Venkatesh Merwade, Purdue University

Slides:



Advertisements
Similar presentations
Christopher Kunz | OGF28 | March 16th, 2010 GDI-Grid: The State of Affairs.
Advertisements

GridPP July 2003Stefan StonjekSlide 1 SAM middleware components Stefan Stonjek University of Oxford 7 th GridPP Meeting 02 nd July 2003 Oxford.
Maines Sustainability Solutions Initiative (SSI) Focuses on research of the coupled dynamics of social- ecological systems (SES) and the translation of.
NG-CHC Northern Gulf Coastal Hazards Collaboratory Simulation Experiment Integration Sandra Harper 1, Manil Maskey 1, Sara Graves 1, Sabin Basyal 1, Jian.
Summary discussion Top-down approach Consider Carbon Monitoring Systems, tailored to address stakeholder needs. CMS frameworks can be designed to provide.
ASCR Data Science Centers Infrastructure Demonstration S. Canon, N. Desai, M. Ernst, K. Kleese-Van Dam, G. Shipman, B. Tierney.
ICEWATER: INRA Constellation of Experimental Watersheds Cyberinfrastructure to Support Publication of Water Resources Data Jeffery S. Horsburgh, Utah State.
High Performance Computing Course Notes Grid Computing.
Cyberinfrastructure for End-to- End Environmental Explorations (C4E4) R. Govindaraju, B. Engel, D. Ebert, B. Fossum, M. Huber, C. Jafvert 1, V. Merwade,
RWater –A HUBZero Tool for K-12 Hydrology Education
Linking HIS and GIS How to support the objective, transparent and robust calculation and publication of SWSI? Jeffery S. Horsburgh CUAHSI HIS Sharing hydrologic.
1 Software & Grid Middleware for Tier 2 Centers Rob Gardner Indiana University DOE/NSF Review of U.S. ATLAS and CMS Computing Projects Brookhaven National.
Nowlin Chair Crop Modeling Symposium November 10-11, 2000 Future Needs for Effective Model Applications James W. Jones  Users  Model Capabilities  Data.
John Kewley e-Science Centre GIS and Grid Computing Workshop 13 th September 2005, Leeds Grid Middleware and GROWL John Kewley
Office of Science U.S. Department of Energy Grids and Portals at NERSC Presented by Steve Chan.
Data Grids: Globus vs SRB. Maturity SRB  Older code base  Widely accepted across multiple communities  Core components are tightly integrated Globus.
Development of a Community Hydrologic Information System Jeffery S. Horsburgh Utah State University David G. Tarboton Utah State University.
SAN DIEGO SUPERCOMPUTER CENTER Developing a CUAHSI HIS Data Node, as part of Cyberinfrastructure for the Hydrologic Sciences David Valentine Ilya Zaslavsky.
4/27/2006Education Technology Presentation Visual Grid Tutorial PI: Dr. Bina Ramamurthy Computer Science and Engineering Dept. Graduate Student:
Web-based Portal for Discovery, Retrieval and Visualization of Earth Science Datasets in Grid Environment Zhenping (Jane) Liu.
TeraGrid Gateway User Concept – Supporting Users V. E. Lynch, M. L. Chen, J. W. Cobb, J. A. Kohl, S. D. Miller, S. S. Vazhkudai Oak Ridge National Laboratory.
Coupling Climate and Hydrological Models Interoperability Through Web Services.
HydroShare: Advancing Hydrology through Collaborative Data and Model Sharing David Tarboton, Ray Idaszak, Jeffery Horsburgh, Dan Ames, Jon Goodall, Larry.
Cyberinfrastructure for an Open, Collaborative GEOSHARE Community Carol Song, Ph.D. Rosen Center for Advanced Computing Purdue University GEOSHARE Post-Pilot.
CCSM Portal/ESG/ESGC Integration (a PY5 GIG project) Lan Zhao, Carol X. Song Rosen Center for Advanced Computing Purdue University With contributions by:
Cyber-Infrastructure for Agro-Threats Steve Goddard Computer Science & Engineering University of Nebraska-Lincoln.
Tradeoff Analysis: From Science to Policy John M. Antle Department of Ag Econ & Econ Montana State University.
GRACE Project IST EGAAP meeting – Den Haag, 25/11/2004 Giuseppe Sisto – Telecom Italia Lab.
Szekesfehervar 2012 Korkyt Ata Kyzylorda State University Korkyt Ata Kyzylorda State University Application of GIS for processing of soil data Yeleuova.
Enabling computational modeling and geospatial data analysis through HUBzero Venkatesh Merwade, Lan Zhao, Carol Song Purdue University Hubbub2013, September.
Publishing and Visualizing Large-Scale Semantically-enabled Earth Science Resources on the Web Benno Lee 1 Sumit Purohit 2
Jay Famiglietti, University of California, Irvine Larry Murdoch, Clemson University Venkat Lakshmi, University of South Carolina Rick Hooper, CUAHSI Towards.
material assembled from the web pages at
CSCI 5980: From GPS and Google Earth to Spatial Computing Fall 2012 Midterm Presentation Chapter 7: Architectures Team 9: Thao Nguyen, Nathan Poole October.
