.

18 Digital Earth Communities HOW IT WORKS: 2. Data & Processor Validation Still from Community Portal, the Scientist instructs the VM Store to boot a managed instance of the newly created developers Sandbox Scientist develops & validates algorithms within its Cloud Sandbox, with access to dataset samples required for application testing 1822/11/2012GEO - IX

19 Digital Earth Communities After validation, Scientist deploys algorithms to a selected Cloud Infrastructure The deployed Processor as a Service accesses complete pools of datasets, runs application intensive computing, & stores processor outputs back to the lab HOW IT WORKS: 3. Cloud Compute Provisioning 19 22/11/2012

20 Digital Earth Communities HOW IT WORKS: 4. Sharing of Scientific Experiments & Results Scientist readily shares its Sandbox VM work (can include GCI registration) with the scientific community for repeatable scientific experiments Data Product results are registered in the GCI, & shared towards decision makers through Community Portals 22/11/2012 GCI registration Ext.

21 Digital Earth Communities Strategic Plan Establish multi-tenant, multi- provider cloud infrastructure Identify and adopt policies for trust, security and privacy Create governance structure Define funding schemes Strategic Plan Establish multi-tenant, multi- provider cloud infrastructure Identify and adopt policies for trust, security and privacy Create governance structure Define funding schemes To support the computing capacity needs for the ATLAS experiment Setting up a new service to simplify analysis of large genomes, for a deeper insight into evolution and biodiversity To create an Earth Observation platform, focusing on earthquake and volcano research A European cloud computing partnership: big science teams up with big business

22 Digital Earth Communities Example: the ESA SSEP Flagship a carefully maturing process GEOHazards SuperSites –Web hosting (content delivery network), data uploads, web pages dedicated to Disasters events & EO resources –http://supersites.earthobservations.orghttp://supersites.earthobservations.org Virtual Archive 4 - ESA SSEP Flagship Phase 1 –Cloud deployment, Dropbox with automated indexing, catalog search with time & spatial parameters for EO resources, on-demand processing –http://eo-virtual-archive4.esa.inthttp://eo-virtual-archive4.esa.int 2012 – CIOP – ESA SSEP Flagship Phase 2 –Scientists Sandbox service with automated Cloud deployment for tailored on-demand processing services (Platform as a Service) 2222/11/2012GEO - IX

23 Digital Earth Communities Showcase Components interactions

24 Digital Earth Communities a vision for GEOSS Present situation –expert scientific advice identifies the required datasets –discovery: we can look in the GEO portal, but most data required is already known –data usage rights are dealt with each individual provider if there are restrictions –downloads of individual datasets to local computing (repeatedly in case of evolving indicators) –calculations: on individual datasets, mostly for each needed spatial reference system transforms –heavy algorithm management & chaining for each host workflow & data input –web platforms designed to specific audiences, but live only as long as the project Future GEOSS infrastructure? –expert scientific advice identifies the required datasets –assembly: needed datasets are assembled on demand into the GEOSS infrastructure (into a cloud?) –data usage rights are globally registered for scientific use of cloud computing infrastructures –data as a service can live & remain in the cloud, for the application of algorithms and calculation of indicators –calculations: modular infrastructure components allow the exchange and reuse of scientists workspaces –repeatable environments allow for easy updates (in time or with new concepts) & scientific sharing –interactive live web platform output maps & graphics readily part of the GCI: a legacy for other users 24

25 Digital Earth Communities Benefits for generic scenarios A specific example that can be generalized, eg : –adding projections of ocean acidification –combining sea level projections & detailed human population projections for indicators of vulnerability –mapping human impact (climate, fishing) on ocean biodiversity concentration to identify hotspots –addressing indicators of good environmental status under the EU Marine Strategy Framework Directive –creating indicators of water scarcity & human dependence from hydrological & social data Temporary infrastructure needed; no need to maintain daily computing infrastructure & sharing results and tools with the wider GEOSS community 22/11/201225GEO - IX

26 Digital Earth Communities An exciting future! The coral reef scenario presents a real demonstration of: –Easily producing relevant & accurate assessment indicators for use by policy makers; –Using completely scalable cloud computing to process extensive algorithms; –Setting up a domain for repeatable calculations; & –Using the latest computing technology to assist ocean management decisions. The methods can be translated easily to other ocean & earth science contexts to improve environmental management decisions & ultimately, sustainable development. 22/11/201226GEO - IX

27 THEME[ENV ]: Inter-operable integration of shared Earth Observation in the Global Context Duration: Sept. 1, 2011 – Aug. 31, 2014 Total EC funding: 6,399, Project Web Site: EC Grant Agreement no GEOSS interoperability for Weather, Ocean and Water Weather, Ocean and Water Showcase Elaborating environmental indicators: ocean ecosystems GEO IX Plenary Foz de Iguazu, November 2012

28 Digital Earth Communities Science to Indicators via GEOSS extensions Science Indicators Assessment for policy –Multidisciplinary (natural and social) science expert group helps in identification of available global data sets, model outputs, & to develops methodologies for combining them into indicators/maps –Indicators highlight a particular problem Can use data discovery & access tools that are presently in the GEOSS Common Infrastructure (GCI), but requires new capabilities & tools to be developed – how many of these can be part of the GEOSS infrastructure? 22/11/201228GEO - IX

29 Digital Earth Communities Scenario Specific Example – Climate & Corals Coral ecosystem services: food, income, habitat for commercially viable fish species, tourism, shoreline protection Corals at risk from both local stressors (over-/destructive fishing, coastal development, watershed and marine-based pollution) & climate change & variability (temperature stress, ocean acidification, fast sea level rise) Local stressors: blue-low, yellow-medium, red-high 22/11/201229GEO - IX


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