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GLEON: Catalyzing Global Team Science for Lake Ecosystems

Learn about GLEON, a global network of lake scientists and experts using grid technologies to study lake ecosystems worldwide. Through collaborations like PRAGMA, GLEON aims to understand and predict lake dynamics at various scales. Join us in advancing lake ecology research!

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GLEON: Catalyzing Global Team Science for Lake Ecosystems

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  1. Global Lake Ecological Observatory Network - GLEON:Catalyzing Global Team Science based on PRAGMA Peter Arzberger Tim Kratz, Fang-Pang Lin Philip Papadopoulos, Mason Katz Gabriele Wienhausen, Linda Feldman And many more 15 July 2006

  2. Yuan-Yang Lake Ecosite ~900MHz RF Dong Hwa Tower Source Fang-Pang Lin

  3. Lake Metabolism Website http://lakemetabolism.org

  4. Typhoon causes water column mixing Mixing event Wind Speed Precipitation (mm/5 minutes) Source: Tim Kratz

  5. Typhoons reset algal community composition in Yuan Yang Lake Relative Abundance of major algal groups Date (2004) Typhoon Typhoon Typhoon Data courtesy of Dr. J.T. Wu, Academia Sinica

  6. Access can be difficult during the most interesting times Photo by Peter Arzberger, October 2004 Typhoons: Other Outcomes

  7. PRAGMA’s Founding Motivations • Science is an intrinsically global activity • The grid is transforming e-science: • computing, data, andcollaboration • The problem remains that the grid • is too hard to use on a routine basis • Middleware software and people need to • interoperate

  8. PRAGMA Overarching Goals Establish sustained collaborations and Advance the use of the gridtechnologies for applications among a community of investigators working with leading institutions around the Pacific Rim Working closely with established activities that promote grid activities or the underlying infrastructure, both in the Pacific Rim and globally. http://www.pragma-grid.net

  9. PRAGMA Grid Testbed JLU China UZurich Switzerland BU USA CNIC China KISTI Korea SDSC USA NCSA USA AIST OSAKAU TITECH Japan KU NECTEC Thailand ASCC NCHC Taiwan CICESE Mexico UoHyd India IOIT-HCM Vietnam UNAM Mexico MIMOS USM Malaysia QUT Australia BII IHPC NGO Singapore UChile Chile MU Australia

  10. CCGrid - Singapore16 – 19 May 2006 • Abramson D, Lynch A, Takemiya H, Tanimura Y, Date S, Nakamura H, Jeong K, Hwang S, Zhu J, Lu ZH, Amoreira C, Baldridge K, Lee H, Wang C, Shih HL, Molina T, Li, W, Arzberger P. Deploying Scientific Application on the PRAGMA Grid Testbed: Ways, Means and Lessons. CCgrid 2006 • Lee B-S, Tang M, Zhang J, Soon OY, Zheng C, Arzberger P. Analysis of Jobs on a Multi-Organizational Grid Test-bed. CCGrid 2006. • Huang W, Huang C-L, Wu, C-H., The Development of a Computational Grid Portal. Accepted CCGrid 2006. • Zheng C, Abramson D, Arzberger P, Ayuub S, Enticott C, Garic S, Katz M, Kwak J, Papadopoulos P, Phatanapherom S, Sriprayoonsakul S, Tanaka Y, Tanimura Y, Tatebe O, Uthayopas P. The PRAGMA Testbed: Building a Multi-Application International Grid CCGrid 2006. More information at www.pragma-grid.net

  11. PRIME: Providing Students International Interdisciplinary Research Internships and Cultural Experiencespreparing the global workplace of the 21st century • Computer Network Information Center (CNIC), Chinese Academy of Sciences • Cybermedia Center (CMC), Osaka University, Japan • Monash University, Australia • National Center for High-performance Computing (NCHC), Taiwan

  12. PRIUS: Pacific Rim International UniverSitiesOsaka University http://prius.ics.es.osaka-u.ac.jp/en/index.html • Exchange among • PRAGMA Sites • Lectures from • PRAMGA members PRAGMA 11 Oct 2006 – to expand PRIUS

  13. PRAGMA Future Meetings • PRAGMA 11 • Osaka University, Japan, approx. 15 – 17 October 2006 • Preparing Future Generations; in conjunction with PRIUS program • PRAGMA 12 • NECTEC, Kasetsart University, Thailand, Spring 2007 • Advancing Collaborations with ThaiGrid • PRAGMA 13 • NCSA, Illinois, USA, Fall 2007 • PRAGMA Engagements in Cyberenvironments • PRAGMA 14 • NCHC, Taiwan, Spring 2008 • Living Grids; Held in conjunction with Taiwan Grid Activities

