Download - Hydrologic Data Management for CMAS
Hydrologic Data Management for CMAS
CUAHSI HIS: NSF support through 2012 (GEO), ~10 mil invested
Partners:Academic: 11 NSF hydrologic observatories, CEO:P projects, LTER…Government: USGS, EPA, NCDC, NWS, state and localCommercial: Microsoft, ESRI, KistersInternational: Australia, UKStandardization: OGC, WMO (Hydrology Domain WG, CHy); adopted by USGS, NCDC
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.
Ilya Zaslavsky, UCSD
Consortium of Universities for the Advancement of Hydrologic Science, Inc.
An organization representing more than one hundred United States universities, receives support from the
National Science Foundation to develop infrastructure and services for the advancement of hydrologic
science and education in the U.S.http://www.cuahsi.org/
122 US Universities as
of July 2008
Integration of Disparate Data
All accessible through standard WaterML interface.Currently over 1.75 mil stations, servers in US and Australia. Free software
Deployment
HIS in CMAS• Premise:– Having a consistent data infrastructure for modeling across city will make it easier to calibrate and
customize models, compare results, will support a variety of other analysis, visualization and modeling efforts, reduce duplication in data collection, support partnerships
• Plans:– Capacity building workshops (first hands-on workshop is planned in Malaysia in July, have seed
funding)– Setting up HIS Servers to help publish local hydrologic data + training– Create an online forum for hydrologic modeling in tropical areas– Analyze hydrologic data availability for study cities; calibrate available remote sensing data for use as
Geo-HMS inputs– Adjust data protocols, validate standards and ontologies based on local context
• To date:– Project web portal partly built (participants can edit content, upload data, use wiki, etc.).
Currently has documents, links to data and modeling resources, news feeds, etc.– TRMM investigated as possible source of precipitation data (
http://river.sdsc.edu/wiki/TRMM%20notes.ashx.)