Download presentation
Presentation is loading. Please wait.
1
Earth Science Information Partners
Air Quality Cluster Meeting page:
2
Goals 1. Serve as facilitator and advisor for the Earth science information community. 2. Promote efficient flow of Earth science data from collection to end-use. 3. Improve quality and usability of Earth science data and information systems. 4. Expand the use of Earth science information – get it to the decision-makers. 5. Educate the public about Earth science and science information systems. Activities Provide Neutral Turf where Major Earth Observing Agencies Can Work Together with Other Community Interests to Advance Key National Objectives Provide a Broad-Based Community-of-Practice where Strategic Partners can Seek Advice, Generate New Collaborations and Cultivate New End-Users. Provide a Forum in which Inter-Agency, Inter-Disciplinary, Interoperability Problems can be Addressed and Resolved. Provide an Earth Information Exchange where the Products and Services of all ESIP Members can be Easily Found and Acquired. Provide domain-specific context for data where metadata and other contextual information about data is available to help understand how data are creating and used
3
ESIP Air Quality Cluster
Objective is to connect air quality data consumers and data producers: bringing people and ideas together on how to deliver ES data to AQ researchers, managers and other users/consumers facilitate and demonstrate the information flow of from data providers to air quality consumers data tools,methods,services users AQ Cluster brings together groups and builds 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. a) AQ Cluster aids in reuse of data, processing tools and other services so that projects, programs and agencies avoid the burden of developing those capabilities or establishing connections to them. data tools,methods,services users b) . c)
4
The Air Quality Web Landscape (not comprehensive)
NASA Programs/Projects REASoN (Friedl, Moe) WRAP (Ambrosia, Sullivan) EDAC (Morain, Benedict, Hudspeth) LAITS (Di, Yang) AQ Web Infrastructure (Husar, Falke) ACCESS (Lindsay, Maiden) Giovanni (GSFC – Kempler) DECISIONS (Friedl) 3D AQS (Hoffman, Engel-Cox) RS for BlueskyRAINS (Sullivan, Raffuse) Aura in AQ Forecasting (McHenry) AIST (Moe) SAMITS (Falke) Sensor Web Architecture & Demo (Mandl) DAACS Geoscience Interoperability Office (Bambacus, Cole) Mediators DataFed (Husar) Unidata (Domenico, Ramamurthy) CDE (Ambrosia, Sullivan) Giovanni (Kempler, Leptoukh, Berrick) LAITS (Di) RSG (Paulson) NEISGEI (Falke) Portals / Catalogs Earth Information Exchange (ESIP) Earth Observation Portal (GEO) Geospatial One Stop Earth Science Gateway (NASA) Environmental Science Connector (EPA) Global Change Master Directory (GCMD) ECHO (NASA) LEAD (NSF) EPA Programs/Projects AMI (Young, Keating) GEO (Young, Washburn, Lyon, Foley) AirNOW (Wayland, Dickerson) AirQuest OAQPS (Scheffe, Frank, Dimmick, Solomon, Pace) IDEA (w/ NASA,NOAA) (Szykman) HTAP (Keating) Remote Sensing Gateway (Paulson, Walter) Environmental Science Connector (Kapuscinski) Interoperability Efforts GALEON NASA GIO – DAACS ESIP OGC GSN (demos) OGC OWS testbeds GEOSS pilots NOAA Programs/Projects State Air Quality Forecasting (Fine, NESDIS) NGDC (Haberman, Kozimor) Hazard Mapping System (Ruminski) Aura in AQ Forecasting (Lamb, Vaughan) RPOs Vermont (Poirot) Forest Service Programs/Projects International Bluesky (Larkin, Goodrick) ESA/KMNI
5
Recent Cluster Activities
NO2 Data Synthesis Workshop (Oct31-Nov1) - DataSpaces / Workspaces / DataSheets – October S. California Smoke Workspace - Air Pollution Event Analyses – EPA Air Quality Data Summit participation - Communication and interaction via: Wiki Weekly Friday telecons list ESIP meetings
6
OMI NO2 Interoperability Network Example Data Flow
Source: Frank Lindsay, 2007
7
Suggested Activities Today
Review DataSpaces Refine ESIP Air Quality Cluster mission in preparation for EPA Air Quality Data Summit
8
EPA Air Quality Data Summit comments
GEOSS borne DataFed ( and Earth Science Information Partners (ESIP), appear to embrace the basis tenets of data system interoperability and have used “air” as a powerful illustrative medium. Does this DataFed/ESIP structure benefit the air quality user community? Or, does it have enormous potential to do so? What needs to be accomplished to elevate DataFed/ESIP to a more prominent position in mainstream data sharing and analysis activities? Or, has it reached that point? What, then, is the relationship among DataFed/ESIP and other organizational systems? Should other systems make some form of a commitment to embrace”standards” inherent in the DatFed/ESIP venture? What would those commitments be? By the way, what is the distinction between DataFed and ESIP? Why bother? I have the ability to retrieve data and manipulate it the way I need to? Do not encumber me with all this collaboration and data harmonization talk. From:
9
Winter ESIP Meeting, January 8, 2008, Washington DC
ESIP Air Quality Custer Initiative Workspaces: Connecting Data Producers, Analysts Decision Makers Winter ESIP Meeting, January 8, 2008, Washington DC
10
SOA allows accessing distributes AQ data
11
The Information Interoperability Stack
Web 2.0
12
Data-Centric Workspace: DataSpaces
Semantic Wiki: Structured (RDF and Unstructured Content Open, Standard Matadata - RDF Ready for Export/Harvesting by Registries, Catalogs Describe Dataset Catalog - Find Dataset Discuss Dataset Earth Science Information Partners (ESIP)
13
App-Centric Workspaces: EventSpaces
Specific Exceptional Event Catalog - Find Dataset Harvest Resources
14
Workspaces The Web is being transformed: It is becoming more participatory See the explosive growth of wikies, picture-sharing, blogs, Facebook This architectural, technological and cultural change is Web 2.0 Web 2.O is good for Earth Science community since it allows Better harvesting of current knowledge However, many cultural, legal and other berries remain Workspaces may connect info providers, analysts, decision makers
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.