USU, RENCI, BYU, UNC, UVA, CUAHSI, Tufts, Texas, Purdue, Caktus

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Presentation transcript:

USU, RENCI, BYU, UNC, UVA, CUAHSI, Tufts, Texas, Purdue, Caktus Clearing your Desk! Software and Data Services for Collaborative Web Based GIS Analysis David Tarboton, Ray Idaszak, Jeffery Horsburgh, Dan Ames, Jon Goodall, Larry Band, Venkatesh Merwade, Alva Couch, Rick Hooper, David Maidment, Pabitra Dash, Michael Stealey, Hong Yi, Tian Gan, Tseganeh Gichamo, Ahmet Yildirim, Yan Liu USU, RENCI, BYU, UNC, UVA, CUAHSI, Tufts, Texas, Purdue, Caktus http://www.hydroshare.org OCI-1148453 OCI-1148090 EPS-1135482

Outline Data and computational challenges HydroShare Goals Resource data model Architecture Terrain analysis and TauDEM in CyberGIS Data services for hydrologic modeling Summary Data Analysis Models

Do you have the access or know how to take advantage of advanced computing capability? Data Intensive High Performance Computing Hydrologic Experimentation and Modeling awk grep vi #PBS -l nodes=4:ppn=8 mpiexec chmod #!/bin/bash A digital divide Data and Software Services

The challenge of increasing Digital Elevation Model (DEM) resolution e.g. 50,000 km2 Watershed 1980’s DMA 90 m 102 cells/km2 27 MB 240 MB 1990’s USGS DEM 30 m 103 cells/km2 2000’s NED 10 m 104 cells/km2 2 GB 2010’s LIDAR ~1 m 106 cells/km2 200 GB

HydroShare web based collaboration environment Share your data and models with colleagues Manage who has access to the content that you share Share, access, visualize and manipulate a broad set of hydrologic data types Sharing and execution of models Web services API to facilitate automated and client access to almost all functionality Access to and use of high performance computing Publication of data and models with a DOI www.hydroshare.org Enable more rapid advances in hydrologic understanding through collaborative data sharing, analysis and modeling.

Types of data supported as resources Generic  Geographic Raster (GeoTIFF)  Time Series  Multidimensional (netCDF)  Model program  Model instance  SWAT Model Instance  Web App  Geographic Feature (Shapefile)  Referenced Time Series (CUAHSI HIS web service link) River Geometry Sample based observations (ODM2 and CZO) Composite resources (Collections of resources) x y t

Architecture Empower everyone with Apps (Dawn Wright) HydroShare Apps Django website iRODS “Network File System” API Resource exploration Actions on Resources Resource storage Can this web based (cloud) computing approach deliver GIS and hydrologic analysis and modeling functionality as services over the web? and address Platform independence Big data Reproducibility Reduce needs for software installation and configuration Anyone can set up a server/app platform (software service) to operate on HydroShare resources through iRODS and API

Terrain Analysis as a use case Topography is fundamental to hydrology Watersheds are the most basic hydrologic landscape elements a1 a2 1 2 3 4 5 6 7 8 TauDEM http://hydrology.usu.edu/taudem/ is software for deriving hydrologically useful information from Digital Elevation Models Stream and watershed delineation Multiple flow direction flow field Calculation of flow based derivative surfaces MPI Parallel Implementation for speed up and large problems Open source platform independent C++ command line executables for each function Deployed as an ArcGIS Toolbox with python scripts that drive command line executables

Using TauDEM today requires Expertise in Hydrologic DEM analysis The software ArcGIS licenses (for ArcGIS plugin) The ability to install software TauDEM command functions with MPI installation Compilation for other platforms Sufficient Hardware (RAM and Disk) The data (GDAL formatted rasters with consistent grid size and spatial reference)

Moving TauDEM to the cloud, CyberGIS TauDEM App http://gateway. cigi

http://cybergis.cigi.uiuc.edu/

Select the products you want The wizard configures the sequence of functions to run to get the result

Results displayed in browser And saved in HydroShare (in progress)

CyberGIS HydroShare Coupling iRODS “Network File System” HydroShare Django web application and collaboration services Distributed Resource Servers CyberGIS tools and HPC gateway services Data Store CyberGIS iCAT Zone User Accounts Authentication and Authorization CyberGIS data holdings shared as HydroShare resources HydroShare user resources staged at CyberGIS for input to computation Results persisted as resources in HydroShare to support Collaboration Input for further analysis and models

Advancing Data Services for Modeling and Analysis Assumptions GIS and hydrologic modelers have to learn and become comfortable using a modern scientific programming language (e.g. Python or R) Modeling is increasingly data intensive (large datasets from a range of sources) demanding more data and computing resources than is in most PC’s Reproducibly installing and configuring models on different platforms is a challenge Should not have to become expert in HPC systems and learning them is a barrier to using HPC and research with big data and computationally intensive models

Computation via Python Client calling Data and Modeling Services Input Python session on desktop but data and analysis on server with results pushed to iRODS/HydroShare for storage and collaboration Details in https://www.hydroshare.org/resource/cfb8d71b7f1f4e75a44f5e634f4730d4/ or search for HydroGate in HydroShare

Summary Web based Cyberinfrastructure for GIS and Hydrologic Data and Modeling is emerging to support Large datasets Collaboration Reproducible workflows and results And reduce software installation and configuration limitations. HydroShare and CyberGIS are part of this. Interoperability is key to leveraging full potential of multiple emerging cloud cyberinfrastructure systems

Thanks to the HydroShare, CyberGIS and CI-WATER teams! USU RENCI/UNC CUAHSI BYU Tufts UVA Texas Purdue SDSC The HydroShare project is part of a broad effort in CUAHSI in the area of Hydrologic Information Systems. We have a team of developers and domain scientists from eight universities working on HydroShare. This is part of the even broader focus in NSF on data management, Cyberinfrastructure and sustainable software. http://www.hydroshare.org OCI-1148453 OCI-1148090 EPS-1135482