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CUAHSI Hydrologic Information System

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Multiview ArcIMS viewer for viewing locally published maps ... created from Unidata's Integrated Data Viewer (IDV) Wind vectors and wind ... Earth Science ... – PowerPoint PPT presentation

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Title: CUAHSI Hydrologic Information System


1
CUAHSI Hydrologic Information System
Summary as of June 16, 2004 by David R. Maidment
2
CUAHSI Hydrologic Information System Participants
  • Core Team D. Maidment, J. Helly, P. Kumar, M.
    Piasecki, R. Hooper, J. Duncan
  • Collaborators V. Lakshmi, X. Liang, Y. Liang, U.
    Lall, L. Poff, K. Reckhow, D. Tarboton, I.
    Zaslavsky, C. Zheng

3
CUAHSI Hydrologic Information System (HIS) Project
  • This a 2-year project to develop an RFP for the
    Center for Hydrologic Information (CHI) and
    perform preliminary research and prototyping for
    HIS
  • For years 3 and onwards, all funding will be
    competitively awarded by NSF/CUAHSI
  • Center for Hydrologic Information
  • HydroInformatics Thematic Centers

4
Hydrologic Information Science
Hydrologic Information Science is that branch of
hydrologic science that deals with the precise
description of the condition of the earths
waters, and of their surrounding natural
environment. It is concerned with hydrologic
data acquisition, archiving, dissemination,
assembly, analysis and display. The measure of
success of this science is the degree of accuracy
and comprehensiveness of depiction of hydrologic
environments at any location and scale in space
and time.
We should develop and publicize a research
agenda for this science
5
CUAHSI HIS is meant to facilitate
  • Data Acquisition
  • quicker, easier, usable formats
  • Data Archiving
  • experimental and regional data for HOs
  • Data Assembly
  • bringing the data together, data model
  • Data Analysis
  • visualization, statistics, hypothesis testing.

6
CUAHSI Hydrologic Information Systems
  • Work of the five project partners
  • CUAHSI
  • San Diego Supercomputer Center
  • University of Texas
  • University of Illinois
  • Drexel University
  • Involving the collaborators

7
CUAHSI Program Office
  • Based in Washington DC
  • Executive Director is Rick Hooper
  • Communications Director is Jon Duncan
  • Jon is the point of contact for the HIS project
  • Hydrologic observatory project defines roles for
    HIS
  • HO Meeting at Utah State, Logan, on August 24-25
    at which we have to present HIS plan

8
CUAHSI Hydrologic Information Systems
  • Work of the five project partners
  • CUAHSI
  • San Diego Supercomputer Center
  • University of Texas
  • University of Illinois
  • Drexel University
  • Involving the collaborators

9
San Diego Supercomputer Center
  • Principal technology partner for HIS
  • John Helly is PI, assisted by Don Sutton and
    Tiffany Houghton
  • CUAHSI HIS web site (http//cuahsi.sdsc.edu)
  • Hydrologic Digital Library for local storage of
    any kind of file
  • Metadata definition of file types (.mif)
  • HydroViewer for viewing locally published files
  • Ilya Zaslavsky deals with internet mapping
  • Multiview ArcIMS viewer for viewing locally
    published maps (http//geo.sdsc.edu/website/SIO_Ex
    pl)

10
New Concept of Publication
New Way
Old Way
11
Arbitrary Digital Objects
  • An ADO can be any kind of file
  • Described by metadata in .mif format
  • Stored in a local digital library
  • Accessed using HydroViewer
  • Federated network of libraries across country

12
System Architecture Interfaces
13
HydroViewer GUI
Neuse River Watershed Collection
HydroViewer Demo by John Helly
14
CUAHSI Hydrologic Information Systems
  • Work of the five project partners
  • CUAHSI
  • San Diego Supercomputer Center
  • University of Texas
  • University of Illinois
  • Drexel University
  • Involving the collaborators

15
University of Texas
  • David Maidment is PI, assisted by Jon Goodall,
    Gil Strassberg, Venkatesh Merwade
  • Hydrologic data model development
  • atmospheric water, surface water, subsurface
    water
  • interoperable analysis environment

