Difference between revisions of "FASTNET Smoke Scenario"

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[[GEOSS_AIP_Pilot_Scenario| <Back to GEOSS AIP Pilot Scenario]]<br>
 
[[GEOSS_AIP_Pilot_Scenario| <Back to GEOSS AIP Pilot Scenario]]<br>
  
(This page is based on the template [http://www.ogcnetwork.net/node/349 provided by GEOSS Architecture Workgroup].) Example Scenario - [http://www.ogcnetwork.net/node/350 Energy - Solar Scenario]
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===FASTNET Smoke Scenario===
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[http://capita.wustl.edu/capita/researchareas/FASTNEt/FASTNet_Propl_Fin.htm Fast Aerosol Sensing Tools for Natural Event Tracking (FASTNET) Proposal] <br>
  
===Summary===
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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.
  
<font color="#000080">''Template: Provide a summary of the scenario and the community that the scenario supports.''</font><br>
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# 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.
The communities supported by the scenario are the General Public, Air Quality Regulators, and Atmospheric Scientist. <br>
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# 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.
<font color="#000080">''Template:  Identify the specific decisions to be made.''</font><br>
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# The monitoring consists of scanning the spatial, temporal aerosol pattern on satellite images as well as the time series of point samplers.  
* '''Informing and advising the Public'''
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# 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.  
** General Public Information - Newspaper, TV...
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# 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.  
** Public Health - surface concentration, (American Lung Assoc.)
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# 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.  
** Public Safety - Road visibility (DOT), Aviation visibility (FAA) 
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# 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.  
* '''Air Quality Regulatory Decision-Support'''
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# 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.
** Exceptional Event Documentation (State, Regional, Federal)
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# 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.
** Smoke Transport - Inter-Regional, International, Inter-Continental (LRTP, HTAP)
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# 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.
*''' Atmospheric Science Decision Support'''
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# Following the event, the natural event is evaluated and decisions are made if the event warrants more detailed analyses for regulatory, or other purposes.  
** Smoke Emission Source Characterization
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# Finally, the community lays out plans for possible retrospective analysis of the event.  
** Transport Mechanisms, Distances, Spatial-Temporal pattern
 
** Kinetic Processes
 
<font color="#000080">''Template:  Provide references for additional information.''</font><br>
 
===[http://del.icio.us/tag/Workspace:GEOSS_AIP_AQ_Scenario  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}]
 
<html>{DESCRIPTION}</html>
 
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===Context and pre-conditions===
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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 [http://maps.geog.umd.edu/GlobalFires_HTML/new_checkbox.htm MODIS] University of Maryland real-time fire product or the NOAA [http://cimss.ssec.wisc.edu/goes/burn/wfabba.html ABBA GOES] University of Wisconsin hourly fire locations. Daily Micro-Pulse Lidar (MPL) images will be picked up from the NASA Goddard [http://mplnet.gsfc.nasa.gov/ MPLNet] website. A significant new source of vertical aerosol profiles is the [http://virl.gsfc.nasa.gov/glas/atmos.html 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
  
<font color="#000080">''Template: Identify the actors in the scenario. Actors are any persons involved in the scenario.''</font><br>
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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)’.  
* Data Providers
 
* Data Mediators and Processing Centers
 
* Data Analysts
 
* Decision-Makers: Public, Regulators, Scientists
 
  
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The useful, integrated derived data products will be developed from the following data combinations:
  
<font color="#000080">''Template: List, at a summary level, the specific information assumed to be available before the scenario begins. ''</font><br>
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* Spatial Pattern: Primary PM2.5, ASOS, MODIS and TOMS Satellite
* Near-Real Time Monitoring Data from dedicated Surface, Upper Air and Satellite sensors
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* Temporal Pattern: PM2.5, ASOS, GOES satellite
* Semi-quantitative information on smoke harvested from Public information sources 
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* Vertical Pattern: MPL lidar, GLAS lidar, PM/ASOS comparison to MODIS AOT, AERONET AOT
* Initial Model simulations of smoke emission, transport/transformation/removal
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* Source Identification: Satellite, Forward/back trajectories, spatio-temporal source signatures
* Integrated Datasets suitable for assimilation into forecast models for improving predictions
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* Visibility Impact: ASOS, PM2.5 and satellite as surrogate
  
 
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=== Deliverables.===
<font color="#000080">''Template:  List, at a summary level, the specific processing and collaboration functionality assumed needed in the scenario.''</font><br>
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# 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.
* Identification and accessing the relavent monitoring data from dedicated Surface, Upper Air and Satellite sensors
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# Assessment report of the strengths and weaknesses of the real-time data tracking system
* Harvesting the data sources from "other" agencies/organizations, Public contributions of first-hand reports, images, videos...
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# Community summary report on the initial analysis and interpretation of the selected event  
* 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
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# Event data, organized and stored (5+years), suitable for subsequent detailed analysis.
* 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===
 
 
 
<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>
 
<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>
 
# Designated and voluntary observers will use the web-based system to monitor the current aerosol situation over North America and beyond.
 
# The monitoring consists of scanning the spatial, temporal aerosol pattern on the Realtime satellite images, surface monitors, as well as the Public Media and private citizen coverage.  
 
# Once an ‘interesting’ event appears, the observers will explore the pattern of other peripheral data such as weather pattern, trajectories and other monitors to ascertain the emergence of the natural event.
 
# Throughout the event’s emergence, the observers 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.
 
# In response to the trigger, more intense monitoring and analysis is initiated.
 
# As the smoke event evolves, a virtual workgroup of analysts summarizes the initial findings, including sources, transport, aerosol pattern and impact in a simple story and picture book (screencast).
 
# During the smoke event, a multiplicity of decisions and actions are executed for Public, Regulatory and Scientific decision makers. 
 
# Following the smoke event, the event is evaluated for its impact, consequences and possible retrospective analysis.
 

Latest revision as of 19:17, January 28, 2008

<Back to GEOSS AIP Pilot Scenario

FASTNET Smoke Scenario

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.

  1. 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.
  2. 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.
  3. The monitoring consists of scanning the spatial, temporal aerosol pattern on satellite images as well as the time series of point samplers.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. Following the event, the natural event is evaluated and decisions are made if the event warrants more detailed analyses for regulatory, or other purposes.
  12. 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.

  1. 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.
  2. Assessment report of the strengths and weaknesses of the real-time data tracking system
  3. Community summary report on the initial analysis and interpretation of the selected event
  4. Event data, organized and stored (5+years), suitable for subsequent detailed analysis.