Difference between revisions of "NASA ROSES08: Regulatory AQ Applications Proposal- Technical Approach"
Line 1: | Line 1: | ||
{{NASAROSES_AQ_Backlinks}}<br> | {{NASAROSES_AQ_Backlinks}}<br> | ||
+ | As the main body of the proposal, this section should cover the following material: | ||
+ | * Objectives of the proposed activity and relevance to NASA’s Strategic Goals and Outcomes given in Table 1 in the Summary of Solicitation of this NRA; | ||
+ | * Methodology to be employed, including discussion of the innovative aspects and rationale for NASA Earth research results to be integrated; | ||
+ | * Systematic approach to integrate Earth science results into the decision-making activity (existing or new) and to develop and test the integrated system and address integration problems (technical, computational, organizational, etc.); | ||
+ | |||
+ | Approach to quantify improvements in the system performance, including characterization of risk and uncertainties; | ||
+ | * Approach to quantify (or quantitatively estimate) the socioeconomic value and benefits from the resulting improvements in decision-making; | ||
+ | * Challenges and risks affecting project success (technical, policy, operations, management, etc.) and the approach to address the challenges and risks; and | ||
+ | * Relevant tables/figures that demonstrate key points of the proposal. | ||
+ | |||
+ | Proposals seeking to create a new decision-making activity should describe the tool, system, assessment, etc. in detail, including the decision analysis, factors, unique roles for Earth science research results, and other pertinent information. | ||
== Summary == | == Summary == |
Revision as of 12:58, June 16, 2008
Air Quality Cluster > Applying NASA Observations, Models and IT for Air Quality Main Page > Proposal | NASA ROSES Solicitation | Context | Resources | Schedule | Forum | Participating Groups
As the main body of the proposal, this section should cover the following material:
- Objectives of the proposed activity and relevance to NASA’s Strategic Goals and Outcomes given in Table 1 in the Summary of Solicitation of this NRA;
- Methodology to be employed, including discussion of the innovative aspects and rationale for NASA Earth research results to be integrated;
- Systematic approach to integrate Earth science results into the decision-making activity (existing or new) and to develop and test the integrated system and address integration problems (technical, computational, organizational, etc.);
Approach to quantify improvements in the system performance, including characterization of risk and uncertainties;
- Approach to quantify (or quantitatively estimate) the socioeconomic value and benefits from the resulting improvements in decision-making;
- Challenges and risks affecting project success (technical, policy, operations, management, etc.) and the approach to address the challenges and risks; and
- Relevant tables/figures that demonstrate key points of the proposal.
Proposals seeking to create a new decision-making activity should describe the tool, system, assessment, etc. in detail, including the decision analysis, factors, unique roles for Earth science research results, and other pertinent information.
Summary
A description of the key, central objectives of the proposal in terms understandable to a nonspecialist;
A concise statement of the methods/techniques proposed to accomplish the stated research objectives; and
- Fan-in/Fan-out Architecture
- Service Oriented Architecture
- Application to primary and reused in secondary DSS's
A statement of the perceived significance of the proposed work to the objectives of the solicitation and to NASA interests and programs in general.
- Better air quality management decisions
- Wider distribution of NASA products
- Demonstration of GEOSS concept
Architecture
The design philosophy is of fan in-fan out. Any data is applicable to multiple benefit areas. Any benefit area needs multiple data.
Primary Decision-Support Systems
- DataFed - Husar - Exceptional Events. Fan in: 50 States -> 10 EPA Regions -> 1 Federal EPA. Each transmits different pieces of information and we need to determine those pieces.
Exceptional Events are distributed in space, need a wide variety of data and include a variety of people therefore they are good candidates for the modern decision-support systems. Because fan in - fan out data flow architecture is so broad it can help other decision support application areas.
Other Decision-Support Systems
Same fan in - fan out data flow architecture can be used for different decision-support systems.
- VIEWS - Brett/Shawn - Regional Haze
- BlueSky - Sean - Smoke
- BAMS - McHenry - Air Quality Forecasting for the public
- HTAP - Keating - Hemispheric Transport Policy