Research Needs of ECOinformatics Partners

What do we need?EEA-USEPA Research linkages meeting

September 23, 2004A Perspective from the USEPA Office of Research and Development

Speed and Discontinuities in ScienceMonsantos LawThe amount of useful genetic information doubles every 18-24 months.

Dawkins LawThe cost of sequencing DNA base pairs halves every 27 months.

Consider the Drivers

Speed and Discontinuities in Information TechnologyMetcalfes LawConnect any number nof machines whether computers, phones or even cars - and you get n squared potential value.

Moores LawThe logic density of silicon integrated circuits doubles every 18 monthsConsider the Drivers

2004 to 2009 Displays = Moores Law30X Storage = 1.5Xs Moores Law45XBandwidth = 2Xs Moores Law60XCPUs = 2-3Xs Moores Law60-90XConsider the Advances at theDesktop

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

A Dynamic ApproachPick a complex environmental problem where new approaches are neededIdentify the advanced science, data and and IT/IM tools and who has them; build partnerships to bring them togetherSet an ambitious schedule to accomplish a Proof-of-Concept where the new science is shown to improve policies or decisions

A Dynamic ApproachPick a complex environmental problem where new approaches are neededIdentify the advanced science, data and and IT/IM tools and who has them; build partnerships to bring them togetherSet an ambitious schedule to accomplish a Proof-of-Concept where the new science is shown to improve policies or decisions

A Dynamic ApproachPick a complex environmental problem where new approaches are neededIdentify the advanced science, data and and IT/IM tools and who has them; build partnerships to bring them togetherSet an ambitious schedule to accomplish a Proof-of-Concept where the new science is shown to improve policies or decisions

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

A Virtual Center of Excellence for Environmental Computational ScienceFocus 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)

A Virtual Center of Excellence for Environmental Computational ScienceFocus 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

A Virtual Center of Excellence for Environmental Computational ScienceFocus 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 desksBuild the capacity/knowledge to use the data & tools at all levels -- EPA/State/local/individual

A Virtual Center of Excellence for Environmental Computational ScienceFocus 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 desksBuild 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

A Virtual Center of Excellence for Environmental Computational ScienceFocus 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 desksBuild 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 partnersUse Portal and Grid Technology to reach the users & facilitate solving the complex problems

A Virtual Center of Excellence for Environmental Computational ScienceBring advanced IT/IM R&D as added capabilities to the Scientists and Policy Makers desksVisualizationCollaboration application sharing over distancesSpecialized PortalsGrid TechnologyA Desktop ComputerOffice of the Future

A Virtual Center of Excellence for Environmental Computational ScienceBring advanced IT/IM R&D as added capabilities to the Scientists and Policy Makers connectivityHigh-End Computational CapacityHigh Capacity Data Transfer Data Manipulation (GIS, Statistics, etc)Data StorageData Throughput

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 yearScience subnet and grid computing have been launched in just six months through the Air Quality PilotPrototype Science Portal completed and demonstrated at EPA Science ForumHigh-end systems for Scientific Office of the Future designed through MOU and scheduled for benchmarking by end of August

Initiatives within CoE Air Quality Pilots with StatesAssisting States in Implementation of TMDLsAquatic Analytical Comparison PartnershipMetabonomics Research Center/Data NodePathogen Contamination Forecasting on BeachesThe Sustainable Environment for Quality of Life (Community Planning)Public Health and Air Surveillance Evaluation

Science Initiatives within CoE

Science Initiatives - ProgressAir Quality Pilots Drive Grid DevelopmentPilot projects aimed at transferring tools and products to state agencies for their use in air quality predictions and forecasts. CMAQ optimizationsRun-time optimizations have been integrated into the CMAQ codes that were identified through the Sandia collaborationNYSDEC: NY States 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

Science Initiatives - ProgressAir Quality Pilots Drive Grid DevelopmentPilot projects aimed at transferring tools and products to state agencies for their use in air quality predictions and forecasts. Center of Excellence Initiatives and ToolsCOE 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 EPAs Grid has been completed.NCDAQ: North Carolina has used the science subnet to transfer models and results to their site

Giving Policy Makers & Scientists the IT/IM Tools How can I keepup with all theGenomics Data? How can I easilymake my dataavailable to others?What analysistools can I use with my data?What data exists onair pollutants and theireffects in this city?Where can I findapplication servicesfor my ecosystem?

Center of Excellence for Environmental Computational ScienceFY05 GoalsSelected scientific databases and models meet interoperability requirementsA wizard is developed to seamlessly access and manipulate databases to address complex water quality problemsA second search wizard is developed as a prototype for testing

FY06 GoalsWizards are developed forPattern recognition searchesRoutine statistical analysisRoutine GIS analysis and mappingSeamlessly making models and model databases able to be integrated in frameworks Plug n Play Center of Excellence for Environmental Computational Science

Develop Knowledge Base for Scientific DataAdopt Interoperability Standards under the GEOSSDemonstrate plug n play on several important EPA databases and modelsSet policies for managing, retiring, and archiving data and update guidelines for model evaluationsUndertake 10 additional proof of concept pilots Partner with EEA

SummaryEPAs Focus2005 to 2006

MAJOR MESSAGE:

Pilots highlighted in green are ongoing; major milestones will be completed by end of FY05 or sooner. MAJOR MESSAGES:

NY, NC and WRAP are all using optimized CMAQ and helping us to further evaluate the model operating under different scenarios.Already known: OAQPS is using optimized CMAQ for the Interstate Rule.MAJOR MESSAGE

NY, NC and WRAP are all using the new IT infrastructure put in place during the last 6 months; NY and WRAP are using IBM eServer cluster; NY, WRAP and NC are using science subnet[Science subnet is ftp server right now, but is quickly being expanded to full fledged subnet.]MAJOR MESSAGE

TMDL Knowledge Base and Regional Aquatic Analytical Comparison (Region 5) pilots will be the major contributors for meeting the CoE FY05 and FY06 goals MAJOR MESSAGE

TMDL Knowledge Base and Regional Aquatic Analytical Comparison (Region 5) pilots will be the major contributors for meeting the CoE FY05 and FY06 goals