Presentation is loading. Please wait.

Presentation is loading. Please wait.

ESIP Air Quality Jan 2006 1 Air Quality Cluster Air Quality Cluster Technology Track Earth Science Information Partners Partners NASA NOAA EPA (?) USGS.

Published byBarnard Morris Modified over 8 years ago

Similar presentations

Presentation on theme: "ESIP Air Quality Jan 2006 1 Air Quality Cluster Air Quality Cluster Technology Track Earth Science Information Partners Partners NASA NOAA EPA (?) USGS."— Presentation transcript:

1 ESIP Air Quality Jan 2006 1 Air Quality Cluster Air Quality Cluster Technology Track Earth Science Information Partners Partners NASA NOAA EPA (?) USGS DOE NSF Industry… Data Flow & Interoperability in DataFed Service-based AQ Analysis System R. B. Husar, S. R. Falke and K. Höijärvi Washington University, St. Louis, MO ESIP Federation Winter Meeting 2006 Washington, DC, January 4, 2006

2 ESIP Air Quality Jan 2006 2 DataFed in a Nutshell DataFed Vision Aid air quality analysis by effective use of relevant data DataFed Goals Facilitate access and flow of AQ data from provider to users Support user-driven data processing value chains Participate in specific application projects Approach: Mediation Between Users and Data Providers DataFed assumes spontaneous, autonomous data providers Non-intrusively wraps datasets for access by web services Mediates, homogenizes data views. e.g. geo-spatial, time... Applications Browsers and analysis tools for distributed monitoring data Serve as data gateway for user programs; GIS, science tools DataFed is focused on the mediation of air quality data

3 ESIP Air Quality Jan 2006 3 Typical DataFed AQ Analysis Tools ConsolesConsoles: Data from diverse sources are displayed to create a rich context for exploration and analysis CATTCATT: Combined Aerosol Trajectory Tool for the browsing backtrajectories for specified chemical conditions Tool Viewer: Viewer: General purpose spatio-temporal data browser and view editor applicable for all DataFed datasets

4 ESIP Air Quality Jan 2006 4 Web Services: Building Blocks of DataFed Programming Access, Process, Render Data by Service Chaining [Station] [Monitor] Clickable monitor locations layer Map boundary layer

5 ESIP Air Quality Jan 2006 5 Single Data Model for All AQ Data Most Views are slices through a cube of data organized by lat, lon, altitude, and time (X,Y,Z,T) Multidimensional Data Cube

6 ESIP Air Quality Jan 2006 6 OGC Abstract Specification – Coverage (00-106)Coverage (00-106) Abstract Spec.: Coverages model and visualize spatial relationships between, and the spatial distribution of, earth phenomena Coverage subtypes of Air Quality interest are Image, Grid and Discrete Point Has a property (Coverage_Function) that has a spatial domain, and a value set. For Image and Grid, the Coverage_Function is an array…Discrete Point coverage is described by a PointC_Function where the spatial domain consists of a collection of points Observation: The Abstract Spec. foresaw the need for Point Coverage, i.e. fixed monitoring Stations

7 ESIP Air Quality Jan 2006 7 OGC Web Coverage Service (WCS) Specification HTTP GET/POST based interfaces Services have XML service descriptions (“Capabilities”, “Description”) Filter parameters allow selection of subsets of source data Output formats advertised by each service instance OGC WCS getCoverage Schema Suitable for wrapping with SOAP envelope, WSDL access, loose coupling WCS is for "coverages" – information representing space-time-varying phenomena WCS describes, requests and delivers coverages in spatio-temporal domain WCS version 1.1 is limited to grids/"simple” coverages with homogeneous range sets

8 ESIP Air Quality Jan 2006 8 through Data Access through Adapters DataFed SOAP,HTTP Get OGC WCS HTTP Get, Post OGC WMS HTTP Get Station-Point SQL Server, Files… Sequence Image, file nDim Grid OpenDAP NetCDF, … Other Traject., Event, Pic Sources Diverse formats Many data models Data Wrapper Data into geo-cubes Queries to views Virtual Data Cube Global geo-cube data model Makes queries data-neutral Others? e.g. OpenDAP Output Protocol dependent User specified GeoTable CSV,XLS,GML GeoGrid GML,NetCDF.. GeoImage GeoTIFF, PNG.. Other MS Dataset.. Query Adapter Maps query to protocol User selects protocols

