1 / 6

Air Quality Cluster TechTrack

Informing Public. Air Quality Data. AQ Compliance. Data to Knowledge Transformation. Meteorology Data. Network Assess. Status and Trends. Emissions Data. Tracking Progress. Flow of Data. Flow of Control. Partners(?). NASA NOAA EPA USGS DOE NSF Industry….

mirra
Télécharger la présentation

Air Quality Cluster TechTrack

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Informing Public Air Quality Data AQ Compliance Data to Knowledge Transformation Meteorology Data Network Assess. Status and Trends Emissions Data Tracking Progress Flow of Data Flow of Control Partners(?) • NASA • NOAA • EPA • USGS • DOE • NSF • Industry… Earth Science Information Partners Air Quality ClusterTechTrack Data Flow Technologies and Demonstrations Draft, March 2005 (intended as background for AQ Cluster discussions) Contact: Rudolf Husar, rhusar@me.wustl.edu

  2. Information ‘Refinery’ Value Chain Info. Quality Data Information Informing Knowledge Productive Knowledge Action Analyzing Separating Evaluating Interpreting Synthesizing Judging Options Quality Advantages Disadvantages Deciding Matching goals Compromising Bargaining Deciding Organizing Grouping Classifying Formatting Displaying Transform. Processes e.g. WG Reports Examples e.g. Langley IDEA, FASTNET, Forecast Modeling e.g. RPO Manager e.g. DAAC ESIP – Facilitation ? Sates, EPA, International Value Chain Based on Taylor, 1975: Value-Added Processes in Information Systems

  3. Data Flow & Processing in AQ Management Data ‘Refining’ Processes Filtering, Aggregation, Fusion Primary Data Diverse Providers AQ Management Reports ‘Knowledge’ Derived from Data AQ DATA EPA Networks IMPROVE Visibility Satellite-PM Pattern Status and Trends AQ Compliance METEOROLOGY Met. Data Satellite-Transport Forecast model Network Assess. Exposure Assess. EMISSIONS National Emissions Local Inventory Satellite Fire Locs Tracking Progress

  4. Informing Public AQ DATA AQ Compliance Data to Knowledge Transformation METEOROLOGY Network Assess. Status and Trends EMISSIONS DATA Tracking Progress Flow of Data Flow of Control Data Flow and Flow Control in AQ Management Provider Push User Pull Data are supplied by the provider and exposed on the ‘smorgasbord’ However, the choice of which data is used is made by the user Thus, data consumers, providers and mediators together form the info system

  5. Air Quality Data Use(EPA Ambient Air Monitoring Strategy, 2004)

  6. A Sample of Datasets Accessible through ESIP MediationNear Real Time (~ day) It has been demonstrated (project FASTNET) that these and other datasets can be accessed, repackaged and delivered by AIRNow through ‘Consoles’ MODIS Reflectance MODIS AOT TOMS Index MODIS Fire Pix GOES AOT GOES 1km Reflec NEXTRAD Radar NWS Surf Wind, Bext NRL MODEL

More Related