Presentation is loading. Please wait.

Presentation is loading. Please wait.

Air Quality: Exceptional Event DSS (Husar)

Published byAngelina Gloria Franklin Modified over 6 years ago

Similar presentations

Presentation on theme: "Air Quality: Exceptional Event DSS (Husar)"— Presentation transcript:

1 Air Quality: Exceptional Event DSS (Husar)
Earth System Models NAAPS Global Dust, Smoke Sulfate; Assimilated NASA products GOCART Global Aerosol Species, Fire CMAQ Hi-Res Regional Chem. PlumeSim Diagnostic Plume Simulation Predictions/Forecasts Decision Support Systems, Assessments, Management Actions Exceptional Event DSS A. Event Description B. Source Attribution C. Temporal Anomaly D. ‘But For’ Impact Which Samples to Flag? What is the Evidence? Is EE Flag Valid? Value & Benefits to Society Easy EE Detection Hi-Quality Justification Uniform Reports & Evals Time Savings States, EPA Satellite Data Use in AQ Reuse of Services & Tools Continental Transport Boundary Conditions Smoke, Dust Est. OGC WMS WCS Service Oriented Arch Data Integ. & Fusion GEOSS Compatible Aerosol, Gas Pattern Natural + Manmade Exceptional Impact Earth Observations MODIS AOT OMI AerIndex, NO2 CALIPSO Aerosol Chem. Comp Surface Visibility Transport Winds Observations, Parameters & Products

2 ROSES-2007 National Application: Project Name (PI LastName)
Earth System Models Model name, type, predictive capabilities, assimilations, other info Predictions/Forecasts Decision Support Systems, Assessments, Management Actions Name of decision support system or decision process Specific analyses to support the decision making Specific Decisions / Actions Value & Benefits to Society Improvements in the decision-making, decisions, and actions (actual, expected, estimated) Quantitative and qualitative benefits from the improved decisions Specific products or types of predictions from the models Specific interoperability, data fusion, and other information technology to support integration Specific observations products or parameters feeding the DSS Earth Observations (e.g., satellite, in situ) Mission, sensor, data products, parameters, other info Observations, Parameters & Products

Download ppt "Air Quality: Exceptional Event DSS (Husar)"

Similar presentations

Air Quality and Health Scenario Stefan Falke, Rudy Husar, Frank Lindsay, David McCabe.

Air Quality and Health Scenario Stefan Falke, Rudy Husar, Frank Lindsay, David McCabe.
1 GEOSS Architecture Implementation Pilot (AIP) Phase 2 Air Quality and Health Working Group Stefan Falke, Rudy Husar, Frank Lindsay, David McCabe, Erin.

1 GEOSS Architecture Implementation Pilot (AIP) Phase 2 Air Quality and Health Working Group Stefan Falke, Rudy Husar, Frank Lindsay, David McCabe, Erin.
Rudolf Husar, Director, Center for Air Pollution Impact and Trend Analysis, CAPITA Washington University in St. Louis User-Oriented Data Analytics and.

Rudolf Husar, Director, Center for Air Pollution Impact and Trend Analysis, CAPITA Washington University in St. Louis User-Oriented Data Analytics and.
Exceptional Events Elements of an Effective Demonstration Darren Palmer US EPA Region 4.

Exceptional Events Elements of an Effective Demonstration Darren Palmer US EPA Region 4.
FASTNET Report: 0409RegHazeEvents04 Eastern US Regional Haze Events: Automated Detection and Documentation for 2004 Contributed by the FASNET Community,

FASTNET Report: 0409RegHazeEvents04 Eastern US Regional Haze Events: Automated Detection and Documentation for 2004 Contributed by the FASNET Community,
Satellite and Above-Boundary Layer Observations for Air Quality Management Workshop Series – 2 nd Workshop Satellite and Above-Boundary Layer Observations.

Satellite and Above-Boundary Layer Observations for Air Quality Management Workshop Series – 2 nd Workshop Satellite and Above-Boundary Layer Observations.
 Provides integrated online access to:  Monitoring data: from over 3 dozen networks  Modeling data: from a variety of modeling scenarios  Emissions.

 Provides integrated online access to:  Monitoring data: from over 3 dozen networks  Modeling data: from a variety of modeling scenarios  Emissions.
Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-based, Modeled, and Emissions Data NASA ROSES 2007:

Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-based, Modeled, and Emissions Data NASA ROSES 2007:
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Air Quality Products from.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Air Quality Products from.
Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.

Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.
Infusing satellite Data into Environmental Applications (IDEA): PM2.5 forecasting tool hosted at NOAA NESDIS using NASA MODIS (Moderate Resolution Imaging.

Infusing satellite Data into Environmental Applications (IDEA): PM2.5 forecasting tool hosted at NOAA NESDIS using NASA MODIS (Moderate Resolution Imaging.
Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot (AIP) Air Quality and Health Working Group Stefan Falke, Rudy Husar,

Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot (AIP) Air Quality and Health Working Group Stefan Falke, Rudy Husar,
Visualization, Exploration, and Model Comparison of NASA Air Quality Remote Sensing data via Giovanni Ana I. Prados, Gregory Leptoukh, Arun Gopalan, and.

Visualization, Exploration, and Model Comparison of NASA Air Quality Remote Sensing data via Giovanni Ana I. Prados, Gregory Leptoukh, Arun Gopalan, and.
Observation-Based Quantification of the PM and Ozone at the US-Global Boundary CAPITACAPITA, Washington University Rudolf B. Husar, PI In Cooperation with.

Observation-Based Quantification of the PM and Ozone at the US-Global Boundary CAPITACAPITA, Washington University Rudolf B. Husar, PI In Cooperation with.
Data Analysis Matrix Data Sources, Tools for Analysis and Collaboration, Products and Decision Support sagfsdh Real-time Analysis Days Retrospective Anal.

Data Analysis Matrix Data Sources, Tools for Analysis and Collaboration, Products and Decision Support sagfsdh Real-time Analysis Days Retrospective Anal.
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.
Technical Support for Exceptional Event Analysis for Volcano Impacts on PM2.5 in Hawaii using the Exceptional Event Decision Support System (EE DSS)EE.

Technical Support for Exceptional Event Analysis for Volcano Impacts on PM2.5 in Hawaii using the Exceptional Event Decision Support System (EE DSS)EE.
Exceptional Event Decision Support System (EE DSS) Illustration for PM2.5 Exceedances The EE DSS is a screening tool for EE flagging. It uses the regulatory.

Exceptional Event Decision Support System (EE DSS) Illustration for PM2.5 Exceedances The EE DSS is a screening tool for EE flagging. It uses the regulatory.
DataFed Support for EPA’s Exceptional Event Rule R.B. Husar Washington University in St. Louis Presented at the workshop: Satellite and Above-Boundary.

DataFed Support for EPA’s Exceptional Event Rule R.B. Husar Washington University in St. Louis Presented at the workshop: Satellite and Above-Boundary.
Earth System Models NASA TOPS -- Terrestrial Observation and Prediction System (predictive capabilities of over 30 variables describing land surface conditions.

Earth System Models NASA TOPS -- Terrestrial Observation and Prediction System (predictive capabilities of over 30 variables describing land surface conditions.

Similar presentations

Ads by Google