Difference between revisions of "FASTNET Smoke Scenario"
Line 52: | Line 52: | ||
<font color="#000080">''Template: The scenario should be elaborated as a set of steps that result in the creation of decision support products developed in collaboration by the actors.''</font><br><br> | <font color="#000080">''Template: The scenario should be elaborated as a set of steps that result in the creation of decision support products developed in collaboration by the actors.''</font><br><br> | ||
− | |||
− | |||
− | |||
[http://capita.wustl.edu/capita/researchareas/FASTNEt/FASTNet_Propl_Fin.htm Fast Aerosol Sensing Tools for Natural Event Tracking (FASTNET) Proposal] <br> | [http://capita.wustl.edu/capita/researchareas/FASTNEt/FASTNet_Propl_Fin.htm Fast Aerosol Sensing Tools for Natural Event Tracking (FASTNET) Proposal] <br> | ||
Line 89: | Line 86: | ||
# Community summary report on the initial analysis and interpretation of the selected event | # Community summary report on the initial analysis and interpretation of the selected event | ||
# Event data, organized and stored (5+years), suitable for subsequent detailed analysis. | # Event data, organized and stored (5+years), suitable for subsequent detailed analysis. | ||
+ | |||
+ | |||
+ | |||
+ | <font color="#000080">''Template: Use the table to identify the main sequence of events in the scenario. In the course of the scenario you may identify an alternative branch step that could be taken, but then return to the main sequence steps. ''</font><br> |
Revision as of 15:06, January 28, 2008
<Back to GEOSS AIP Pilot Scenario
(This page is based on the template provided by GEOSS Architecture Workgroup.) Example Scenario - Energy - Solar Scenario
Summary
Template: Provide a summary of the scenario and the community that the scenario supports.
The communities supported by the scenario are the General Public, Air Quality Regulators, and Atmospheric Scientist.
Template: Identify the specific decisions to be made.
- Informing and advising the Public
- General Public Information - Newspaper, TV...
- Public Health - surface concentration, (American Lung Assoc.)
- Public Safety - Road visibility (DOT), Aviation visibility (FAA)
- Air Quality Regulatory Decision-Support
- Exceptional Event Documentation (State, Regional, Federal)
- Smoke Transport - Inter-Regional, International, Inter-Continental (LRTP, HTAP)
- Atmospheric Science Decision Support
- Smoke Emission Source Characterization
- Transport Mechanisms, Distances, Spatial-Temporal pattern
- Kinetic Processes
Template: Provide references for additional information.
All Del.icio.us links tagged Workspace:GEOSS_AIP_AQ_Scenario
<feed url="http://del.icio.us/rss/tag/Workspace:GEOSS_AIP_AQ_Scenario">
- [{PERMALINK} {TITLE}]
{DESCRIPTION} </feed>
Context and pre-conditions
Template: Identify the actors in the scenario. Actors are any persons involved in the scenario.
- Data Providers
- Data Mediators and Processing Centers
- Data Analysts
- Decision-Makers: Public, Regulators, Scientists
Template: List, at a summary level, the specific information assumed to be available before the scenario begins.
- Near-Real Time Monitoring Data from dedicated Surface, Upper Air and Satellite sensors
- Semi-quantitative information on smoke harvested from Public information sources
- Initial Model simulations of smoke emission, transport/transformation/removal
- Integrated Datasets suitable for assimilation into forecast models for improving predictions
Template: List, at a summary level, the specific processing and collaboration functionality assumed needed in the scenario.
- Identification and accessing the relavent monitoring data from dedicated Surface, Upper Air and Satellite sensors
- Harvesting the data sources from "other" agencies/organizations, Public contributions of first-hand reports, images, videos...
- Data sharing and integration functionality would need to include Standard-based, seamless (if possible) data access, registry for finding resources (data and metadata), workflow software for integrating Service Components
- The Smoke Air Quality Community of Practice would need to be supported by a workspace where the communal resources on the specific smoke event (and smoke in general?) are assembled ... other Decision Support System functionality.
- Ability to produce near-Realtime reports that characterize the smoke event
Scenario Events
Template: The scenario should be elaborated as a set of steps that result in the creation of decision support products developed in collaboration by the actors.
