Download HISOverview

CUAHSI
Hydrologic Information System
Project co-PI
Collaborator
Meeting Agenda
• Monday
– 8:30 to 10 Project
Overview
– 10:30 – noon Project
PIs
– Lunch provided here
– 1-3 Live HIS demos
– 3:30 – 5PM
Discussion and
feedback, User
Assessment
• Tuesday
– 8:30 – 10AM Summary of
User Assessment
– 10:30 – noon Related
programs
– 1-3 National data sets
– 3:30 – 5PM Other projects
related to HIS
• Wednesday --Training
– Hydrologic Digital Library
– Digital Watershed
CUAHSI
Hydrologic Information Systems
Hydrologic
Synthesis
Additional
Hypotheses
Multi-Disciplinary
Teams
Data
Hypotheses
Community
Support
Needs
Measurement
Technology
Technological
Advances
Hydrologic
Observatories
Tools
Models
Data
Community
Support
Hydrologic
Information
Systems
Exogenous Data
Environmental
Cyberinfrastructure
• Part of NSF
Cyberinfrastructure program
• Special emphasis on
environmental sciences
fostered by Margaret Leinen
(Asst Dir for GeoSciences)
• CUAHSI Hydrologic
Information Systems is one of
several pilot projects
• Contains
documents,
datasets, tools,
presentations,
tutorials
• More data at ftp
sites linked to CD
• http:// links to
project websites at
individual
universities
Link to CD
Hydrologic Information System
1. Hydrologic Observations Database
Sensing
Hydrologic
System
Sampling
Recording
Transmission
Transmission
Laboratory Analysis
Editing
On-Site
Measurement
Storage
Recording
Retrieval
Off-Site
Measurement
Hydrologic Observations Database
• A relational database
stored in Access,
PostgreSQL,
SQL/Server, ….
• Stores observation
data made at points
• Access data through
web interfaces
• Fill using automated
data harvesting
Streamflow
Precipitation
& Climate
Water Quality
Groundwater
levels
Soil
moisture
data
Flux tower
data
Data Cube
Time, T
D
Space, L
Variables, V
Data Cube in Arc Hydro
Time, TSDateTime
TSValue
Space, FeatureID
Variables, TSTypeID
Geospatial Time Series
Time Series
Properties
(Type)
Value
A Value-Time array
Time
Shape
A time series that knows what
geographic feature it describes
and what type of time series it is
ArcIMS
Website
for
hydrologic
observational
data
Thanks to ESRI
San Antonio
Neuse basin
Output from the ArcIMS website
Data open directly in Excel
Database Design
Relationships
Automated Data Harvesting
• Begin with a site file
showing where data
are available
• Develop automated
harvesting tools to
ingest observations
from agency websites
• John Helly has done
this for the NWIS data
NWIS Surface Water Sites
(Ken Lanfear)
ACIS Climate Stations
(Bill Noon)
Hydrologic Statistics
Upmanu Lall
is our expert in
this area
Time Series Analysis
D
Geostatistics
Multivariate analysis
How do we understand space-time correlation fields of many variables?
Aquatic Ecology
• What kind of
ecological
observation data
should we be
collecting?
• What kind of HIS
does an aquatic
ecologist need?
• LeRoy Poff is our
expert in this area
Hydrology
Ecology
Geomorphology
Some Conclusions
• Hydrologic Observations Database design works
and is ready for independent review and testing
• Automated data harvesting may produce a “one
stop shop” for observational data
• There will never be enough database fields to
describe all we want to know about data
• We need a hybrid database—files solution
– This is what the San Diego Supercomputer Center
is doing for us
Relational
database
“Pile of files”
Hydrologic Information System
Sensor Network Interfaces to Digital Library
John Helly is our expert in this subject!
Example is for wireless network in Santa Margarita watershed, San Diego
HydroViewer Provides Access to…
http://cuahsi.sdsc.edu
Neuse Watershed Collection
Santa Margarita Watershed
Collection
+ your Hydrologic Observatory Data Collection
21
CUAHSILink enables ArcMap to read files directly from the Digital
Library through an application programming interface
New Concept of Publication
Normal Method
+
Hydrologic
Digital Library
23
Page 3
The Demands
Numerical Models
Prediction
Air-Q
Sensor Arrays
HSPF
MM5
NCDC
METADATA
USGS
NWIS
NCEP
NWS
Data Centers
Drexel University, College of Engineering
NGDC
Individual
Samples
Page 10
Ontologies for Metadata Profile
Hydrologic Metadata
A consistent suite of
geographic information
schemata that will allow
Geographic information
to be integrated with
information technology.
ISO norm 19115.
Semantic WEB
Hydrologic Ontology
www.isotc211.org
Definition: The Semantic Web is
the representation of data on
the World Wide Web. It is based
on the Resource Description
Framework (RDF), which integrates
a variety of applications using
XML for syntax and URIs for naming.
http://www.w3.org/2001/sw/
Prepare the CUAHSI
Metadata Profile
for the Future!
