Title: CUAHSIHydrologic Information Systems
1CUAHSI-Hydrologic Information Systems
UCAR
- CUAHSI Consortium of Universities for the
Advancement of Hydrologic Science, Inc - Formed in 2001 as a legal entity
- 100 member universities (May 2005)
- Program office in Washington (5 staff)
- Rick Hooper is Executive Director
Unidata
Atmospheric Sciences
Ocean Sciences
Earth Sciences
CUAHSI
NSF Geosciences Directorate
HIS
2CUAHSI Hydrologic Information Systems
3CUAHSI Hydrologic Information System
4Environmental Cyberinfrastructure
- Part of NSF Cyberinfrastructure program
- CUAHSI Hydrologic Information Systems is one of
several pilot projects CUAHSI, CLEANER, ORION,
NEON, GEON, ..
5Cyberinfrastructure Components
6Workflow Sequencing using ModelBuilder
7HIS Goals
- Data Services for Hydrologists get me the data
I want quickly and painlessly - Support for Observatories data structure for
Digital Watersheds - Advancement of Hydrologic Science flux coupler,
HydroObjects - Hydrologic Education how to get data into the
classroom
8Digital Watershed
Hydrologic Observation Data
Geospatial Data
(GIS)
(Relational database or delimited ascii)
Digital Watershed
Remote Sensing Data
Weather and Climate Data
(NetCDF)
(EOS-HDF)
9CUAHSI HIS Overview
- HIS User Assessment
- Hydrology Data Portal
- Digital Watershed
- Hydrologic Analysis
10HIS User Assessment
- First survey done for HIS White Paper (2003)
- HIS Symposium in March 4 institutional surveys
and a survey of participants - CUAHSI Web Surveyor developed by David Tarboton
and Christina Bandaragoda (75 responses from 38
institutions) - Summary paper circulated by email yesterday
11Please rank these four HIS service categories for
helping you.
Value Score (counting 4 for first, 4 for second,
2 for third and 1 for fourth).
Conclusion Data services are the highest
priority
12 of time spent preparing data
13- Which operating systems do you use for your
research? If you use more than one operating
system, select all that apply.
14Please indicate one dataset that you believe
would most benefit from increased ease of access
through a Hydrologic Information System (HIS).
Conclusion EPA STORET Water Quality, Streamflow
and Remote Sensing Data are perceived to be able
to benefit from improved access.
I am surprised USGS streamflow is up there. Is
this an indication of importance over difficulty?
15How we use software (Austin Symposium)
16Which of the following data analysis difficulties
are most important for HIS to address?
Conclusion High priorities are - Data
formats - Metadata - Irregular time steps
Value Score (counting 3 for first, 2 for second
and 1 for third).
17How we use software (Web Surveyor)
- Programming (85 of respondents) Fortran, C/C,
Visual Basic - Data Management (93) Excel, MS Access
- GIS (93) ArcGIS
- Mathematics/Statistics (98) Excel, Matlab, SAS,
variety of other systems - Hydrologic models (80) Modflow, HEC models
- A general, simple, standard, and open interface
that could connect with many systems is the only
way to accommodate all these
18CUAHSI HIS Overview
- HIS User Assessment
- Hydrology Data Portal
- Digital Watershed
- Hydrologic Analysis
19Hydrologic 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
Groundwater levels
Precipitation Climate
Soil moisture data
Flux tower data
Water Quality
20Hydrologic Observations Data Model
Relationships
Review conducted by David Tarboton with 22
responses redesign of this model is now being
done
21ProposedCUAHSI Observations Database
Schema(for details see chap 6 at
http//www.cuahsi.org/docs/HISStatusSept15.pdf)
22Example Lake Water Chemistry
23Data Access and Viewing System in ArcMap
24(No Transcript)
25CUAHSI Data Portal
26CUAHSI Data Portal
27Plot from the Hydrology Data Portal
Produced using a CUAHSI Hydrology Web Service
getDailyStreamflowChart
28CUAHSI Hydrology Web Services for
NWIShttp//water.sdsc.edu/HydrologicTimeSeries/NW
IS.asmx
29Documentation getDailyStreamflowChart
https//webspace.utexas.edu/jgoodall/HydrologicTim
eSeriesWebServices.htm
30Applications and Services
Web application Data Portal
- Your application
- Excel, ArcGIS, Matlab
- Fortran, C/C, Visual Basic
- Hydrologic model
- .
