NASAROSES RegAQ Groups

capita.wustl.edu/capita/kmz/EE_Networks.png

Core Network for Exceptional Event for Project

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.
SensorWeb - Stefan Falke
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.
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.
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.
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.
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.
EPA OAQPS, EE DSS - Neil Frank
EPA OAQPS, AQS data - 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.

EPA Regional -
States - Rich Poirot
NPS - Bret Schichtel -
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.

Others Interested in Participating

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Co-I's Need to submit

1 pg. biosketch: A one-page sketch for each Co-Investigator must also be included (Note: Any Co-I also serving in one of the three special Co-I categories defined in Section 1.4.2 may use the same two-page limit as for the PI). For the PI and any Co-Is who are required to provide Current and Pending Support information (ref. Section 2.3.8), the biographical sketch must include a description of scientific, technical and management performance on relevant prior research efforts. Those participants who will play critical management or technical roles in the proposed investigation should demonstrate that their qualifications, capabilities, and experience are appropriate to provide confidence that the proposed objectives will be achieved.
Brief Signed letter of commitment:
- "I (we) acknowledge that I (we) am (are) identified by name as Co-Investigator(s) [and/or Collaborator(s)] to the investigation, entitled <name of proposal>, that is submitted by <name of Principal Investigator> to the NASA Research Announcement <alpha-numeric identifier>, and that I (we) intend to carry out all responsibilities identified for me (us) in this proposal. I (we) understand that the extent and justification of my (our) participation as stated in this proposal will be considered during peer review in determining in part the merits of this proposal. I (we) have read the entire proposal, including the management plan and budget, and I (we) agree that the proposal correctly describes my (our) commitment to the proposed investigation.”
Itemized Budget (NRA Proposers's guide pg 35) and basis for cost