Drexel University, College of Engineering
"The Semantic Web is an extension of
the current web in which information is
given well-defined meaning, better
enabling computers and people to work
in cooperation."
Page 21
More Ontologies
Upper Hydrologic Ontology
We currently
What
we need
have
is
Many More
ISO 19108 Temporal Objects
ARCHydro
Many More
ISO 19115 Geospatial
ISO 19103 Units/Conversion
USGS Hydrologic Unit Code
Hydrologic Processes
Sedimentation
Many More
Michael Piasecki is our
expert in this subject!
Drexel University, College of Engineering
Many More
Ontology Examples
Hydrologic Information System
2. Hydrologic Representation
Hydrologic
Observation
Data
(Relational database
or delimited ascii)
Geospatial
Data
(GIS)
Digital
Watershed
Remote Sensing
Data
Weather and Climate
Data
(EOS-HDF)
(NetCDF)
Hydrologic Data Model
Hydrologic Fluxes and Flows
Digital Watershed
(Atmospheric, surface and subsurface water)
We need to represent the physical environment
and water flowing through it
Digital Watershed:
An implementation of the CUAHSI Hydrologic Data
Model for a particular region
Created first for the Neuse basin
Neuse Atmospheric Water
• Daily precipitation
data from NCDC
gages
• Nexrad daily rainfall
rasters
• Land surface –
atmosphere fluxes
from North American
Regional Reanalysis
of climate
Neuse Surface Water
• Streamflow, water quality
hydrologic observational
data
• GIS: River network, water
bodies, watersheds,
monitoring points
• Land cover, soils,
• MODIS remote sensing
(Praveen Kumar)
MODIS
Terrain and Land Cover
http://neuse.crwr.utexas.edu/
ArcIMS Web Server displaying data
compiled in Neuse HO Planning Study
Neuse Basin: Coastal aquifer system
Section line
Beaufort Aquifer
* From USGS, Water Resources Data Report of North Carolina for WY 2002
Neuse Groundwater
Geovolumes of hydrogeologic units
from US Geological survey (GMS)
Create a 3 dimensional
representation
Geovolume
Each cell in the 2D
representation is transformed
into a 3D object
Geovolume with model cells
HIS-USA
• Base map information for
building digital
watersheds anywhere in
the US
• Hydrologic Observatory
regions
• Monitoring site files
• National river network
connected to HUC
watersheds
• Hydrologic landscape
regions
Hydrologic Information System
3.Hydrologic Analysis
Hydrologic
Process Modeling
Statistics and
Hypothesis Testing
Digital
Watershed
Visualization
Data Mining
and Knowledge Discovery
Data
Driven
Discovery
Tools
Praveen Kumar is our
expert on this subject!
Time Series Analysis
D
Geostatistics
Data to Knowledge
Multivariate analysis
Jan
Feb
4-D
Data
Model
Time, T
Image to Knowledge
D
Space, L
Variables, V
Data
Files
Hydrologic Flux Coupler
Hydrologic Fluxes and Flows
Digital Watershed
(Atmospheric, surface and subsurface water)
We want to do water,
mass, energy and water balances
Neuse
Observatory
Prototype
Study
HydroVolumes
Take a watershed and extrude it vertically into the atmosphere
and subsurface
A hydrovolume is “a volume in space through which water, energy
and mass flow, are stored internally, and transformed”
Watershed Hydrovolumes
Hydrovolume
Geovolume is the
portion of a hydrovolume
that contains solid
earth materials
USGS Gaging stations
Stream channel Hydrovolumes
Continuous Space Data Model -NetCDF
Time, T
Coordinate
dimensions
{X}
D
Space, L
Variables, V
Variable dimensions
{Y}
Discrete Space-Time Data Model
Time, TSDateTime
TSValue
Space, FeatureID
Variables, TSTypeID
Flux Coupling Table
Coupling table links all features that have
flux and flow data needed for the water balance
All Hydrofeatures
have a unique HydroID
9748
9614
9623
9749
Flux and flow data
Flows and Fluxes
Q
P, E, R
Net Inflow and Cumulative Storage
Monthly water balance for one watershed hydrovolume for 2001
Storage
Net Inflow
This water balance does not close very well – we need better data!
Hydrologic Information System
A combination of geospatial and temporal hydrologic information
which supports analysis, modeling and decision making
Modeling
Connecting Arc Hydro and Hydrologic Models
Interface
data models
GIS
HMS
Geo
Database
Arc Hydro
data model
This requires time series data bridges
between geodatabase and binary
files for hydrologic models
RAS
Modflow
Conclusions
• Hydrologic Observations Database and
Hydrologic Digital Library are functional and
reading for testing
• Digital Watershed for Neuse has been built
and can be expanded
– we’d be pleased to work with other
Observatory teams to help them build a Digital
Watershed
• Work on hydrologic flux coupler is
developing