- Your operating system
- Windows, Unix, Linux, Mac
Internet
Web Services Library
31Utah State University Streamflow Analyst
32CUAHSI HIS Overview
- HIS User Assessment
- Hydrology Data Portal
- Digital Watershed
- Hydrologic Analysis
33Digital Watershed
How can hydrologists integrate observed and
modeled data from various sources into a single
description of the environment?
34Digital Watershed
Hydrologic Observation Data
Geospatial Data
(GIS)
(Relational database or delimited ascii)
Digital Watershed
Remote Sensing Data
Weather and Climate Data
(NetCDF)
(EOS-HDF)
A digital watershed is a synthesis of hydrologic
observation data, geospatial data, remote
sensing data and weather and climate data into a
connected database for a hydrologic region
35Digital WatershedAn implementation of the
CUAHSI Hydrologic Data Model for a particular
region
Created first for the Neuse basin
36Neuse Atmospheric Water
- Daily precipitation data from NCDC gages
- Nexrad daily rainfall rasters
- Land surface atmosphere fluxes from North
American Regional Reanalysis of climate
37(No Transcript)
38Neuse 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
39http//neuse.crwr.utexas.edu/
ArcIMS Web Server displaying data compiled in
Neuse HO Planning Study
40Neuse Basin Coastal aquifer system
Section line
Beaufort Aquifer
From USGS, Water Resources Data Report of North
Carolina for WY 2002
41Neuse Groundwater
Geovolumes of hydrogeologic units from US
Geological survey (GMS)
42Create a 3 dimensional representation
Geovolume
Each cell in the 2D representation is transformed
into a 3D object
Geovolume with model cells
43Page 3
The Demands
METADATA
Drexel University, College of Engineering
44Page 21
Hydrologic Metadata
We currently have
What we need is
Michael Piasecki is our expert in this subject!
Ontology Examples
Drexel University, College of Engineering
45CUAHSI HIS Overview
- HIS User Assessment
- Hydrology Data Portal
- Digital Watershed
- Hydrologic analysis
46Hydrologic Analysis
Statistics and Hypothesis Testing
Hydrologic Process Modeling
Digital Watershed
Visualization
Data Mining and Knowledge Discovery
47Data Driven Discovery Tools
Praveen Kumar is our expert on this subject!
48Data to Knowledge
D2K
Feb
Jan
4-D Data Model
Image to Knowledge
i2K
Data Files
49Hydrologic Flux Coupler
Hydrologic Fluxes and Flows
Digital Watershed(Atmospheric, surface and
subsurface water)
We want to do water, mass, energy and water
balances
50Neuse Observatory Prototype Study
51HydroVolumes
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
52Watershed Hydrovolumes
Hydrovolume
Geovolume is the portion of a hydrovolume that
contains solid earth materials
USGS Gaging stations
53Stream channel Hydrovolumes
54Atmospheric science hydrology
- Weather and climate fields are the drivers
continuous in space and time across the nation - Local watersheds are the reactors each behaving
according to its location and characteristics
55GeoTemporal Reference Frame
- A defined geospatial coordinate system for
(x,y,z) - A defined time coordinate system (UTC, Eastern
Standard Time, .) - A set of variables, V
- Data values v(x,y,z,t)
Time, t
v data values
Space (x,y,z)
Data Cube
Variables, V
56Continuous Space-Time Model -- NetCDF
Time, T
Coordinate dimensions X
D
Space, L
Variable dimensions Y
Variables, V
57Discrete Space-Time Data Model
Time, TSDateTime
TSValue
Space, FeatureID
Variables, TSTypeID
58Geospatial Time Series
Time Series Properties (Type)
A Value-Time array
A time series that knows what geographic feature
it describes and what type of time series it is
Shape
59Neuse Water Balance
Define the fluxes and flows associated with each
hydrovolume
Evaporation
Precipitation
Streamflow
Groundwater recharge
60Coupling Table Connects fluxes and flows with
hydrovolumes
Hydrovolume object
A geospatial time series object
A geospatial time series object vector
61Monthly Fluxes and Flows
P, E, R
Q
62Net 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!
63HydroObjects Class Library
Web Services
Custom Models
HydroObjects API
ArcGIS
Excel
Matlab
Remote and local Data sources
Backbone of a Hydrologic Information System
64Conclusions
- Hydrology Data Portal is a common data window on
point observation data sources - CUAHSI web services library supports the data
portal and local applications on your computer - Digital watershed is a data fusion of point
observations, GIS, remote sensing and weather and
climate grids - Hydrologic Flux Coupler key to integrating
atmospheric, surface and subsurface water