GEOSS Architecture Implementation Pilot Air Quality and Health Scenario David McCabe U.S....
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Transcript of GEOSS Architecture Implementation Pilot Air Quality and Health Scenario David McCabe U.S....
![Page 1: GEOSS Architecture Implementation Pilot Air Quality and Health Scenario David McCabe U.S. Environmental Protection Agency McCabe.David@epa.gov.](https://reader036.fdocuments.in/reader036/viewer/2022062714/56649d245503460f949fab89/html5/thumbnails/1.jpg)
GEOSS Architecture Implementation Pilot
Air Quality and Health Scenario
David McCabe
U.S. Environmental Protection Agency
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Air Quality & Health AIP Scenario
• Air pollution is a serious global public health problemWorldwide: hundreds of thousands of deaths from outdoor air pollution
• Air pollution is influenced by processes on many scalesLocal, regional, intercontinental to global; times of minutes to years
• To understand, forecast, and manage air pollution, diverse information needs to be brought together:– surface monitors, satellites, airborne sensors– meteorological & chemical transport models– emissions & emissions-generating activities– demographics, exposure-related behavior, health impacts – air pollution crosses political boundaries so information must too
Great Lakes,23 April 2008
MODIS TerraRGB; AQI from AIRNow
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Development of the AIP Air Quality Scenario
• Developed iteratively by a collaborating multi-organization group • Written on the ESIP wiki, using online forum and telecons to plan, discuss,
and develop the submitted scenario • Developed the ESIP air quality Community of Practice, which is co‑evolving
with the AIP Pilot and other activities
Community of Practice Wiki for AQ Scenario
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What does the air quality scenario envision?
We produced a very broad, ambitious scenario, structured around 4 societal needs:
- Real-time event analysis (e.g., smoke, dust plumes)For forecasts, alerts, exceptional event rule analysis, etc.
- Assessing long-range transport of air pollutionPolicymakers need scientific assessments, assessment requiresbetter tools for using satellite, met, ambient data
- Assimilating satellite data with models to improve AQ forecastsSatellite data will improve forecasts, particularly in sensor-poor regions;interoperabilty challenge to make sufficiently fast forecasts feasible.
- Getting air quality forecasts and nowcasts to the publicAllows individuals, families to adjust plans if air quality is/will be poor;allows health community, other decision-makers to plan for episodes
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What does the air quality scenario envision?
• Data and tools needed for any one of the 4 goals… …are needed for all of them
• Many data, tools already exist for each goal……but the systems don’t readily work together
We have produced a broad, ambitious scenario which does not call for specific ‘killer apps’ or demonstrations. Instead it calls for a service-oriented, interoperable, accessible, and available system of systems.
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• Earth Observations Providers Space agencies; met, land management, and environmental/health agencies(national, regional, local); Academics; Private sector
• Air Quality Modelers, Forecasters, and Analysts
Environmental/health management and met agencies (national, regional, local)
Modelers and analysts in many settings
• Information Management Specialists
• Air Quality Management Decision-Makers
Environmental, health agencies;
Multi-lateral Cooperative Fora: LRTAP, EANET, Malé Declaration, Arctic Council
• Other Consumers of Air Quality Informations
Public, researchers, mass-media, …
Air Quality & Health Scenario: Actors
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Many actors are ‘decision-makers’
Policymakers, sensitive individuals, modelers, parents, transit officials, air quality managers, weather forecasters, air quality analysts, environmental compliance officials, …
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Air Quality & Health: Starting Information
• Meteorological data – Observations from ground-based networks, satellites, sondes– Forecasts from numerical models at the global and regional scales
• Geographical data – Land use – Demographics– Emissions-related activity
• Atmospheric Composition (Air Quality) Observations– Surface Monitoring Networks– Satellite Observations – Sondes– Ground-based remote sensors– Aircraft Measurements
• Numerical Air Quality Chemical Transport Models – (at regional to global scales)
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Air Quality & Health Scenario: Existing Efforts
• Real-Time Large-Scale Event Analysis – FASTNET, IDEA, SmogBlog
• Assessment of International and Intercontinental Transport of Air Pollution– HTAP Data Network, AMET, RSIG, HemiTap
• Assimilation of Observations for Air Quality Forecasting– GEMS, RAQMS
• Provision of Relevant Information to the Health Community & the Public– AIRNow, PHASE
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Examples – pieces of the puzzle
GAW:
WMO
Global
Atmosphere
Watch
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Examples – pieces of the puzzle
GEMS:Global & regionalEarth systemMonitoringusingSatellites
(ECMWF)
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Examples – pieces of the puzzle
Informing the public about Air Quality & Forecasts in real time: AIRNow
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Interoperability needed!
many systems,
many pipes….
we shouldn’t
keep reinventing
wheels!
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Societal needs and the actors
Da
ta wo
nks
Mo
de
lers
Air Q
uality a
na
lysts
Loca
l policy m
ake
r
Dista
nt p
olicy m
aker
Se
nsitive individ
ual
Real time
event analysisX X X X X X
Assessing inter-continental transport
X X X X X
Merging satellites,
in-situ, model dataX X X
AQ nowcasts, forecasts to public
X X X X X