Global Lake Ecological Observatory Network -

GLEON:Catalyzing Global Team Science

based on PRAGMA

Peter ArzbergerTim Kratz, Fang-Pang Lin

Philip Papadopoulos, Mason KatzGabriele Wienhausen, Linda Feldman

And many more

15 July 2006

Source Chi-Yu Chiu and Chin Lin

Yuan-Yang Lake Ecosite

Dong Hwa Tower

~900MHz RF

Source Fang-Pang Lin

Lake Metabolism Website

http://lakemetabolism.org

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20-Aug-04

21-Aug-04

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27-Aug-04

28-Aug-04

29-Aug-04

30-Aug-04

31-Aug-04

Wat

er T

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(C

)

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5

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d S

pee

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m/s

)

Surface Temp (C)

0.5m Temp (C)

1m Temp (C)

1.5m Temp (C)

2m Temp (C)

2.5m Temp (C)

3m Temp (C)

Wind Speed (m/s)

RAIN_FALL

Wind Speed

Precipitation (mm/5 minutes)

Typhoon causes water column mixing

Mixing event

Source: Tim Kratz

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

8-Ju

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22-J

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29-J

ul

5-Aug

12-A

ug

19-A

ug

26-A

ug

ChrysophytesPyrrhophytesGreensDiatomsCryptophytesBluegreens

Typhoon TyphoonTyphoon

Typhoons reset algal community composition in Yuan Yang Lake

Data courtesy of Dr. J.T. Wu, Academia Sinica

Date (2004)

Rel

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of m

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Typhoons: Other Outcomes

Access can be difficult during the most interesting times

Photo by Peter Arzberger, October 2004

PRAGMA’s Founding Motivations

• The grid is transforming e-science: computing, data, and collaboration

• The problem remains that the grid is too hard to use on a routine basis

• Middleware software and people need to interoperate

• Science is an intrinsically global activity

http://www.pragma-grid.net

Establish sustained collaborations

and

Advance the use of the grid technologies for applications

among a community of investigators working with leading institutions around the Pacific

Rim

Overarching GoalsPRAGMA

Working closely with established activities that promote grid activities or the underlying infrastructure,

both in the Pacific Rim and globally.

Cindy Zheng, Geon Workshop, 7/20/2006

PRAGMA Grid TestbedPRAGMA Grid Testbed

AISTOSAKAUTITECHJapan

CNICChina

KISTIKorea

ASCCNCHCTaiwanUoHyd

India

MUAustralia

BIIIHPCNGO

Singapore

KUNECTECThailand

NCSAUSA

SDSCUSA

CICESEMexico

UNAMMexico

UChileChile

QUTAustralia

UZurichSwitzerland

JLUChina

MIMOSUSM

Malaysia

IOIT-HCMVietnam

BUUSA

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

PRIME: Providing Students International Interdisciplinary Research Internships and Cultural Experiences

preparing 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

PRIUS: Pacific Rim International UniverSitiesOsaka University

•

• Exchange among PRAGMA Sites• Lectures from PRAMGA members

PRAGMA 11Oct 2006 –

to expand PRIUS

http://prius.ics.es.osaka-u.ac.jp/en/index.html

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

Towards a Global Lake Ecological Observatory Network

Tim KratzDirector, Trout Lake Station

Center for LimnologyUniversity of Wisconsin-Madison

Yuan Yang Lake, Taiwan ; photo by Matt Van de Bogert

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

Mirror Lake, New Hampshire Lake

Air

Many lakes are supersaturated in CO2

Source: Tim Kratz

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

Of 4665 samples from 1835 lakes worldwide,87% were supersaturated

Why?

Source: Tim Kratz

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

Source: T. KratzMarch 2005

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

Programs-Australia-Canada-China-Finland-Florida-New Zealand-Israel-South Korea-Taiwan-United Kingdom-Wisconsin

1st: San DiegoMar. 7-9, 2005

Source: T. Kratz

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:TownsvilleMar. 28-29, 2006

Second GLEON and CREON Workshop: Townsville AU 28 – 29 March 2006

• Agreement on specific lake analysis

• Agreement on data collection from coral reef

• Demonstrations of technologies

• Agreement of future meetings

Third Meeting in Taiwan 3 – 4 October 2006

Scalable instrumentation and cyberfrastructure is critical

We can do this scale nowhttp://lakemetabolism.org Source: Tim Kratz

Problematic, but possible with today’s cyberinfrastructure

Scalable instrumentation and cyberfrastructure is critical

So

urce: T

im

Kratz

lakemetab

olism

.or

g

Scale needed to answer regional/continental questions

Not currently possible

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

Building Community Based, Grass-Roots Research Networks:

The Cases of Global Lake Ecological Observatory Network (GLEON) and of

Coral 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

Network-Level Applications

Data Ingestion System

Data Integration System

Command and Control

Buoy 1 Buoy N

………. …….S 1….S 1S L S k S 1 S M

……….

Raw data

QA/QC

Transform

EventDetection

Mining

DataStream

Workflows

Site Services Interface

QA/QC

Transform

QA/QC

Transform

Analysis and Modeling System

Real-time Active Data Warehouse

…

Sensors

Site Cyberdashboard/Portal Network-Level ApplicationsNetwork-Level Applications

Generalize Site-level

architecture

Source: Tony Fountain

Network Level Conceptual Architecture

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

Analysis and Modeling System

Real-time Active Data Warehouse

Network-Level Applications

Network-Level Cyberdashboard/Portal

Source: Tony Fountain

Second GLEON and CREON Workshop: Townsville AU 28 – 29 March 2006

• Agreement on specific lake analysis

• Agreement on data collection from coral reef

• Demonstrations of technologies

• Agreement of future meetings

GLEON and CREON Third Workshop, Taiwan, 3 – 4 October 2006

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

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

New Paradigm: Global Team Science

U.WaikatoD.Hamilton

Models

NCHCF.P.Lin

Maintain YYLParallelize Codes

U.WisconsinT.Kratz

Maintain Trout BogLake MetabolismUCSD

F.Vernon, S.Peltier,T.Fountain P.ArzbergerROADNet, TelescienceMoore Fnd, PRAGMANIGLAS

B.Q QinMaintain Taihu

Physical Limnology

Kangwon UB.Kim

Maintain SoyangPublic Policy

Acknowledgements• 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

e-science’s New Frontier: Merging of Science and Information Technology –

GLEON and PRAGMA’s Activities

PreviouslyUnobtainable

Observations andUnderstanding Enabling

Technology

• Advance science

Science Drivers

• Focus development

PersistentInfrastructure

• Broaden impact

Education & Capacity

Building

• Develop human resources

Sustained Collaboration

• Build teams and trust

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

NSF

Envir

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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

Characteristics

Source: Liz Blood

Transformative in understanding complexity of natural and human environments

• 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.  

Frequency of measurement

Spatial extent

Annual

100 km

Monthly Weekly Daily Hourly Min. Sec.

10 km

1 km

100 m

10 m

1 m

10 cm

Existing Sensor Networks

random selection from Ecology 2003

Source: John Porter et al., Bioscience, 2005

Sensor networks allow high frequency observations over broad spatial extents