  14. Towards a Global Lake Ecological Observatory Network Tim Kratz Director, Trout Lake Station Center for Limnology University of Wisconsin-Madison Yuan Yang Lake, Taiwan ; photo by Matt Van de Bogert

  15. Many lakes are supersaturated in CO2 Mirror Lake, New Hampshire Lake Air From Cole, J. J., N. F. Caraco, G. W. Kling, and T. K. Kratz. 1994. Carbon dioxide supersaturation in the surface waters of lakes. Science 265:1568-1570 Source: Tim Kratz

  16. Of 4665 samples from 1835 lakes worldwide, 87% were supersaturated Why? From Cole, J. J., N. F. Caraco, G. W. Kling, and T. K. Kratz. 1994. Carbon dioxide supersaturation in the surface waters of lakes. Science 265:1568-1570 Source: Tim Kratz

  17. What is the “Global Lake Ecological Observatory Network?” A grassroots network of People: lake scientists, engineers, information technology experts Institutions: universities, national laboratories, agencies Programs: PRAGMA, AS-Forest Biogeochemistry,US-LTER, TERN, KING, EcoGrid, etc. Instruments Data Linked by a common purpose and cyberinfrastructure With a goal of understanding lake dynamics at local, regional, continental, and global scales March 2005 Source: T. Kratz

  18. Vision and Driving Rationale for GLEON • A global network of hundreds of instrumented lakes, data, researchers, students, • Predict lake ecosystems response to natural and anthropogenic mediated events • Through improved data inputs to simulation models • To better plan and preserve freshwater resources on the planet

  19. Programs -Australia -Canada -China -Finland -Florida -New Zealand -Israel -South Korea -Taiwan -United Kingdom -Wisconsin 1st: San Diego Mar. 7-9, 2005 Steering Committee -Peter Arzberger, UCSD, USA -David Hamiltion, University of Waikato, New Zealand -Tim Kratz, University of Wisconsin, USA -Fang-Pang Lin, NCHC, Taiwan 2nd:Townsville Mar. 28-29, 2006 Source: T. Kratz

  20. Agreement on specific lake analysis Agreement on data collection from coral reef Demonstrations of technologies Agreement of future meetings Second GLEON and CREON Workshop: Townsville AU 28 – 29 March 2006 Third Meeting in Taiwan 3 – 4 October 2006

  21. Scalable instrumentation and cyberfrastructure is critical We can do this scale now http://lakemetabolism.org Source: Tim Kratz

  22. Scalable instrumentation and cyberfrastructure is critical lakemetabolism.org Source: Tim Kratz Problematic, but possible with today’s cyberinfrastructure

  23. Not currently possible Scale needed to answer regional/continental questions

  24. Addressing the Scaling ChallengeNSF NEON Award • Collaborative Research: Automating Scaling and Data Processing in a Network of Sensors: Towards a Global Network for Lake Metabolism Research and Education • UCSD, UWI, IU, SUNY-Binghamton • Automate • Instrument management • QA/QC and Event Detection • Service Oriented Architecture • Broaden Involvement of Students

  25. Building Community Based, Grass-Roots Research Networks: The Cases of Global Lake Ecological Observatory Network (GLEON) and ofCoral Reef Ecological Observatory Network (CREON) • Develop a robust, persistent infrastructure and interface for data sharing and analysis • Assist specific sites in establishing monitoring systems to produce data • Hold a series of working meetings and engage other network projects A proposal to

  26. Generalize Site-level architecture Sensors Buoy 1 Buoy N ………. Data Ingestion System Data Stream Workflows QA/QC QA/QC … QA/QC Transform Transform Transform Event Detection Mining Raw data S 1 ………. S L S 1 …. S k S 1 ……. S M Data Integration System Analysis and Modeling System Real-time Active Data Warehouse Command and Control Site Services Interface Site Cyberdashboard/Portal Network-Level Applications Network-Level Applications Network-Level Applications Source: Tony Fountain

  27. Network Level Conceptual Architecture Analysis and Modeling System Real-time Active Data Warehouse Site Services Interface Analysis and Modeling System Real-time Active Data Warehouse Site Services Interface Analysis and Modeling System Real-time Active Data Warehouse Site Services Interface Network-Level Applications Network-Level Cyberdashboard/Portal Source: Tony Fountain