9 ESIP Air Quality Jan 2006 9 OGC WCS Demonstration: AirNOW Station DatasetAirNOW Map View Services WCS Query http://webapps.datafed.net/dvoy_services/ogc.wsfl?SERVICE=wc s&REQUEST=GetCoverage&VERSION=1.0.0&CRS=EPSG:432 6&COVERAGE=AIRNOW.pmfine&FORMAT=CSV&BBOX=- 125.3889,22.55111,-61.40667,51.20889,0,0&TIME=2005-06- 26T15:00:00Z&WIDTH=999&HEIGHT=999&DEPTH=999 Formats: CSV, NetCDF-table, etc Time View Services http://webapps.datafed.net/dvoy_services/ogc.wsfl?SERVICE =wcs&REQUEST=GetCoverage&VERSION=1.0.0&CRS=EP SG:4326&COVERAGE=AIRNOW.pmfine&FORMAT=CSV&B BOX=-90.16028,38.61222,- 90.16028,38.61222,0,0&TIME=2005-06-20T00:00:00Z/2005- 06-30T00:00:00Z&WIDTH=999&HEIGHT=999&DEPTH=999 Formats: CSV, NetCDF-table, etc

10 ESIP Air Quality Jan 2006 10 Data Access Services 1. Click Services Button 4. Set Output Format 3. Access Settings 2. Select Data Access Protocol 4. Execute WCS Query in Browser or in Program 5. Consume data by program, service or viewer

11 ESIP Air Quality Jan 2006 11 GALEON Interoperability Experiment GALEON Geo-interface for Atmosphere, Land, Earth, and Ocean netCDF Lead by UNIDATA & OGCUNIDATAOGC Participants: academia, industry, international Unify Earth Science & GIS Data Flows B. Domenico GALEON UNIDATA

12 ESIP Air Quality Jan 2006 12 GALEON: Earth Science – GIS Interoperability Shared Data Model

13 ESIP Air Quality Jan 2006 13 OGC WCS Demonstration: THREDDS_GFS 4Dim DatasetTHREDDS_GFS Lat/Lon Box Elev Range Time Range Map: BBOX=-180,-90,180,90, 1350,1350& TIME=2005-12-06/2005-12-06/PT3H Time: BBOX=-34,49.05,-34,49.05, 1350,1350& TIME=2005-12-05/2005-12-08/PT3H Elev: BBOX=-34,49.05,-34,49.05, 0,18000 & TIME=2005-12-06/2005-12-06/PT3H The form of the WCS query is the same for all slices through the data cube (views) The only difference in the views is the thickness of the slices in each dimension Return grid is in multiple formats (NetCDF, CSV, GML, PNG, … ) Map View Services WCS Query Time View Services WCS Query Elevation View Services WCS Query WCS Query

14 ESIP Air Quality Jan 2006 14 OGC WCS Demonstration: Grid, Image, Station Data Types Coverage=THEEDDS.T& BBOX=-126,24,-65,52,0,0 &TIME=2002-07-07/2002-07-07&FORMAT=NetCDF Coverage=SURF.Bext& BBOX=-126,24,-65,52,0,0 &TIME=2002-07-07/2002-07-07&FORMAT=NetCDF-table Coverage=SEAW.Refl& BBOX=-126,24,-65,52,0,0 &TIME=2002-07-07/2002-07-07&FORMAT=GeoTIFF COVERAGE=sst& BBOX=-126,24,-65,52,0,0 &TIME=2001-01-01,2001-01-01&FORMAT=NetCDF UNIDATA – THREDDS/GALEON WCS THREDDS/GALEON WCS DataFed GALEON WCS U Florence, It GALEON WCS DataFed GALEON WCS Grid Image Station Services WCS Query Services WCS Query Services WCS Query Services WCS Query

15 ESIP Air Quality Jan 2006 15 Benefits of WMS Compatibility: Geospatial One-Stop Provides Access to DataFed spatial layers through WMS Problem: No Time Dim! http://www.datafed.net/DataLinks/OGC/OGC.htm DataFed/VIEWS Asian Dust Concentration (circles) S. Falke

16 ESIP Air Quality Jan 2006 16 Summary OGC WCS protocol is suitable for delivering most air quality data: Suitable for most data view queries BBOX, TIME Station-Point SQL Server, Files… Sequence Image, file nDim Grid OpenDAP NetCDF, … Applicable to most data types Station, Image, Grid For Air Quality data needs: WCS: Add Point coverage to WCS (in addition to grid, polygon) WCS: Strongly typed (XML Schema-verifiable) return data types Testing: Much fixing and testing for server-client compatibility

Download ppt "ESIP Air Quality Jan 2006 1 Air Quality Cluster Air Quality Cluster Technology Track Earth Science Information Partners Partners NASA NOAA EPA (?) USGS."

Similar presentations

WCS Data Exchange at the DataFed Server/Client Center for Air Pollution Impact and Trend Analysis (CAPITA) Washington University, St. Louis, MO OGC TC.

