GEOSS Interoperability for Weather Ocean and Water

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Presentation transcript:

GEOSS Interoperability for Weather Ocean and Water Main objective: To evolve GEOSS for all stakeholders GEOSS Common Infrastructure Evolution EC Grant Agreement no. 282915 GEO-IX Plenary

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

GEOWOW Vision ooooo 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… GEO-IX Plenary 3

Approach GEOWOW adopts a structured system engineering approach: User requirements from SBAs & across SBAs 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) SIF, IIB 4

GEOWOW Overview GEO Ministerial 2013: ‘Evolved' architecture properly tested and demonstrated within GEOWOW SBA's

GEOWOW Overview

Preliminary identified components 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] 7

Showcases The GEOWOW proposed evolutions are being prototyped via Showcases. The following are examples: #Coral Reefs – A new concept of operation for elaborating environmental indicators. #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 8

Showcase GEO IX Plenary Developing environmental indicators: ocean ecosystems GEO IX Plenary Foz de Iguacu, November 2012 S. Grimes, A. Fischer IOC-UNESCO P. Gonçalves, H. Caumont Terradue J. van Bemmelen, R. Cossu, E. Li Santi ESA

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 “A new concept of operation for elaborating environmental indicators” with specific application to ocean assessment 22/11/2012 GEO - IX

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. For developers of ocean assessment; 2. For decision makers Ecosystem SBA; 3. For ocean scientists; and 4. For Value-Adding Companies. 22/11/2012 GEO - IX

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

GEOWOW 1st General Assembly

Scenario Corals vulnerable to local sea level change greater than potential growth rates Regional sea level rise projections vary tremendously Need to combine Ocean ecosystem data: coral reef location and vulnerabilities (WRI) Climate data: sea level rise projections from present out to 50 years (WCRP/CMIP5) – require ensemble calculations [could also build on existing indicators on human dependence on coral ecosystems: economic, livelihoods, food] Calculations testing indicators Maps and graphics as high-level output for policy 22/11/2012 GEO - IX

Scenario - TASKS PRODUCT: Maps & graphics for policy 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 Ocean ecosystem data: coral reef location & vulnerabilities (WRI) 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 20/09/2012 mbly

A Vision For GEOSS Present situation Future GEOSS infrastructure? 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? [simplify the words – this is a complex slide to explain but important to show how we want to move into the future] [should Pedro talk to this slide?]

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 For an experiment: keystore, user disk, application disk, datasets URL references… into a sandbox Virtual Machine Select from templates Ext. Ext. Select from templates 22/11/2012

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 developer’s Sandbox Scientist develops & validates algorithms within its Cloud Sandbox, with access to dataset samples required for application testing 22/11/2012 GEO - IX

HOW IT WORKS: 3. Cloud Compute Provisioning 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 22/11/2012

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 Ext. GCI registration 22/11/2012

To support the computing capacity needs for the ATLAS experiment A European cloud computing partnership: big science teams up with big business 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

Example: the ESA SSEP Flagship a carefully maturing process 2008 - GEOHazards SuperSites Web hosting (content delivery network), data uploads, web pages dedicated to Disasters events & EO resources http://supersites.earthobservations.org 2010 - 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.int 2012 – CIOP – ESA SSEP Flagship Phase 2 Scientist’s Sandbox service with automated Cloud deployment for tailored on-demand processing services (Platform as a Service) [Is this slide needed? Can it be simplified?] 22/11/2012 GEO - IX

Showcase Components’ interactions

a vision for GEOSS Present situation Future GEOSS infrastructure? 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 scientist’s 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 [simplify the words – this is a complex slide to explain but important to show how we want to move into the future] [should Pedro talk to this slide?]

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 [Simplify this slide by replacing words with pictures of other examples for the assessment] It requires all EU countries to develop indicators and report on good marine envt status…. (11 criteria for good env status). Generated a lot of ocean obs effort. 22/11/2012 GEO - IX

sustainable development. 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. [don’t need this at all probably] 22/11/2012 GEO - IX

Thank You! Showcase GEO IX Plenary Elaborating environmental indicators: ocean ecosystems GEO IX Plenary Foz de Iguazu, November 2012 Thank You! [Need an overarching statement of the purpose and the benefit 27

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? Extra Notes: GEF Transboundary Waters Assessment Programme (TWAP) IOC-UNESCO leads ocean components (UNESCO/IHP also leads groundwater component) 2013-2014: to inform GEF Strategy in International Waters – addressing global environmental issues and national sustainable development complementary to GEOWOW as a strong customer of ocean ecosystem-related information mapping and indicators assessment component, informed by expert group expert assessment component – high uncertainty, governance climate/impacts, ocean ecosystems, fisheries, pollution 22/11/2012 GEO - IX

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 22/11/2012 GEO - IX