  28. Agreement on specific lake analysis Agreement on data collection from coral reef Demonstrations of technologies Agreement of future meetings Second GLEON and CREON Workshop: Townsville AU 28 – 29 March 2006 GLEON and CREON Third Workshop, Taiwan, 3 – 4 October 2006

  29. References • Kratz, Timothy K., Peter Arzberger, Barbara J. Benson, Chih-Yu Chiu, Kenneth Chiu, Longjiang Ding, Tony Fountain, David Hamilton, Paul C. Hanson, Yu Hen Hu, Fang-Pang Lin, Donald F. McMullen, Sameer Tilak, Chin Wu. (in press). Toward a Global Lake Ecological Observatory Network. Proceedings of the Karelian Institute. • Porter, J., P. Arzberger, H. Braun, P. Bryant, S. Gage, T. Hansen, P. Hanson, F. Lin, C. Lin, T. K. Kratz, W. Michener, S. Shapiro, and T. Williams. 2005. Wireless sensor networks for ecology. Bioscience 55:561-572. • Sensors for Environmental Observations, National Science Foundation Workshop Report (Seattle WA, Dec 2004) 2005 http://www.wtec.org/seo

  30. Future Activities • Link together a collection of networks • Work with partners in PRAGMA: NCHC, NECTEC, NARC, and others U Waikato, NIGLAS, … • Create test bed for sensors and sensor network

  31. New Paradigm: Global Team Science Kangwon U B.Kim Maintain Soyang Public Policy U.Wisconsin T.Kratz Maintain Trout Bog Lake Metabolism NCHC F.P.Lin Maintain YYL Parallelize Codes UCSD F.Vernon, S.Peltier, T.Fountain P.Arzberger ROADNet, Telescience Moore Fnd, PRAGMA NIGLAS B.Q Qin Maintain Taihu Physical Limnology U.Waikato D.Hamilton Models

  32. PRAGMA Philip Papadopoulos (UCSD) Mason Katz, Wilfred Li, Kim Baldridge, Tomas Molina, Cindy Zheng Fang-Pang Lin (NCHC) And many others at all 28 institutions, in particular the Steering Committee GLEON Tim Kratz (U WI) David Hamilton (U Waikato) Fang-Pang Lin (NCHC) And others at 10 other sites CREON Sally Holbrook (UCSB) Stuart Kininmonth (AIMS) PRIME Gabriele Wienhausen Linda Feldman All Host sites and students PRIUS Shinji Shimojo (Osaka) Susumu Date (Osaka) CAMERA Larry Smarr Paul Gilna NSF Bill Chang Many others Gordon and Betty Moore Foundation National Institutes of Health Acknowledgements

  33. Education & Capacity Building Sustained Collaboration • Build teams and • trust • Develop human resources Science Drivers Enabling Technology • Advance science • Focus development Persistent Infrastructure • Broaden impact e-science’s New Frontier: Merging of Science and Information Technology – GLEON and PRAGMA’s Activities Previously Unobtainable Observations and Understanding

  34. 2020 Vision for the National Science Foundation • Strategic Priority 1: Ensure the Nation maintains a position of eminence at the global frontier of fundamental and transformative research, emphasizing areas of greatest scientific opportunity and potential benefit. • Strategic Priority 2: Sustain a world-class S&E workforce and foster the scientific literacy of all our citizens. • Strategic Priority 3: Build the Nation’s basic research capacity through critical investments in infrastructure, including advanced instrumentation, facilities, cyberinfrastructure, and cutting-edge experimental capabilities. http://www.nsf.gov/pubs/2006/nsb05142/nsb05142.pdf

  35. Characteristics Transformative in understanding complexity of natural and human environments NSF Environmental Observing Systems • Geographically distributed infrastructure connected via cyberinfrastructure into national observatory network • Apply emerging technologies (sensor, analytical, communication, information) to investigate the structure, dynamics, and evolution of systems in the United States and forecast change.   New collaborative environments (simulation, computation, visualization, and knowledge systems) are needed to facilitate the integration of research, education, and dialog across a wide range of biological, geophysical, and social sciences. Data repositories and facilities for synthesis and prediction Source: Liz Blood

  36. Sensor networks allow high frequency observations over broad spatial extents Existing Sensor Networks 100 km 10 km Spatial extent 1 km 100 m 10 m random selection from Ecology 2003 1 m 10 cm Annual Monthly Weekly Daily Hourly Min. Sec. Frequency of measurement Source: John Porter et al., Bioscience, 2005

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