1 Before we begin the Tech Infusion process discussions, a few questions On the the Context of SEEDS Tech Infusion R. Husar, The questions are stated on relevant PPT slides collected from from various ESE presentations Each question is in a yellow box at the bottom of the slide

2 SEEDS Mission: To establish an evolution strategy and coordinating activities to assure the continued effectiveness of ESE data management systems and services. SEEDS Objectives: Ensure timely delivery of Earth Science information at an affordable cost. Maximize availability and utility of ESE products. Engage the community on data management issues, objectives, and solutions. Enable the development of flexible systems to readily accommodate evolving products and services. The recent Research, Application, and Education Solutions Network (REASoN) cooperative agreement is the first implementation of the SEEDS framework. The Strategic Evolution of ESE Data Systems - SEEDS Background info. No question

3 SEEDS Overview SEEDS Objectives 1. Ensure timely delivery of Earth Science information at an affordable cost. 2. Maximize availability and utility of ESE products. 3. Engage community on data management issues, objectives, and solutions. 4. Enable the development of flexible systems to readily accommodate evolving products & services. SEEDS Mission Establish evolution strategy and coordinating activities to assure continued effectiveness of ESE data management systems & services. Sustain & Apply Unifying Framework of Core Standards & Guidelines Format & Interface Standards & Processes Levels of Service Guidelines Data Lifecycle Planning Procedures Metrics Planning & Reporting Guidelines Foster Technology Evolution Provide Cost Estimation Tool * Carry Out IT Prototyping & Infusion Carry Out Software Reuse Initiatives Sustain Community Involvement Conduct Community Workshops Support Four Working Groups * Brief Science Committees & Organizations Support HQ Initiatives to Fund Distributed Providers of Products & Services Utilize SEEDS Paradigm Address Thematic Science Questions for Research, Education and Applications Support REASoN CAN Management * Support ESE Data Systems Evolution Planning Address key ESE data systems goals Coordinate data system evolution with implementing projects * Lead coordination/planning with national & international partners Support Transition to Measurement-Focused Paradigm Sustain and Apply Cost Estimation Tool * SEEDS Coordinating Responsibilities Background info. No question

4 Drivers of Evolving Data & Info Systems Missions to Measurements ESE is moving from mission-based data systems to those that focus on Earth science measurements. ESE’s DIS will be a resource for science-focused communities enabling research, and will be flexible, scalable and suited for the particular community needs. Continue on the pathways for acquiring observations to understand processes and develop Earth system models. The Advance of Information Technologies NASA will remain at the forefront of IT development and will partner with other agencies to ensure the strategic use of IT resources to avoid obsolescence and enable enhanced performance. The lowering cost of IT infrastructure enables ESE data systems to take advantage of improving computation, storage and network capabilities. Facilitate the Transition from Research to Operations Work with Federal partners to transition operational elements of data systems to other agencies while maintaining core data system functions necessary for conducting NASA ESE mission and goals. Refocus from Missions to Measurements ??? What are ES measurements? Why not from missions to science questions? Or ES problems?

5 IT Tech infusion into which of 6 ESE science foci? Some sciences? Infrastructure for all? Enabling tech?

6 Applications of National Priority Agricultural Efficiency Air QualityInvasive Species Water Management Disaster Management Coastal Management Homeland Security Carbon Management Aviation Safety Energy Forecasting Public Health Ecological Forecasting From Tech Infusion point of view, are all applications equal? The current Reason CAN projects only cover a subset of apps Obviously, Air Quality is by far the most important one

7 Integrated System Solutions Value & benefits to citizens and society Data Policy Decisions Management Decisions Predictions Observations High Performance Computing, Communication, & Visualization Decision Support Tools -Assessments w/ dynamic scenario ability -Decision Support Systems Monitoring & Measurements -Satellite - Airborne - in situ Science Models -Oceans- Ice -Land- Coupled -Atmosphere InputsOutputs OutcomesImpacts Standards & Interoperability Within NASA - SEEDS Outside NASA – Not SEEDS Is SEEDS the Glue/Pipe??

8 Flight Operations, Data Capture, Initial Processing, Backup Archive Data Transport to DAACs Science Data Processing, Info Mgmt, Data Archive, & Distribution Distribution, Access, Interoperability, Reuse Spacecraft NASA Integrated Services Network (NISN) Mission Services WWW Value-Added Providers Interagency Data Centers Int’l Partners & Data Centers Data Acquisition Ground Stations Tracking & Data Relay Satellite (TDRS) Research Users Education Users Science Teams Data Processing & Mission Control Polar Ground Stations Data System Architecture DAACs - EOSDIS ESIPs REASoNs with ESIPs & REASoNs And this is how we can actually do it? With arrows (and bow )?

9 Data System Architecture DAACs - EOSDIS ESIPs REASoNs with ESIPs & REASoNs Slide 17 Slightly Simplified OK, DAACs are are the primary sources of raw ESE data So, is SEEDS the facilitator between the DAACs and the immediate user layer? Research Users Education Users Value-added Providers International Data Centers Interagency Data Centers Science Data Processing & Info Management, Archive, Distribution, Access, Reuse SEEDS? Data Acquisition Data Flow Through the Value Chain outside NASA SEEDS This is a reformatted subset of slide 8!!

ERBS Integrating Global Measurements Terra Aqua Grace IceSat QuikScat Sage SeaWinds TRMM Toms-EP UARS Jason Landsat 7 SORCE SeaWiFS ACRIMSAT TOPEX/Poseidon EO-1 SEEDS is NOT to focus on individual missions (!?!) Still, mission projects will continue to exist? Is SEEDS to help extend the data usage from missions? Is SEEDS connection to missions through DAACS?

11 Turning Observations Into Knowledge Products Were are we (REASoN) along the data-to-knowledge dimension?? Seeds does not deal with advanced sensors, right? Is infusion most vital in processing/analysis or in synthesis? (I think synthesis is most in need of software and ‘intellectual’ technologies

12 Evolving EOSDIS Elements Evolve data systems to achieve “stability with innovation”. Current Data System Context EOSDIS operation volumes include: – 2,178 unique data products – 4.5TB of daily ingest – 2TB of daily distribution – Over 2 million distinct users for 2003 Approach to system evolution Work with the ESE advisory committee (ESSAAC) to develop a plan for the way forward (plan expected within a year). Identify which current systems and functions need to evolve, e.g., bandwidth and storage capacity Work with the community (e.g. REASoN) to implement changes What is the EOSDIS and SEEDS (NEWDIS) Relationship? Tight co-evolution? REASoN-to-EODIS tech transfusion? Use EOSDIS as a data server and build the SEEDS technologies on top of EODIS?

13 Federation Contributions to the Evolution of EOSDIS The Federation has contributed to existing DIS capabilities through prototyping, partnering and implementation activities. Access and Interoperability -OpenDAP (A data protocol that has allowed the science community to be active participants in a distributed data infrastructure - interconnecting DAACs, ESIPs and others) -ESML (The Earth Science Markup Language provides a means for describing disparate data types to enhance search and service capabilities.) Data Analysis and Processing Tools -GIS-friendly formats (ESIPs offering data converted into GIS formats enabling rapid use of ESE data.) -Search, Discover and Order (Several new data portals where user communities can easily obtain the particular data needed - this has been very successful in the land research communities.) -Prototypes for Exploring Emerging Capabilities (Subsetting, reprojection, and aggregation; data mining and discovery tools). Federation Technologies to be infused through SEEDS? OpenDAP, ESML, GIS-Friendly, DataPortals, Prototypes