Fast Aerosol Sensing Tools for Natural Event Tracking (FASTNET) Proposal
The real-time natural aerosol event tracking-analysis will be performed for a single event occurring in the warm season (May-Oct) of 2004. The proposed real-time event analysis system will utilize all the capabilities of the FASTNET web information system including the Community Website, the Analyst Console and the Managers Console. Below is a tentative scenario that describes the proposed procedures and actions in Task 4.
- The AQ Analyst Console will be set up to monitor at least six different aerosol parameters as spatial maps, time series and animations: MODIS (incl. fire locations), GOES and TOMS satellites; PM25, ASOS visibility and surface weather parameters; global/NAM wind fields and trajectories and current and forecast model calculations.
- Designated and voluntary analyst(s) (watch-person) will use the web-based Analysts Console to monitor the current aerosol situation over North America and beyond.
- The monitoring consists of scanning the spatial, temporal aerosol pattern on satellite images as well as the time series of point samplers.
- Once an ‘interesting’ event appears at any of the pages of the Analysts Console, the watch-person(s) will explore the pattern of other peripheral data such as weather pattern, trajectories and other monitors to ascertain the emergence of the natural event.
- Some forecast models (e.g. The NRL global aerosol model) could predict with high level of confidence the onset of dust major events. The time and location of major smoke events is probably not predictable.
- Throughout the event’s emergence, the watch-persons share their observations and views about the event, in particular the judgment whether the event is sufficiently large to warrant issuing trigger messages.
- Given a trigger decision, cascading trigger messages will be issued to different groups that may need to act or who are interested in observing/participating in the community action.
- Throughout the entire time the Managers Console exposes a subset of the aerosol data relevant to the managers. Following a trigger message from RAW, the Managers Console activates additional AQ management triggers.
- As the significant natural aerosol event evolves, the virtual workgroup of analysts summarizes the initial findings about the natural event including sources, transport, aerosol pattern and impact in a simple story and picture book (PPT). The Analysts summary will also be linked to the to the Managers Console for informing and educating the broader community.
- As the entire alerted RAW system tracks the event, a multiplicity of decisions and actions are executed, including the decision to slow down or conclude the intensive event watch.
- Following the event, the natural event is evaluated and decisions are made if the event warrants more detailed analyses for regulatory, or other purposes.
- Finally, the community lays out plans for possible retrospective analysis of the event.
According to the current plans, the MODIS satellite data will be obtained from the U Wisconsin Direct-broadcast station. (The access to the MODIS direct-broadcast aerosol product has not yet been assured). Fire locations will be obtained from NASA MODIS University of Maryland real-time fire product or the NOAA ABBA GOES University of Wisconsin hourly fire locations. Daily Micro-Pulse Lidar (MPL) images will be picked up from the NASA Goddard MPLNet website. A significant new source of vertical aerosol profiles is the GLAS space borne lidar. We anticipate its availability for use in FASTNET. Images from Webcams will be obtained from HAZENET, NPS and other sources of high-resolution photographs. The hourly (truncated) ASOS visibility data from about 1200 sites will be provided by CAPITA. STI will provide CAPITA access to hourly AIRNow PM2.5 and ozone data in spatial and/or temporal format via FTP. While EPA has tentatively agreed to make these data
A significant aspect of Task 4 is the development and testing of the Managers Console prototype, to be developed and operated by STI. The ACMC is described in the above section ‘Air Quality Managers Console (ACMC)’.
The useful, integrated derived data products will be developed from the following data combinations:
- Spatial Pattern: Primary PM2.5, ASOS, MODIS and TOMS Satellite
- Temporal Pattern: PM2.5, ASOS, GOES satellite
- Vertical Pattern: MPL lidar, GLAS lidar, PM/ASOS comparison to MODIS AOT, AERONET AOT
- Source Identification: Satellite, Forward/back trajectories, spatio-temporal source signatures
- Visibility Impact: ASOS, PM2.5 and satellite as surrogate
Deliverables.
- Demonstration of the real-time data access-ingestion-analysis capabilities of the FASTNET web-based tools system to track natural aerosol events consisting of the (1) Community website; (2) Analysts Console and the (3) Managers Console.
- Assessment report of the strengths and weaknesses of the real-time data tracking system
- Community summary report on the initial analysis and interpretation of the selected event
- Event data, organized and stored (5+years), suitable for subsequent detailed analysis.
Template: Use the table to identify the main sequence of events in the scenario. In the course of the scenario you may identify an alternative branch step that could be taken, but then return to the main sequence steps.