Grid Resource Allocation and Management (GRAM) Execution management Execution management –Deployment, scheduling and monitoring Community Scheduler Framework.
Grid Workload Management & Condor Massimo Sgaravatto INFN Padova.
Unit – I CLIENT / SERVER ARCHITECTURE. Unit Structure  Evolution of Client/Server Architecture  Client/Server Model  Characteristics of Client/Server.
A framework to support collaborative Velo: Knowledge Management for Collaborative (Science | Biology) Projects A framework to support collaborative 1.
Transforming Agricultural Ecosystem Management with Web 2.0 Technology Doug Miller Center for Environmental Informatics Earth and Environmental Systems.
Water and Catchment Data Services David R. Maidment Center for Research in Water Resources University of Texas at Austin River Science Symposium Swansea,
EPA’s Role in the Global Earth Observation System of Systems (GEOSS)
NanoHUB.org and HUBzero™ Platform for Reproducible Computational Experiments Michael McLennan Director and Chief Architect, Hub Technology Group and George.
CUAHSI HIS Survey at Berkeley Seongeun Jeong and Xu Liang Department of Civil & Environmental Engineering UC Berkeley.
Web based Hydrology and Water Resources Information System for India
Ames Research CenterDivision 1 Information Power Grid (IPG) Overview Anthony Lisotta Computer Sciences Corporation NASA Ames May 2,
NA-MIC National Alliance for Medical Image Computing UCSD: Engineering Core 2 Portal and Grid Infrastructure.
Presented by Scientific Annotation Middleware Software infrastructure to support rich scientific records and the processes that produce them Jens Schwidder.
The Modelshed Framework Praveen Kumar and Ben Ruddell, CUAHSI HIS Update July 28, 04.
What is SAM-Grid? Job Handling Data Handling Monitoring and Information.
Building the e-Minerals Minigrid Rik Tyer, Lisa Blanshard, Kerstin Kleese (Data Management Group) Rob Allan, Andrew Richards (Grid Technology Group)
S. Shumilov – Zürich Analytical Visualization Framework - a visual data processing and knowledge discovery system Ivan Denisovich, Serge Shumilov Department.
ISERVOGrid Architecture Working Group Brisbane Australia June Geoffrey Fox Community Grids Lab Indiana University
HydroShare: Advancing Hydrology through Collaborative Data and Model Sharing David Tarboton, Ray Idaszak, Jeffery Horsburgh, Dan Ames, Jon Goodall, Larry.
Cole David Ronnie Julio. Introduction Globus is A community of users and developers who collaborate on the use and development of open source software,
Virtual Experiment © Oregon State University Models as a communication tool for HJA scientists Kellie Vache and Jeff McDonnell Dept of Forest Engineering.
TeraGrid Gateway User Concept – Supporting Users V. E. Lynch, M. L. Chen, J. W. Cobb, J. A. Kohl, S. D. Miller, S. S. Vazhkudai Oak Ridge National Laboratory.
CUAHSI SURVEY RESULTS AT VIRGINIA TECH Nimmy Ravindran and Yao Liang Dept. of Electrical and Computer Engineering Virginia Tech.
Broadening Access to Geospatial Capabilities Carol Song, Larry Biehl, Rosen Center for Advanced Computing Venkatesh Merwade, School of Civil Engineering.
WMT The CSDMS Web Modeling Tool Mark Piper Eric Hutton Irina Overeem
WebFlow High-Level Programming Environment and Visual Authoring Toolkit for HPDC (desktop access to remote resources) Tomasz Haupt Northeast Parallel Architectures.
CUAHSI HIS: Science Challenges Linking small integrated research sites (
Open Source GIS The Ecotrust mission to utilize new innovative technology Aaron Racicot – GIS Programmer
Titre. Geographic Information System GIS offer powerful tools for adding spatial perspectives to: –Planning –Research –Technology transfer –Impact assessment.
Building on virtualization capabilities for ExTENCI Carol Song and Preston Smith Rosen Center for Advanced Computing Purdue University ExTENCI Kickoff.
CyberGIS Prof. Wenwen Li School of Geographical Sciences and Urban Planning 5644 Coor Hall
Sharing models as social objects through HydroShare
Delivery of Science Components to NRCS Business Applications
Lecture 8 Database Implementation
iSERVOGrid Architecture Working Group Brisbane Australia June
Objective: Powerful tool development for atomistic level nanowire FET
Presentation transcript:

Venkatesh Merwade, Purdue University WaterHUB – Enabling hydrological exploration, modeling and collaboration Venkatesh Merwade, Purdue University Lan Zhao, Carol Song and Shandian Zhe HUBbub 2012, Indianapolis, IN, Sep. 25, 2012.

