CUAHSI HIS Features of Observations Data Model. NWIS ArcGIS Excel NCAR Trends NAWQA Storet NCDC Ameriflux Matlab AccessSAS Fortran Visual Basic C/C++

Slides:



Advertisements
Similar presentations
World Water Online Proposing A Distributed System for Global Water Information Presented by: Fernando R. Salas Prepared by: Fernando R. Salas and David.
Advertisements

Some notes on CyberGIS in hydrology Ilya Zaslavsky Spatial Information Systems Lab San Diego Supercomputer Center UCSD TeraGrid CyberGIS Workshop, February.
Digital Environments and WATERS Observatories Dr. Richard P. Hooper, President, Consortium of Universities for the Advancement of Hydrologic Science, Inc.
Waters Observatory Network Observe water systems Observe in many different contexts and for different purposes Have a Waters Network Information System.
ICEWATER: INRA Constellation of Experimental Watersheds Cyberinfrastructure to Support Publication of Water Resources Data Jeffery S. Horsburgh, Utah State.
Hydrologic Information Systems David Maidment, Tim Whiteaker, Dean Djokic, Norman Jones ESRI, Redlands CA Sept 4, 2007.
C van Ingen, D Agarwal, M Goode, J Gupchup, J Hunt, R Leonardson, M Rodriguez, N Li Berkeley Water Center John Hopkins University Lawrence Berkeley Laboratory.
Linking HIS and GIS How to support the objective, transparent and robust calculation and publication of SWSI? Jeffery S. Horsburgh CUAHSI HIS Sharing hydrologic.
This work is funded by National Science Foundation Grant EAR Accessing and Sharing Data Using the CUAHSI Hydrologic Information System CUAHSI HIS.
CUAHSI HIS Data Services Project David R. Maidment Director, Center for Research in Water Resources University of Texas at Austin (HIS Project Leader)
Services-Oriented Architecture Updates David Maidment Part of a presentation made to the HIS Standing Committee, Washington DC, Nov 15, 2010.
This work was funded by the U.S. National Science Foundation under grant EAR Any opinions, findings and conclusions or recommendations expressed.
Crossing the Digital Divide
Development of a Community Hydrologic Information System Jeffery S. Horsburgh Utah State University David G. Tarboton Utah State University.
Two NSF Data Services Projects Rick Hooper, President Consortium of Universities for the Advancement of Hydrologic Science, Inc.
Integrating Historical and Realtime Monitoring Data into an Internet Based Watershed Information System for the Bear River Basin Jeff Horsburgh David Stevens,
Deployment and Evaluation of an Observations Data Model Jeffery S Horsburgh David G Tarboton Ilya Zaslavsky David R. Maidment David Valentine
CUAHSI Hydrologic Information Systems and Web Services By David R. Maidment With support from many collaborators: Ilya Zaslavsky, David Valentine, Reza.
HIS Team and Collaborators University of Texas at Austin – David Maidment, Tim Whiteaker, Ernest To, Bryan Enslein, Kate Marney San Diego Supercomputer.
SAN DIEGO SUPERCOMPUTER CENTER Developing a CUAHSI HIS Data Node, as part of Cyberinfrastructure for the Hydrologic Sciences David Valentine Ilya Zaslavsky.
Data Management, Data Assimilation and Modeling David R. Maidment Director, Center for Research in Water Resources University of Texas at Austin Presented.
CUAHSI Hydrologic Information Systems By David R. Maidment With support from many collaborators: Ilya Zaslavsky, Reza Wahadj, Chaitan Baru, Praveen Kumar,
A Services Oriented Architecture for Water Resources Data David R. Maidment Center for Research in Water Resources University of Texas at Austin.
About CUAHSI The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is an organization representing 120+ universities.
Ocean Sciences What is CUAHSI? CUAHSI – Consortium of Universities for the Advancement of Hydrologic Science, Inc Formed in 2001 as a legal entity Program.
Hydrologic Information System for the Nation Ilya Zaslavsky Spatial Information Systems Lab San Diego Supercomputer Center UCSD UCSD Seminar, February.
About CUAHSI The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is an organization representing 120+ universities.
Water Web Services David R. Maidment Center for Research in Water Resources University of Texas at Austin Open Waters Symposium Delft, the Netherlands.
Arc Hydro Groundwater Data Model
Hydrologic Information System for the Nation I. Zaslavsky (SDSC) & The CUAHSI HIS Project his.cuahsi.org, hiscentral.cuahsi.org.
Data Interoperability in the Hydrologic Sciences The CUAHSI Hydrologic Information System David Tarboton, David Maidment, Ilya Zaslavsky, Dan Ames, Jon.
Advancing an Information Model for Environmental Observations Jeffery S. Horsburgh Anthony Aufdenkampe, Richard P. Hooper, Kerstin Lehnert, Kim Schreuders,
