Post on 10-Jan-2016
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
10
12
14
16
18
20
22
20-Aug-04
21-Aug-04
22-Aug-04
23-Aug-04
24-Aug-04
25-Aug-04
26-Aug-04
27-Aug-04
28-Aug-04
29-Aug-04
30-Aug-04
31-Aug-04
Wat
er T
emp
erat
ure
(C
)
0
5
10
15
20
25
30
35
40
Win
d S
pee
d (
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
l
15-J
ul
22-J
ul
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
ativ
e A
bund
ance
of m
ajor
alg
al g
roup
s
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
onm
enta
l O
bse
rvin
g S
yst
em
s
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