Group B1 – AQ Forecasting and Reanalysis for Assessment
From Federation of Earth Science Information Partners
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Contents |
[edit] Attendees
- Bill Lamason
- Brad Johns
- David Mintz (Notes2)
- Dirk Felton
- Jay Al-Saadi
- Jim Szykman
- Joe Retzer
- Jon Miller (Notes1)
- Mike Gilroy (Co-Chair)
- Nancy Ritchey
- Phil Dickerson
- Sharon Leduc
- Shawn McClure
- Stefan Falke
- Tim Dye (Co-Chair)
- Todd Plessel
- Wayne Faas
[edit] Session Questions
[edit] Current Business Uses and Users
Who are example important business users and what do they want to DO with the data and why? If they were here, what three things would they tell us to focus on now?
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[edit] Future Business Uses and Users
What trends/needs do you see, or do your users tell you about for future business uses? Where is/could this go, even if all your users are not thinking about it/asking yet?
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[edit] IT Issues
What are broad data needs and capabilities to support these uses? What are the gaps and opportunities? What do these needs and capabilities require of US as a community of providers?
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[edit] Non-Technical Issues
What are key non-IT requirements and challenges to delivering those needs/capabilities? What do WE need to do as individual resources and as a community? Examples of what we mean by non-IT: Security: that agency policy around access is unclear, or there is no incentive to work through the process for approval to get access. Don't want a discussion of gaps in joint authentication mechanisms; Discovery: that we lack a common way to describe data resources and an incentive to register them. Don't' want a discussion of UDDI vs. FDGC.
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[edit] Things not discussed
What have we missed in this discussion? (its ok if this is just a list for parking lot lists)
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[edit] Data System Profile
| DataSystemAppFcstReAnaly | |
|---|---|
| 3D-AQS | Not Given |
| AIRNow | AIRNow-Tech is the main technical portal for the forecasters and analysts to query, process, and display air quality and meteorological data. Typical types of applications include:
|
| CASTNET | CASTNET data from 35 sites are currently submitted to AIRNow. The remainder of network sites are planned for submission in 2008. |
| CMAQ | The US EPA and other organizations run CMAQ in near “real-time” to provide daily forecasts of air quality based on model predictions of ozone and PM2.5 |
| DataFed | A current NASA project with [http://groups.google.com/group/nasa-aq-forecast BAMS] uses DataFed to assimilate surface obs. into a forecast model. We are not aware of any formal Air Quality Reanalysis effort; hopefully, thee community will |
| EMF | Feed emissions for air quality modeling for the purposes of air quality forecasting |
| EPA AIRQuest Data Warehouse | Not Given |
| EPA AQS | To my knowledge, this data is not used in forecasting. |
| ESIP | Not Given |
| GIOVANNI | MERRA: MODERN ERA RETROSPECTIVE-ANALYSIS FOR RESEARCH AND APPLICATIONS (1979 – 2008) NASA reanalysis of atmospheric observations from using GEOS-5, focusing on hydrological cycle, resolution 1/2x2/3x72 |
| GeoWeb | Not Given |
| HEI | Yes, based on existing user community |
| NARSTO | No. |
| NASA Atmospheric Science Data Center | Atmospheric profiling and vertical structure |
| NEISGEI | Not Given |
| RSIG | Not Given |
| Unidata IDD Data System | Most of the operational weather forecasts are available in real-time as are many regional and local forecasts generated at user sites. These can be coupled with plume dispersion, storm surge, hydrological, wild fire, and other models. |
| VIEWS | The Regional Haze Rule (RHR) goals include achieving natural visibility conditions at 156 Federally mandated Class I areas by 2064. In more specific terms, that RHR goal is defined as (1) visibility improvement toward natural conditions for the 20% of days that have the worst visibility and (2) no worsening in visibility for the 20% of days that have the best visibility. One component of the states’ demonstration to EPA that they are making reasonable progress toward this 2064 goal is the comparison of modeled visibility projections for the first milestone year of 2018 with what is termed a uniform rate of progress (URP) goal. The 2018 URP goal is obtained by constructing a “linear glide path” (in deciviews) that has at one end the observed visibility conditions during the mandated five-year (2000-2004) baseline period and at the other end natural visibility conditions in 2064; the visibility value that occurs on the glide path at year 2018 is the URP goal. The VIEWS infrastructure has been used to develop two online tools for the WRAP's Technical Support System (TSS) that are designed to help states and tribes forecast future visibility conditions and analyze their progress toward achieving natural visibility conditions by 2064. The [http://vista.cira.colostate.edu/TSS/Results/HazePlanning.aspx Monitoring Glide Slope Tool] allows users to view the glide slope information, and the [http://vista.cira.colostate.edu/TSS/Results/HazePlanning.aspx Visibility Projection Tool] displays RHR glide slope information in addition to model-based visibility projections for the 2018 reasonable progress milestone. Additional information on how the data in the VIEWS integrated database is used by the TSS tools to project future visibility conditions and assess reasonable progress towards future visibility goals can be found in the [http://vista.cira.colostate.edu/docs/wrap/Modeling/AirQualityModeling.doc TSS Air Quality Modeling document]. |