Acknowledgements National Science Foundation Purdue Engineering Collaborators Ben Ruddell, Arizona State University Anjaneyulu Yerramilli, Jackson State University

Understanding and modeling of hydrologic cycle What is Hydrology? Understanding and modeling of hydrologic cycle

Need of CI for Hydrology Understanding hydrology requires data - access, sources, heterogeneity, temporal and spatial domains Modeling requires computational tools –spatial and temporal scale, integration, applications Hydrologic problems – complex and interconnected across disciplines

What is WaterHUB Large scale geospatial data and modeling extensions Waterhub has the following built-in tools: Interactive simulation tools Online presentations Mechanism for uploading resources Tool development area Content tagging Wikis and Blogs User groups for private collaboration User support area Usage statistics Feedback mechanisms Right now waterhub is in development phase and is not available to the public. It will be available at water-hub.org in september. If anyone is interested in beta testing, please let us know, and we will send you the link. Large scale geospatial data and modeling extensions Geospatial services and middleware TeraGrid/XSEDE computation/storage resources Remote geospatial data providers (CUAHSI HIS, NCDC) GIS software, community modeling tools

GIS-enabled user interface Community Building Tools Architecture GIS-enabled user interface HUBzero Core Geospatial Services GeoServer PostGIS Apache Joomla! CMS GIS Data Sharing Software NCL SWAT Community Building Tools GIS Data Processing GDAL/OGR Data The CI system is a layered architecture that expands the HUBzero core software. At the top is GIS-enabled highly-interactive user interface The middleware layer is a set of GIS data and web services that interact with the backend resource layer The resource layer includes geospatial data processing software, database, map server, remote data provider, and high performance computation and storage systems Content Contribution VNC Visualization CUAHSI HIS NCDC Weather Data Transfer Rappture Toolkit MySQL HPC Metadata Condor Pool Education/Training TeraGrid Multi-scale Modeling Storage

Why WaterHUB for Hydrology Connecting hydrologists : sharing of information, data and simulation tools Connecting data and models: use of CUAHSI HIS web services for running hydrologic models Connecting models and community: models created by one person/organization can be used by multiple entities Connecting science and people: policy makers can use model outputs and other information on waterHUB for making decisions Because of its interactive environment it enables the following

WaterHUB for Hydrology Education Understanding contemporary hydrologic issues need more than text book knowledge! Water availability – change in watershed storage under various geographic and climatic settings Water movement - Quantifying fluxes of carbon, water, energy, and nutrients across the land surface? Human impacts – quantifying the impact of natural variability versus human actions on hydro-climatology Because of its interactive environment it enables the following

Hydrology Tools on WaterHUB SWATShare – A tool for sharing Soil Water Assessment Tool (fluxes) Water Balance – A tool for plotting inputs, outputs and losses from hydrologic system (storage) Hydrology Exploration – a tool for exploring the role of land use change on hydrology (human impacts)

SWATShare Modeling Environment Implementation GIS interface using FLEX for rich UI and portability Web services for metadata/data management, job submission, status tracking, visualization, and data transfer Datamover: a secure FTP client that enables large data transfer XSEDE computation and storage resources PBS jobs at Steele for long running jobs Condor jobs at Purdue for short jobs Community account Globus job submission

SWATShare Demo www.water-hub.org

Hydrology Exploration Toolkit Dynamic data retrieval from remote data resources via web service Rainfall and radiation data at NCDC Streamflow data at CUAHSI HIS FLEX GIS client PostGIS database geoserver User interacts with a GIS web client implemented using FLEX PostGIS database and geoserver are used for geospatial data management and rendering

Hydrology Exploration Toolkit Demo https://drinet.hubzero.org/hydroexplorer 

Summary and ongoing work Three tools are developed that uses public domain data and computational tools to address hydrologic issues These tools have potential to serve both research and educational audience in hydrology Actual testing and assessment in classrooms will be done over the next two years

Thank you! www.water-hub.org Contact: Venkatesh Merwade – vmerwade@purdue.edu http://web.ics.purdue.edu/~vmerwade