Global Lake Ecological
Observatory Network GLEON:
Catalyzing Global Team Science
based on PRAGMA
15 July 2006
Peter Arzberger
Tim Kratz, Fang-Pang Lin
Philip Papadopoulos, Mason Katz
Gabriele Wienhausen, Linda Feldman
And many more
Source Chi-Yu Chiu and Chin Lin
Yuan-Yang Lake Ecosite
~900MHz RF
Dong Hwa Tower
Source Fang-Pang Lin
Lake Metabolism Website
http://lakemetabolism.org
Typhoon causes water column mixing
22
40
Surface Temp (C)
35
0.5m Temp (C)
20
1m Temp (C)
1.5m Temp (C)
30
2m Temp (C)
18
25
16
20
15
14
10
Wind Speed
12
Precipitation (mm/5 minutes)
10
5
0
202122232425262728293031Aug- Aug- Aug- Aug- Aug- Aug- Aug- Aug- Aug- Aug- Aug- Aug04
04
04
04
04
04
04
04
04
04
04
04
Source: Tim Kratz
Wind Speed (m/s)
Water Temperature (C)
Mixing event
2.5m Temp (C)
3m Temp (C)
Wind Speed (m/s)
RAIN_FALL
100%
90%
80%
Chrysophytes
Pyrrhophytes
Greens
Diatoms
Cryptophytes
Bluegreens
70%
60%
50%
40%
30%
20%
10%
26-Aug
19-Aug
12-Aug
5-Aug
29-Jul
22-Jul
15-Jul
0%
8-Jul
Relative Abundance of major algal groups
Typhoons reset algal community composition in Yuan Yang Lake
Date (2004)
Typhoon
Typhoon
Typhoon
Data courtesy of Dr. J.T. Wu, Academia Sinica
Typhoons: Other Outcomes
Access can be difficult
during the most
interesting times
Photo by Peter Arzberger, October
2004
PRAGMA’s Founding Motivations
• Science is an intrinsically global activity
• 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
PRAGMA
Overarching Goals
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
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
PRAGMA Grid Testbed
UZurich
Switzerland
CNIC
China
JLU
China
BU
USA
KISTI
Korea
AIST
OSAKAU
TITECH
Japan
KU
NECTEC
Thailand
ASCC
NCHC
Taiwan
UoHyd
India
MIMOS
USM
Malaysia
Cindy Zheng, Geon Workshop, 7/20/2006
NCSA
USA
CICESE
Mexico
IOIT-HCM
Vietnam
BII
IHPC
NGO
Singapore
SDSC
USA
UNAM
Mexico
QUT
Australia
MU
Australia
UChile
Chile
CCGrid - Singapore
16 – 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 UniverSities
Osaka 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
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 Kratz
Director, Trout Lake Station
Center for Limnology
University of Wisconsin-Madison
Yuan Yang Lake, Taiwan ; photo by Matt Van de Bogert
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
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
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. Kratz
March 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
Steering Committee
-Peter Arzberger, UCSD, USA
-David Hamiltion, University of Waikato,
New Zealand
-Tim Kratz, University of Wisconsin, USA
-Fang-Pang Lin, NCHC, Taiwan
Source: T. Kratz
Programs
-Australia
-Canada
-China
-Finland
-Florida
-New Zealand
-Israel
-South Korea
-Taiwan
-United Kingdom
-Wisconsin
1st: San Diego
Mar. 7-9, 2005
2nd:Townsville
Mar. 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 now
http://lakemetabolism.org
Source: Tim Kratz
Scalable instrumentation and
cyberfrastructure is critical
Source: Tim Kratz
lakemetabolism.org
Problematic, but possible with today’s cyberinfrastructure
Not currently possible
Scale needed to answer regional/continental questions
Addressing the Scaling Challenge
NSF 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)
A proposal to
•
•
•
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
Sensors
Buoy 1
Buoy N
……….
Data Ingestion System
S1
QA/QC
QA/QC
Transform
Transform
Event
Detection
……….
Mining
SL
S1
….
…
Sk
S1
Data
Stream
Workflows
QA/QC
Transform
…….
SM
Raw data
Data Integration System
Real-time Active
Data Warehouse
Analysis and
Modeling System
Command
and Control
Site Services Interface
Site Cyberdashboard/Portal
Source:
Tony Fountain
Network-Level
Applications
Network-Level
Network-LevelApplications
Applications
Generalize
Site-level
architecture
Network Level Conceptual
Architecture
Real-time Active
Data Warehouse
Analysis and
Modeling System
Site Services Interface
Real-time Active
Data Warehouse
Real-time Active
Data Warehouse
Analysis and
Modeling System
Site Services Interface
Analysis and
Modeling System
Site Services Interface
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
Kangwon U
B.Kim
Maintain Soyang
Public Policy
U.Wisconsin
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
T.Kratz
Maintain Trout Bog
Lake Metabolism
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
•
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
GLEON
–
–
–
–
•
•
•
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
Education
& Capacity
Building
Sustained
Collaboration
• Build teams and
trust
Science
Drivers
• Develop human resources
Previously
Unobtainable
Observations and
Understanding
Enabling
Technology
• Advance science
• Focus development
Persistent
Infrastructure
• Broaden impact
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 worldclass 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 Environmental Observing Systems
Transformative in understanding complexity of
natural and human environments
Characteristics
• 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
Sensor networks allow high frequency
observations over broad spatial extents
100 km
10 km
Spatial
extent
1 km
100 m
Existing Sensor Networks
10 m
1m
10 cm
random selection
from Ecology 2003
Annual Monthly Weekly Daily Hourly Min. Sec.
Frequency of measurement
Source: John Porter et al., Bioscience, 2005