Research Needs of ECOinformatics Partners What do we need?

1. EEA-USEPA Research linkages meeting September 23, 2004 Research Needs of ECOinformatics Partners What do we need? A Perspective from the USEPA Office of Research and Development

2. Consider the Drivers Speed and Discontinuitiesin Science Monsanto’s Law The amount of useful genetic information doubles every 18-24 months. Dawkin’s Law The cost of sequencing DNA base pairs halves every 27 months.

3. Consider the Drivers Speed and Discontinuitiesin Information Technology Metcalfe’s Law Connect any number “n”of machines – whether computers, phones or even cars - and you get “n” squared potential value. Moore’s Law The logic density of silicon integrated circuits doubles every 18 months

4. Consider the Advances at theDesktop 2004 to 2009 Displays = Moore’s Law 30X Storage = 1.5X’s Moore’s Law 45X Bandwidth = 2X’s Moore’s Law 60X CPU’s = 2-3X’s Moore’s Law 60-90X

5. Consider the Decision Maker EDX is great. Will it soon include the scientific data that I also need? I hear that EPA and EEA are partnering with each other. How is this helping me? I think this new data and model could help me. Who can assist me? How can I more easily use this new remote sensed data?

6. A Dynamic Approach Pick a complex environmental problem where new approaches are needed Identify the advanced science, data and and IT/IM tools and who has them; build partnerships to bring them together Set an ambitious schedule to accomplish a “Proof-of-Concept” where the new science is shown to improve policies or decisions

7. A Dynamic Approach Pick a complex environmental problem where new approaches are needed Identify the advanced science, data and and IT/IM tools and who has them; build partnerships to bring them together Set an ambitious schedule to accomplish a “Proof-of-Concept” where the new science is shown to improve policies or decisions

8. A Dynamic Approach Pick a complex environmental problem where new approaches are needed Identify the advanced science, data and and IT/IM tools and who has them; build partnerships to bring them together Set an ambitious schedule to accomplish a “Proof-of-Concept” where the new science is shown to improve policies or decisions

9. A Virtual Center of Excellence for Environmental Computational Science Focus of Center is on bringing scientific advancements and expertise together to solve complex environmental problems

10. A Virtual Center of Excellence for Environmental Computational Science Focus of Center is on bringing scientific advancements and expertise together to solve complex environmental problems: • Draw in cutting edge science, scientific data & potential decision support tools (Partnerships)

11. A Virtual Center of Excellence for Environmental Computational Science Focus of Center is on bringing scientific advancements and expertise together to solve complex environmental problems: • Draw in cutting edge science, scientific data & potential decision support tools (Partnerships) • Bring advanced IT/IM R&D as added capabilities to the Scientists and Policy Makers desks

12. A Virtual Center of Excellence for Environmental Computational Science Focus of Center is on bringing scientific advancements and expertise together to solve complex environmental problems: • Draw in cutting edge science, scientific data & potential decision support tools (Partnerships) • Bring advanced IT/IM R&D as added capabilities to the Scientists and Policy Makers desks • Build thecapacity/knowledgeto use the data & tools at all levels -- EPA/State/local/individual

13. A Virtual Center of Excellence for Environmental Computational Science Focus of Center is on bringing scientific advancements and expertise together to solve complex environmental problems: • Draw in cutting edge science, scientific data & potential decision support tools (Partnerships) • Bring advanced IT/IM R&D as added capabilities to the Scientists and Policy Makers desks • Build the capacity/knowledge to use the data & tools at all levels -- EPA/State/local/individual • Establish “proof-of-concept”with many pilot projects involving many partners

14. A Virtual Center of Excellence for Environmental Computational Science Focus of Center is on bringing scientific advancements and expertise together to solve complex environmental problems: • Draw in cutting edge science, scientific data & potential decision support tools (Partnerships) • Bring advanced IT/IM R&D as added capabilities to the Scientists and Policy Makers desks • Build the capacity/knowledge to use the data & tools at all levels -- EPA/State/local/individual • Establish “proof-of-concept” with many pilot projects involving many partners • Use Portal and Grid Technology to reach the users & facilitate solving the complex problems

