NASAROSES RegAQ Groups
Air Quality Cluster > Applying NASA Observations, Models and IT for Air Quality Main Page > Proposal | NASA ROSES Solicitation | Context | Resources | Schedule | Forum | Participating Groups
- 1 Core Network for Exceptional Event for Project
- 2 Data Systems
- 2.1 EPA, AQS - Nick Mangus.
- 2.2 VIEWS - Shawn McClure.
- 2.3 AirNow - Tim Dye.
- 2.4 NOAA HMS/smoke layers - Ted Habberman.
- 2.5 NPS - Bret Schichtel
- 2.6 GIOVANNI - Greg Leptoukh.
- 2.7 PULSENet - Stefan Falke
- 2.8 BlueSky- Sean Raffuse.
- 2.9 AIRPACT - Joe Vaughan
- 2.10 NAAPS - Doug Westphal
- 2.11 BAMS - John McHenry.
- 2.12 DataFed - Rudy Husar
- 3 Decison Makers
- 4 Others Interested in Participating
Core Network for Exceptional Event for Project
Three main modes of participation:
- Sharing data, possibly adding standard interface for easy access in NEDS (Network for Event Decision Support)
- Taking some of the outputs of the EE DSS for use in another DSS
- Sharing/participating in event detection/analysis - either by exposing event analysis that is already being done or by using FASTNet to analyze AQ.
EPA, AQS - Nick Mangus.
The AQS database is the nation's repository of air quality data used for regulatory applications, including the National Ambient Air Quality Standard (NAAQS) and the Exceptional Event Rule. The AQS data for FRM PM2.5 and Ozone will need to be updated and made accessible to EE DSS either continuously through a standard, web-based interface (OGC Web Coverage Service, WCS) or through batch data exports from AQS in fixed time increments, say 3 months. The FRM data are used to establish compliance with the PM2.5 standard. Also, the EE flags to ... are attached to the FRM dataset.
VIEWS - Shawn McClure.
Visibility Information Exchange Web System (VIEWS) is an integrated database of aerosol chemistry data, which combines the IMPROVE, EPA Speciation Trend Networks (STN) and other aerosol chemistry datasets. The VIEWS chemical data are used in EE DSS to quantitfy the concentration of the controllable aerosol concentration as well as the contribution of the exceptional sources, e.g. fires, wind-blown dust, or July 4th smoke.
Provide Data/Analysis - possibly take data for VIEWS
AirNow - Tim Dye.
The AirNow network provides continuous (hourly) measurements of PM2.5, Ozone, and other parameters using methods that are not necessarily Federal Reference Methods (FRM). Many of the AirNow sites are co-located with FRM sites. The continuous, near-realtime AirNow data provide complimentary measurements to the FRM PM2.5 dataset. In particular, AirNow can provide be used to fill in observations in between the integrated FRM samples obtained every 3rd day.
Provide Data/Analysis - possibly take data for AIRNOW
NOAA HMS/smoke layers - Ted Habberman.
The Hazard Mapping System (HMS) of NOAA integrates fire observations from multiple satellite sensors, human observations, and other sources. The HMS dataset particularly useful for identifying major fires including their spatial extent. HMS also provides qualitative estimates of smoke pattern based on satellite images interpreted by humans. Provide Data/Analysis
NPS - Bret Schichtel
The National Park Service (NPS) has conducted air quality monitoring for the past 25 years for the purpose of protecting visual air quality near national parks. NPS is also performing extensive source and receptor analyses to establish the contribution of different sources. For the EE DSS the NPS contributions would include access to the IMPROVE data, air mass back trajectories for each of the monitoring sites, plume simulations of the smoke dispersion as well as other analysis tools and products. The data gathered through the EE DSS may also be beneficial for the air quality assessments and decision-making processes conducted in NPS.
GIOVANNI - Greg Leptoukh.
The GIOVANNI data portal provides access to an array of NASA satellite datasets that are beneficial for EE DSS. The satellite observations of Aerosol Optical Thickness, Absorbing Aerosl Index, NO2, and other substances are used to establish spatial pattern of the transported smoke or dust aerosol. Such observations are essential for establishing the causal relationship between the exceptional source and the affected monitoring site. Provide Data/Possibly take data?
PULSENet - Stefan Falke
PULSENet (Northrop Grumman) is a standards-based sensor web framework for access, display, processing, and dissemination of sensor data and tasking control of sensors. PULSENet is part of a NASA ESTO project titled, Sensor-Analysis-Model Interoperability Technology Suite (SAMITS), that is developing a package of standards, technologies, methods, use cases, and guidance for implementing networked interaction between sensor webs and forecast models. PULSENet will augment the EE DSS by providing standards-based interfaces to services suitable for workflow chaining in advanced application testing that ties together atmospheric, air quality, and fire sensors with smoke forecasting models. More Info
Provide Data/Tools/ Potentially take data/tools
BlueSky- Sean Raffuse.
BlueSky is a fire and smoke prediction tool used by land managers to facilitate wildfire containment and prescribed burning programs while minimizing impacts to human health and scenic vistas. BlueSky links computer models of fuel consumption and emissions, fire, weather, and smoke dispersion into a system for predicting the cumulative impacts of smoke from prescribed fires, wildfires, and agricultural fires. For the EE DSS, BlueSky may provide fire location and smoke forecasts that are prepared routinely as part of the interagency fire management program. BlueSky Presentation
Provide Model Data/Analysis
AIRPACT - Joe Vaughan
The goal of the AIRPACT (Air Indicator Report for Public Awareness and Community Tracking) project is to provide timely air quality (AQ) information to people in the Pacific Northwest region. More Info
Provide Model Data/Analysis
NAAPS - Doug Westphal
The Naval Research Laboratory (NRL) in Monterey, CA, has developed a near-operational system, NAAPS (Navy Aerosol Analysis and Prediction System) Global Aerosol Model, for predicting the distribution of tropospheric aerosols. Model simulations and forecasts may provide useful additional evidence for the cause of the high PM levels for exceptional events.
Provide Global Model Data
BAMS - John McHenry.
BAMS AQ Forecast System is a leading meterological and air quality forecast system providing decision support information to the general public through TV, radio and other channels. The air quality module incorporates satellite observations of fires and smoke into the aerosol forecasts. For the EE DSS, the BAMS AQ system can provide model simulations that can be used for establishing causes of exceptionally high concentrations of PM2.5 and haze. Conversely, BAMS AQ system may channel observations (satellite and other evidence) assembled through EE DSS to the general public. Provide Forecast Model Data/potentially incorporate EE descriptions into forecast?
DataFed - Rudy Husar
DataFed is Web services-based software infrastructure that non-intrusively mediates between autonomous, distributed data providers and users. DataFed is designed in accordance with the GEOSS architecture; It provides standard interfaces to heterogeneous distributed data, fosters data integration and community-based analysis. It collects metadata from data providers, mediators and end users./ DataFed provides the infrastructure upon which the EE DSS is built from reusuable Web Service components following Service Oriented Architecture. The EE DSS tools are mash-ups of data access services, metadata servers (wikis) as well as display/navigation components such as Google Earth. Provide Tools/Analysis/ Take data
EPA, EE Rule
- Neil Frank
Would provide analysis to check States
- Daniel Garver - SE Region
States, EE Flags, EE Justification
Would provide analysis
- Anthony BARNACK - identifies EEs for OR
- Bruce Louks - Idaho identifies EEs in combination between regional and state.
- Rich Poirot - VT