WCS Data Exchange at the DataFed Server/Client Center for Air Pollution Impact and Trend Analysis (CAPITA) Washington University, St. Louis, MO OGC TC.
The Next Generation Network Enabled Weather (NNEW) SWIM Application Asia/Pacific AMHS/SWIM Workshop Chaing Mai, Thailand March 5-7, 2012 Tom McParland,

The Next Generation Network Enabled Weather (NNEW) SWIM Application Asia/Pacific AMHS/SWIM Workshop Chaing Mai, Thailand March 5-7, 2012 Tom McParland,
Web Services Implementation Case Study: DataFed Air Quality Data & Services Project Coordinators: Software Architecture: R. Husar Software Implementation:

Web Services Implementation Case Study: DataFed Air Quality Data & Services Project Coordinators: Software Architecture: R. Husar Software Implementation:
REASoN REASoN Project to link NASA's data, modeling and systems to users in research, education and applications Application of NASA ESE Data and Tools.

REASoN REASoN Project to link NASA's data, modeling and systems to users in research, education and applications Application of NASA ESE Data and Tools.
OGC Demo at IGARSS06 July 30 - Denver, CO Telecon 11 July 2006 Liping Di, George Mason University Rudolf Husar, Washington University.

OGC Demo at IGARSS06 July 30 - Denver, CO Telecon 11 July 2006 Liping Di, George Mason University Rudolf Husar, Washington University.
Virtual Product of Air Quality Demo Scripts Liping Di, Peisheng Zhao Center for Spatial Information Science and Systems (CSISS) George Mason University.

Virtual Product of Air Quality Demo Scripts Liping Di, Peisheng Zhao Center for Spatial Information Science and Systems (CSISS) George Mason University.
Web 2.0 in Air Quality Analysis and Management Rudolf B. Husar and Erin M. Robinson Washington University, St. Louis, MO 2007 National Environmental Information.

Web 2.0 in Air Quality Analysis and Management Rudolf B. Husar and Erin M. Robinson Washington University, St. Louis, MO 2007 National Environmental Information.
ESIP Vision: “Achieve a sustainable world” by Serving as facilitator and advisor for the Earth science information community Promoting efficient flow of.

ESIP Vision: “Achieve a sustainable world” by Serving as facilitator and advisor for the Earth science information community Promoting efficient flow of.
Planned Title: Review of Evaluation of Geospatial Search Allan Doyle.

Planned Title: Review of Evaluation of Geospatial Search Allan Doyle.
Stefan Falke Center for Air Pollution Impact and Trend Analysis Washington University in St. Louis Networked Data and Tools for Environmental Management.

Stefan Falke Center for Air Pollution Impact and Trend Analysis Washington University in St. Louis Networked Data and Tools for Environmental Management.
Distributed Data Analysis & Dissemination System (D-DADS) Prepared by Stefan Falke Rudolf Husar Bret Schichtel June 2000.

Distributed Data Analysis & Dissemination System (D-DADS) Prepared by Stefan Falke Rudolf Husar Bret Schichtel June 2000.
OPeNDAP and the Data Access Protocol (DAP) Original version by Dave Fulker.

OPeNDAP and the Data Access Protocol (DAP) Original version by Dave Fulker.
AIRNow-International The future of the United States real-time air quality reporting and forecasting program and GEOSS participation John E. White U.S.

AIRNow-International The future of the United States real-time air quality reporting and forecasting program and GEOSS participation John E. White U.S.
Distributed Voyager (DVoy) Web Services

Distributed Voyager (DVoy) Web Services
DRAFT June 6, 2005 ESIP AQ Cluster, Air Quality Cluster Air Quality Cluster TechTrack Earth Science Information Partners Partners NASA.

DRAFT June 6, 2005 ESIP AQ Cluster, Air Quality Cluster Air Quality Cluster TechTrack Earth Science Information Partners Partners NASA.
Unidata’s TDS Workshop TDS Overview – Part II 22-24 October 2012.

Unidata’s TDS Workshop TDS Overview – Part II October 2012.
Instrument Builders Information Specialists (ESIP) Scientists Curriculum Developers Teachers Decision Analysts Decision Makers Reports From Kim Kastens.

Instrument Builders Information Specialists (ESIP) Scientists Curriculum Developers Teachers Decision Analysts Decision Makers Reports From Kim Kastens.
Data Scrounging 101 Steve Signell, Instructor Robert Poirier, TA School of Science Rensselaer Polytechnic Institute Monday,

Data Scrounging 101 Steve Signell, Instructor Robert Poirier, TA School of Science Rensselaer Polytechnic Institute Monday,
REASoN REASoN Project to link NASA's data, modeling and systems to users in research, applications and education Application of NASA ESE Data and Tools.

REASoN REASoN Project to link NASA's data, modeling and systems to users in research, applications and education Application of NASA ESE Data and Tools.
Architecture and Technologies for an Agile, User-Oriented Air Quality Data System Rudolf B. Husar Washington University, St. Louis Presented at the workshop.

Architecture and Technologies for an Agile, User-Oriented Air Quality Data System Rudolf B. Husar Washington University, St. Louis Presented at the workshop.

Similar presentations

Ads by Google