CUAHSI WaterOneFlow Web Services By Tim Whiteaker CE 394K.2 Hydrology 1 February 2007.
Publishing Observations Data: from ODM to HIS Central.
Hydrologic Information System for the Nation David R. Maidment Director Center for Research in Water Resources, University of Texas at Austin.
Hydrologic Information System for the Nation Ilya Zaslavsky Spatial Information Systems Lab San Diego Supercomputer Center UCSD UCSD Seminar, February.
Ocean Sciences CUAHSI-Hydrologic Information Systems CUAHSI – Consortium of Universities for the Advancement of Hydrologic Science, Inc Formed in 2001.
Hydrologic Information System for the Nation Ilya Zaslavsky Spatial Information Systems Lab San Diego Supercomputer Center UCSD BOM talk, Melbourne, March.
Hydrologic Information System for the Nation I. Zaslavsky (SDSC) & The CUAHSI HIS Project his.cuahsi.org, hiscentral.cuahsi.org.
CUAHSI, WATERS and HIS by Richard P. Hooper, David G. Tarboton and David R. Maidment.
GIS in Water Resources: Lecture 1 In-class and distance learning Geospatial database of hydrologic features GIS and HIS Curved earth and a flat map.
CUAHSI Hydrologic Information Systems. HIS Project Team Yao Liang John Helly Project co-PI Collaborator.
Water and Catchment Data Services David R. Maidment Center for Research in Water Resources University of Texas at Austin River Science Symposium Swansea,
Hydrologic Information System for the Nation I. Zaslavsky (SDSC) & The CUAHSI HIS Project his.cuahsi.org, hiscentral.cuahsi.org.
WEB SERVICES FOR UNIFIED ACCESS TO NATIONAL HYDROLOGIC DATA REPOSITORIES AND REAL TIME OBSERVATION DATA: CUAHSI HIS EXPERIENCE Ilya Zaslavsky San Diego.
CUAHSI Hydrologic Information Systems David R. Maidment Center for Research in Water Resources University of Texas at Austin and Ilya Zaslavsky, David.
Universities allied for water research CUAHSI: Advancing Hydrologic Science through Community Engagement Rick Hooper, President.
Bringing Water Data Together David R. Maidment Center for Research in Water Resources University of Texas at Austin Texas Water Summit San Antonio Tx,
GIS in Water Resources: Lecture 1 In-class and distance learning Geospatial database of hydrologic features GIS and HIS Curved earth and a flat map.
Hydrologic Modeling in 2011 David R. Maidment Center for Research in Water Resources University of Texas at Austin Leader of the CUAHSI Hydrologic Information.
Hydrologic Information System GIS – the water environment Water Resources – the water itself CUAHSI HIS: NSF-supported collaborative project: UT Austin.
CUAHSI Hydrologic Information Systems By David R. Maidment With support from many collaborators: Ilya Zaslavsky, Reza Wahadj, Chaitan Baru, Praveen Kumar,
CE 394K.2 Surface Water Hydrology Lecture 1 – Introduction to the course Readings for today –Applied Hydrology, Chapter 1 –“Integrated Observatories to.
CUAHSI Hydrologic Information Systems David R. Maidment and Ernest To Center for Research in Water Resources, University of Texas at Austin Hydrosystems.
Lecture 4 Data Models Jeffery S. Horsburgh Hydroinformatics Fall 2012 This work was funded by National Science Foundation Grant EPS
David R. Maidment (PI) David G Tarboton Ilya Zaslavsky Michael Piasecki Jon Goodall With support from collaborators, postdocs and graduate students: Rick.
GIS for Atmospheric Sciences and Hydrology By David R. Maidment University of Texas at Austin National Center for Atmospheric Research, 6 July 2005.
Ocean Sciences CUAHSI-Hydrologic Information Systems CUAHSI – Consortium of Universities for the Advancement of Hydrologic Science, Inc Formed in 2001.
HydroGET A web service client for ArcGIS Ernest To PhD Candidate, University of Texas at Austin August 2008.
1 CUAHSI Web Services and Hydrologic Information Systems By David R. Maidment, University of Texas at Austin Collaborators: Ilya Zaslavsky and Reza Wahadj,
Developing a community hydrologic information system David G Tarboton David R. Maidment (PI) Ilya Zaslavsky Michael Piasecki Jon Goodall
The CUAHSI Hydrologic Information System Spatial Data Publication Platform David Tarboton, Jeff Horsburgh, David Maidment, Dan Ames, Jon Goodall, Richard.
Developing a Community Hydrologic Information System
Sharing Hydrologic Data with the CUAHSI* Hydrologic Information System
The CUAHSI Hydrologic Information System and NHD Plus A Services Oriented Architecture for Water Resources Data David G Tarboton David R. Maidment (PI)
CUAHSI Hydrologic Information System
CE 394K.2 Surface Water Hydrology
Department of Civil, Architectural & Environmental Engineering
Point Observations Information Model
ESRI User Conference Water Resources User Group, July 15, 2010
Presentation transcript:

CUAHSI HIS Features of Observations Data Model

NWIS ArcGIS Excel NCAR Trends NAWQA Storet NCDC Ameriflux Matlab AccessSAS Fortran Visual Basic C/C++ CUAHSI Web Services Some operational services Observatories PI Field Site LTER Sites Agency Sites National Server Workgroup Server

CUAHSI Hydrologic Information System Levels National HIS – San Diego Supercomputer Center Workgroup HIS – research center or academic department Personal HIS – an individual hydrologic scientist HIS Server HIS Analyst Map interface, observations catalogs and web services for national data sources Map interface, observations catalogs and web services for regional data sources; observations databases and web services for individual investigator data Application templates and HydroObjects for direct ingestion of data into analysis environments: Excel, ArcGIS, Matlab, programming languages; MyDB for storage of analysis data

HIS Server Architecture Map front end – ArcGIS Server 9.2 (being programmed by ESRI Water Resources for CUAHSI) Relational database – SQL/Server 2005 or Express Web services library – VB.Net programs accessed as a Web Service Description Language (WSDL)

National and Workgroup HIS National HIS has a polygon in it marking the region of coverage of a workgroup HIS server Workgroup HIS has local observations catalogs for coverage of national data sources in its region. These local catalogs are partitioned from the national observations catalogs. For HIS 1.0 the National and Workgroup HIS servers will not be dynamically connected. National HISWorkgroup HIS

Series and Fields Features Point, line, area, volume Discrete space representation Series – ordered sequence of numbers Time series – indexed by time Frequency series – indexed by frequency Surfaces Fields – multidimensional arrays Scalar fields – single value at each location Vector fields – magnitude and direction Random fields – probability distribution Continuous space representation

Data Types Hydrologic Observation Data Geospatial Data Weather and Climate Data Remote Sensing Data (NetCDF) (GIS) (Relational database) (EOS-HDF) Digital Watershed

Point Observations Information Model Data Source Network Sites Observation Series Values {Value, Time, Qualifier} USGS Streamflow gages Neuse River near Clayton, NC Discharge, stage, start, end (Daily or instantaneous) 206 cfs, 13 August 2006 A data source operates an observation network A network is a set of observation sites A site is a point location where one or more variables are measured A variable is a property describing the flow or quality of water An observation series is an array of observations at a given site, for a given variable, with start time and end time A value is an observation of a variable at a particular time A qualifier is a symbol that provides additional information about the value

ODM Value Data Table Value Site Date-Time Offsets Censor Qualifier Method Source Sample Derived From Quality Control Level

Qualifiers Censor: Censored values ( ) Qualifiers: E, etc.

Quality Control Levels 0: Raw Data as measured 1: Quality Controlled data subject to “std” QC procedure 2: Derived Product scientific/technical interpretation, including multisensor products (e.g., averages) 3: Interpreted Products model-based interpretation, using other data, strong prior assumpations (e.g., radar precipitation, fluxes) 4: Knowledge Products model-based, multidisciplinary, less standard, stronger assumptions (e.g., old/new water interpretations based on stable isotopes)

Stage and Streamflow Example

Water Chemistry from a profile in a lake

-Mathematical Formulae -Solution Techniques Abstractions in Modeling Physical World Conceptual Frameworks Data Representation Model Representations “Digital Environment”Real World Measurements Theory/Process Knowledge Perceptions of this place Intuition Water quantity and quality Meteorology Remote sensing Geographically Referenced Mapping Validation DNA Sequences Vegetation Survey Hydrologist Q, Gradient, Roughness? Groundwater Contribution? Snowmelt Processes? Biogeochemist Hyporheic exchange? Mineralogy? Chemistry? Redox Zones? DOC Quality? Geomorphologist Glaciated Valley Perifluvial Well sorted? Thalweg? Aquatic Ecologist Backwater habitat Substrate Size, Stability? Benthic Community Oligotrophic? Carbon source?