2.6.2 Air Quality Scenario

Summary

The air quality scenario envisions GEOSS facilitating two broad goals: building connections to facilitate movement of data between actors, and developing interoperable tools for intercomparison and fusion of a wide variety of atmospheric data. This brief description of the scenario contains hyperlinks to a more detailed version of the scenario.

The scenario is focused on three end users:

A policy-maker, needing synthesized information on the importance of intercontinental pollutant transport
An air quality compliance manager, who needs to assess whether a regional pollution event was caused by an "exceptional event"
The public, needing information about air quality now and in the near future (via air quality forecasts) to make activity decisions

While the scenario describes three distinct sets of end users, each depends upon common upstream actors and synthesized Earth observations. In fact, the common need for these integrated atmospheric observations is a primary motivation for the structure of this scenario.

Given the wide variety of atmospheric processes at many scales, each of the above decisions needs an array of observations and models, such as: ambient monitors, radiosondes and other profiling instruments, chemical transport models, satellite measurements, meteorological and emissions data and models, and demographic and economic information. Each type of data is significantly limited and not able to broadly document the state of the atmosphere. Synthetic fusion and intercomparison of the data will allow analysts to produce a far more complete and accurate description of the atmosphere than obtainable from any one type of data. There are a number of scientific approaches to this challenge, but the technical tools for intercomparison, fusion, and processing of air quality data are not operationally available.

This scenario is consistent with GEO project HE-07-03: Integrated Atmospheric Pollution Monitoring, Modelling, and Forecasting in the GEO 2007-2009 Work Plan, and with the efforts of the CEOS Atmospheric Composition Constellation; the development of the GMES Atmospheric Service, as well as other major international collaboration efforts.

Context and pre-conditions

Actors, and the information they need

A number of actors process earth observations information upstream of the decision makers, who base their decisions on highly synthesized data.

While presented here in a matrix, a number of these actors have overlapping roles, and the same individuals will serve several downstream decision makers. Similarly, similar upstream information serves all of the end users in the scenario. Actors are enumerated in more detail in the full scenario.

Intercontinental pollution transport

End use decision maker: Policy maker negotiating an agreement on intercontinental pollutant transport
- Information needed: Synthetic assessment reports quantifying the impact of long-range pollutant transport
Upstream information processor: Scientific advisory group
- Information needed: Technical assessments of model experiments and synthesized datasets to assess transport
Upstream information processor: Scientific task force assessing long-range transport
- Information needed: Synthetic description of the atmosphere, using multiple observations and models (satellites, ambient, etc.)
Upstream information processor: Air quality data analysts
- Information needed: Chemical transport models, satellite & ambient observations, emissions data & models, meteorological data, data integrating all of the above

Exceptional pollution event

End use decision maker: Air quality manager assessing pollution event: is it an exceptional event?
- Information needed: Assessment reports which quantify the impact of transport on the region for that period
Upstream information processor: Air quality data analysts
- Information needed: Chemical transport models, satellite & ambient observations, emissions data & models, meteorological data, data integrating all of the above

Member of the public planning activities

End use decision maker: Member of the public
- Information needed: Air Quality Index or similar health-based index for the local area
Upstream information processor: Air quality forecasters / data collectors
- Information needed: Chemical transport models, satellite & ambient observations, emissions data & models, meteorological data, data integrating all of the above

Earth observations providers

Most of these earth observations are used in all three of the decision making information chains.

Government agencies (National, State/Provincial/Tribal, and/or Local):
- Environmental, Meteorological, Land management, Space agencies
Industry, Consultants
Academic and Other Research Institutes
International cooperative fora (e.g. WMO, CEOS, EEA, ...)

Information already available for the scenario events

meteorological data, such as observations from ground-based networks, satellites, sondes, and forecasts from numerical models at the global and regional scales
geographical data (land use, demographics, emissions-related activity, etc.)
atmospheric composition (air quality) observations such as surface monitoring networks, satellite observations, sondes, ground-based remote sensors, and aircraft measurements
numerical air quality chemical transport models (at regional to global scales)

Specific processing and collaboration functionality needed

Community Catalog(s) for registering data and services to be harvested by the GEOSS Clearinghouse
Community Portal(s) for finding, accessing the data and services needed for the execution of the scenario,
Functionality for standard-based access to spatio-temporal data and metadata, and workflow software for for service orchestration
Community of Practice Workspace(s) where the actors in the scenario can communicate and coordinate their activities.

Additional functionality and facilities specific to the Air Quality Scenario should include tools for visualizing, and processing observational and modeling data for near real time and for historical analysis. These tools should facilitate:

Integration of multiple observational data sets to create rich n-dimensional descriptions of the atmosphere to improve understanding of atmospheric processes;
Comparison of observational data to numerical model estimates to improve numerical model descriptions of historical conditions (events or long-term trends);
Real-time assimilation of observational data into numerical models to improve numerical forecasts;
Effective mechanisms for distributing (in near real time) maps/images, descriptive information, and processed data health, emergency response, and air quality management authorities; to mass media; other research and assessment communities (e.g., health); and the general public.

Scenario Events

The cyberinfrastructure envisioned by this scenario will enable analysts to combine wide range of air quality observations, models, and other information, which will ultimately be used to produce a broad range of decision support products for a number of different audiences. The air quality and health scenario events include: Assessment of International and Intercontinental Transport of Air Pollution, Exceptional Event Analysis, and Informing the Public and the Health Sector About Air Quality. Current projects (e.g. AIRNow, AIRNow-International, 3D-AQS, PHASE, GEMS, IDEA) are significant building blocks along with the evolving data mediatiors (e.g. Datafed, GIOVANNIof the needed networks and tools. As above, the actors will benefit from constructing linkages between data sources and tools, but also from development and linking tools to facilitate comparison of models, observations, and emissions information.

AQ Scenario for AIP 2008 CFP

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