Some notes on CyberGIS in hydrology

Ilya Zaslavsky

Spatial Information Systems LabSan Diego Supercomputer Center

UCSD

TeraGrid CyberGIS Workshop, February 2-3, 2010

CUAHSI HIS: NSF support through 2012 (GEO)

Partners:Academic: 11 NSF hydrologic observatories, CEO:P projects, LTER, CZO…Government: USGS, EPA, NCDC, NWS, state and localCommercial: Microsoft, ESRI, KistersInternational: Australia, UKStandardization: OGC, WMO (Hydrology Domain WG); adopted by USGS, NCDC, Army Corps of Eng

An online distributed system to support the sharing of hydrologic data from multiple repositories and databases via standard

water data service protocols; software for data publication, discovery, access and integration.

What is the CUAHSI HIS?UT-Austin, SDSC/UCSD, Utah State U, Idaho State U, Drexel U, U of So. CarolinaPI: D. R. Maidment (UT-Austin)

Test bed HISServers

Central HIS servers

ArcGIS

Matlab

IDL, R

MapWindow

Excel

Programming (C#, VB..)

Desktop clients

Customizable web interface

(DASH)

HTML - XMLW

SD

L - S

OA

P

Modeling (OpenMI)

Global search (Hydroseek)

Water Data Web Services, WaterML

Con

trol

led

voca

bula

ries

Met

adat

aca

talo

gs

Ont

olog

y

ET

L

serv

ices

HIS LiteServers

External data providers

Deployment to test beds

Other popular online clients

ODM DataLoader

Streaming Data Loading

Ontology tagging (Hydrotagger)

WSDL and ODM registration

Data publishing

ODMTools

Server config tools

HIS CentralRegistry & Harvester

Hydrologic Information System Service Oriented Architecture

HIS

Des

kto

p

CUAHSI Water Data Services

4

Map Integrating NWIS, STORET, & Climatic Sites 47 services

15,000 variables1.8 million sites9 million series

4.3 billion data values

The largest water datacatalog in the world

International Standardization of WaterML

5

OGC/WMO Hydrology Domain Working Grouphttp://external.opengis.org/twiki_public/bin/view/HydrologyDWG/WebHome

Towards an agreed upon - feature model- observations model- semantics

Expressed as WaterML 2.0By organizing - Interoperability Experiments and pilots,

standard design activities, webinars…

First OGC/WMO HydroDWG workshop : at Ispra, Italy, March 15-18, 2010

Why CyberGIS• Some critical CI issues we encountered

– Efficient management of large volumes of distributed spatio-temporal data

– Understanding and unifying data models across sub-domains of water– Development of data exchange standards– Community ontology management and curation

• When one writes a CyberGIScience proposal for hydrology…– Intellectual merit: reconciling different notions of space and time in a

field that describes water dynamics– Broad impact: spatial data integration at a scale where critical mass is

achieved fast, which makes it beneficial to broader multidisciplinary group of stakeholders, and thus sustainable

– Transformative: large distributed data interfaced with models, and coupled with provenance management resulting in a different rate and quality of simulations, larger models, and better decision-making