REASoN Project to link NASA's data, modeling and systems to users in research, education and applications Application of NASA ESE Data and Tools to Air Quality Management - PowerPoint PPT Presentation

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REASoN Project to link NASA's data, modeling and systems to users in research, education and applications Application of NASA ESE Data and Tools to Air Quality Management

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Title: REASoN Project to link NASA's data, modeling and systems to users in research, education and applications Application of NASA ESE Data and Tools to Air Quality Management


1
REASoN Project to link NASA's data, modeling and
systems to users in research, education and
applications Application of NASA ESE Data
and ToolstoAir Quality Management Rudolf
Husar and Stefan Falke (Co-PIs)Washington
University in St. Louis Project Period Nov 04
Oct 09 
  • NASA Applied Sciences Program Air Quality Team
    Meeting
  • October 27-30, Washington, DC

2
  • Background/summary material, DataFed, etc.

3
Project Phases
  • Technology Development
  • DataFed development
  • Architecture development
  • Use of web technologies to build online tools for
    air quality data analysis and decision making
  • Technology Application
  • DataFed Workshops
  • Technology Infusion
  • Community building within broader context of
    interoperability and GEOSS

4
Federation of Earth Science Information Partners
(ESIP)
REASoN program included requirement for at least
0.25 FTE participate in activities like ESIP and
the NASA Earth Science Data Systems Work Group
(ESDSWG) An air quality focus group met during
the 2005 ESIP Winter Meeting to discuss how ESIP
might play a role in advancing the use of earth
science data in air quality management. Interest
is high within ESIP and air quality is
recommended as a new ESIP Air Quality Cluster
data
tools,methods,services
users
aids in reuse of data, processing tools and other
services so that projects, programs and agencies
avoid the end-to-end burden of developing those
capabilities or having to create the connections
themselves.
a)
brings together groups and helps build links
among them in order to achieve an effective use
of data in decision-making that could not be
achieved by any organization acting on its own.
data
tools,methods,services
users
b)
. . .
c)
5
ESIP Air Quality Cluster / Workgroup
TimelineOrganic Growth and Evolution
Jan 2005 ESIP AQ Cluster initiated Mar 2005
ESIP AQ Cluster straw man created Spring 2005
straw man promotion tour to NASA, EPA Jun 2005
ESIP summer meeting straw man refined Jan
2006 ESIP winter meeting wiki created Jul 2006
ESIP summer meeting project info exchange Jan
2007 ESIP winter meeting project info exchange
Jul 2007 ESIP summer meeting group desire to
create interoperable AQ community network Aug
2007 Cluster telecons started Nov 2007
ESIP-EPA-NASA NOx Workshop Jan 2008 ESIP winter
meeting Feb 2008 Support to EPA Data Summit Apr
2008 EPA Community AQ Data System on ESIP
wiki May 2008 AQ Scenario for GEOSS
AIP Sep2008-May2009 GEOSS Arch. Implementation
Pilot Oct 2008 Becomes the ESIP AQ Workgroup Jan
2009 ESIP winter meeting Jun 2009 Coordinated GEO
Decision Support Proposal (with India) Jul 2009
ESIP summer meeting The Santa Barbara AQ
meeting Jul 2009 Movement toward GEOSS CoP Nov
2009 GEO-VI AQ side meeting Jan 2010 ESIP winter
meeting (Washington, DC)
AQ Workgroup Workspace (wiki)
and archive
http//wiki.esipfed.org/index.php/Air_Quality_Clus
ter
6
  • GEOSS CoP

7
Data and Metadata Flow
GEOSS Clearinghouse
Workspace for Data Stakeholders DataSpaces
Extended Structured Metadata ISO 19115
Core Discovery Metadata/Machine Metadata OGC
WS Capabilities
User
Provider
Metadata for Finding and Accessing Data
OGC CSW Queryable
Air Quality Specific
OGC CSW Returnable
Data Binding
ISO 19115CSW Profile
Metadata Description
8
Core Discovery Metadata
  • Service Name
  • Service Description
  • Service Type
  • Spatial Extent
  • Temporal Extent

Metadata for Finding and Accessing Data
OGC CSW Queryable
Air Quality Specific
OGC CSW Returnable
Data Binding
ISO 19115CSW Profile
Metadata Description
9
Extending Structured Metadata
  • Discovery metadata is not enough.
  • Metadata should be independently understandable
    without the aid of experts
  • Metadata should provide information specific to
    AQ users

Metadata for Finding and Accessing Data
OGC CSW Queryable
Air Quality Specific
OGC CSW Returnable
Data Binding
ISO 19115CSW Profile
Metadata Description
10
Refined Search for AQ Data in uFIND
GEOSS Clearinghouse
Coarse Filter
AQ uFIND
Refined Search
Provider
Community Portal
AQ Community Portal
11
DataSpaces
  • DataSpaces further extend the structured metadata
    by enabling the stakeholder communinty to
  • Contribute additional, flexible metadata
  • Discuss dataset
  • Collect distributed, dataset-related resources
  • Connect the structured metadata to community
    content
  • DataSpaces are workspaces designed to capture the
    critical community knowledge about the dataset.

12
Airnow DataSpace
Dataset Description
Dataset Discussion
13
Development of AQ Community w.r.t GEOSS
Architecture
Find AQ data
Get Capabilities
AQ WMS
GetCap To ISO
Web Apps
Evolving AQ Architecture
ISO
14
How you can contribute and benefit
  • Community Building
  • Share your interests and project contributions
    (like this meeting)
  • Use ESIP for advancing your project objectives
    (e.g., built-in testers, workshops, users)
  • Make community relevant to your objectives, bring
    others (data providers, analysts, modelers,
    decision makers, etc.) into the community
  • Help define the GEOSS Community of Practice
  • Enhance the Information Infrastructure
  • Become a node on the air quality
    interoperability network
  • Learn best practices in implementing standards
    for sharing your project data and tools
  • Participate in (and influence) the GEOSS
    Architecture Implementation Pilot
  • Use the AQ Community Information Architecture
    (register your services in GEOSS, find
    information resources useful for your project)
  • Participate in the development of air quality
    information networks
  • Collaborate on AQ Science and Research Projects
  • Define projects that cut across multiple
    organizations focused on advancing our
    understanding of particular aspects of AQ science
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