16
CUAHSI Hydrologic Information System
Experiments
Monitoring
1. Assemble data from many sources
Information Sources
GIS
Remote sensing
Climate models
2. Integrate data into a coherent structure
Hydrologic Information Data Model
Hypothesis testing
Analysis and Visualization
3. Do science
Statistics
Data Assimilation
Simulation
17
Digital WatershedAn implementation of the
CUAHSI Hydrologic Information Data Model for a
particular region
Created first for the Neuse basin and then for
each of the following CUAHSI Observatory
Planning basins
18
http//neuse.crwr.utexas.edu/
19
Neuse Basin Coastal aquifer system
Section line
Beaufort Aquifer
From USGS, Water Resources Data Report of North
Carolina for WY 2002
20
A 3-D Volume Model of the Beaufort Aquifer
Beaufort confining layer
Beaufort aquifer
Built by Gil Strassberg from borehole information
collected by the Neuse basin case study team
21
RUC20 Output Samples
Precipitable water in the atmosphere
Cross-section of relative humidity
Wind vectors and wind speed (shading)
Images created from Unidatas Integrated Data
Viewer (IDV)
22
Surface Water Information
ArcIMS Web Server displaying data compiled in
Neuse HO Planning Study
23
SDSC Multiview Map Viewer
http//geo.sdsc.edu/website/SIO_Expl/viewer.htm
24
Neuse basin data in Multiview
http//geo.sdsc.edu/website/SIO_Expl/viewer.htm
25
Adding more ArcIMS map services
ArcIMS Website http//emrcims.uwrl.usu.edu uses
data stored in an ArcGIS geodatabase
From Utah State University
26
University of Illinois
  • Praveen Kumar is PI, assisted by Benjamin Ruddell
  • Developing Modelshed which is an generalized
    hydrologic modeling and data analysis environment
    built on top of Arc Hydro
  • Focused on applications integrating hydrology and
    climate modeling

27
Arc Hydro Components
28
What is a Modelshed?
  • A volumetric spatial model unit, registered in
    three dimensions by a GIS, with which
    time-varying data, model fluxes, spatial
    relationships and descriptive metadata are
    associated

29
AreaLink
  • The AreaLink connects otherwise unrelated spatial
    coverages and zones, to allow interaction

30
OrthogonalLink
  • Curvilinear ModelshedTypes may establish
    orthogonal links to neighboring X and Y Modelsheds

31
Applications Helping Raster Vector Talk
32
In this example, we are using a 30km climate
simulation grid to simulate moisture fluxes. We
want to study fluxes in grid zones dominated by
forests, with elevations greater than 500ft.
Datasets used grid polygon layer, DEM, USGS
land cover, climate simulation output data
33
Drexel University
  • Michael Piasecki is PI, assisted by Luis Bermudez
  • Goal is to study metadata languages and standards
    to find what is most suitable for hydrology
  • Concept hierarchies stored in ontologies
    described in OWL (Ontology Web Language)

34
ESML Earth Science Markup Language
Syntactic Metadata
  • From the Information Technology Systems Center
    of the University of Alabama
  • Defines documents in XML to describe any format
    file with the required elements for a computer
    program to interpret the data

Example of an ESML file describe the file
35
Methodology
Model Ontology
Define concepts
Hydrologic domain
Available Models e.g. Arc Hydro
  • Classes
  • Properties
  • Facets
  • Relations

Metadata e.g. ISO
  • XML schemas
  • Extended elements
  • New elements
  • Create XML Schemas
  • Match elements
  • Select best encoding

Markup Languages e.g. GML, ESML
Cataloging activities e.g. GCMD
Create tools to facilitate its use e.g. editor,
searcher
36
2. Definition of concepts Cross Section is
composed of two or more points
Thalweg
BankLines
1. Domain Natural Channels
Floodlines
CrossSection
  • 3. Definition of
  • classes
  • Properties
  • facets
  • relations

4. Match elements ISO /DIS 19115 2001
MD_GeometricObjectTypeCode point
Channel Feature
5. Create XML Schema
Reach Code River Code
lt?xml version"1.0"?gt ltxsdschema xmlnsxsd
hydroml http//www.hydroml.org iso
http//iso.com/schema lt xsdelement
namecrossSection gt ltxsdcomplexTypegt
ltxsdsequencegt ltxsdelement
refhydromlpoint" minOccurs2maxOccurs"unbo
unded/gt ltxsdrestriction base"xsddouble/gt lt
xsdelement namepoint type isopointgt
CrossSection Point
2 ..
Cross Section
CrossM Elevation
double
37
Hydrologic Information System Data Organization
Application Systems
Process model domains
Flux Assessment System
Hydrologic Digital Library (Digital files of
hydrologic information in any form, indexed by a
metadata catalog)
38
Involving the Collaborators..
  • We have a good start
  • How do we involve the collaborators in a
    productive way?
  • How should we interact with the Hydrologic
    Observatory proposers (meeting at Utah State on
    August 24-25)?
  • Possible CUAHSI all hands meeting at SDSC on
    August 12-13
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