15. A Virtual Center of Excellence for Environmental Computational Science Bring advanced IT/IM R&D as added capabilities to the Scientists and Policy Makers desks • Visualization • Collaboration– application sharing over distances • Specialized Portals • Grid Technology • A Desktop Computer—Office of the Future

16. A Virtual Center of Excellence for Environmental Computational Science Bring advanced IT/IM R&D as added capabilities to the Scientists and Policy Makers connectivity • High-End Computational Capacity • High Capacity Data Transfer • Data Manipulation (GIS, Statistics, etc) • Data Storage • Data Throughput

17. Successes within CoE • Several MOUs integrating advanced IT solutions with scientific advancements have been completed or are in process (DOE, NASA, NOAA, IBM) • Four demonstration pilots have been started and will produce results this fiscal year; five other demonstration pilots are scheduled for phased start-up over the next year • Science subnet and grid computing have been launched in just six months through the Air Quality Pilot • Prototype Science Portal completed and demonstrated at EPA Science Forum • High-end systems for Scientific Office of the Future designed through MOU and scheduled for benchmarking by end of August

18. Initiatives within CoE • Air Quality Pilots with States • Assisting States in Implementation of TMDLs • Aquatic Analytical Comparison Partnership • Metabonomics Research Center/Data Node • Pathogen Contamination Forecasting on Beaches • The Sustainable Environment for Quality of Life (Community Planning) • Public Health and Air Surveillance Evaluation

19. Science Initiatives within CoE

20. Science Initiatives - Progress Air Quality Pilots Drive Grid Development Pilot projects aimed at transferring tools and products to state agencies for their use in air quality predictions and forecasts. CMAQ optimizations Run-time optimizations have been integrated into the CMAQ codes that were identified through the Sandia collaboration • NYSDEC: NY State’s computational and modeling infrastructure has been set up for ozone and PM 2.5 predictions; NY State has succeeded in running the optimized CMAQ model on their computational cluster and is running the model daily. • WRAP Affiliates: WRAP Affiliates have succeeded in running the optimized version of CMAQ and have completed model performance evaluations for January and July. • NCDAQ: North Carolina Department of Air Quality has loaded optimized CMAQ and is currently evaluating it on their cluster. • OAQPS: EPA Office of Air Quality Planning and Standards is using optimized CMAQ for the Clean Air Interstate Rulemaking

21. Science Initiatives - Progress Air Quality Pilots Drive Grid Development Pilot projects aimed at transferring tools and products to state agencies for their use in air quality predictions and forecasts. Center of Excellence Initiatives and Tools COE initiatives and computational tools have been instrumental to achieving pilot goals. • NYSDEC:NY State is using EPA IBM eServer cluster and science subnet to pre-process meteorological and emissions inputs. NY has participated in benchmarking the EPA Grid and has run the optimized CMAQ on the Grid. • WRAP Affiliates: WRAP Affiliates are using the EPA IBM eServer cluster and science subnet for model evaluation. An evaluation of EPA’s Grid has been completed. • NCDAQ:North Carolina has used the science subnet to transfer models and results to their site

22. Giving Policy Makers & Scientists the IT/IM Tools How can I keep up with all the Genomics Data? How can I easily make my data available to others? Where can I find application services for my ecosystem? What analysis tools can I use with my data? What data exists on air pollutants and their effects in this city?

23. Center of Excellence for Environmental Computational Science FY05 Goals • Selected scientific databases and models meet interoperability requirements • A “wizard” is developed to seamlessly access and manipulate databases to address complex water quality problems • A second “search wizard” is developed as a prototype for testing

24. Center of Excellence for Environmental Computational Science FY06 Goals • Wizards are developed for • Pattern recognition searches • Routine statistical analysis • Routine GIS analysis and mapping • Seamlessly making models and model databases “able to be integrated” in frameworks – Plug n’ Play

25. SummaryEPA’s Focus—2005 to 2006 • Develop Knowledge Base for Scientific Data • Adopt “Interoperability Standards” under the GEOSS • Demonstrate “plug n’ play” on several important EPA databases and models • Set policies for managing, retiring, and archiving data and update guidelines for model evaluations • Undertake 10 additional “proof of concept” pilots • Partner with EEA