The CUAHSI Hydrologic Information System (HIS) is an internet-based
system for sharing hydrologic data. It is comprised of databases and servers,
connected through web services, to client applications, allowing for the
publication, discovery and access of data.
Key Components of CUAHSI-HIS:
There are three types of computers that store and process data:
HIS Central — contains copies of metadata which facilitates searches; works like a search engine, in that it harvests metadata from the data servers and allows it to be efficiently searched by the clients.
HydroServer — stores, organizes and publishes data; allows metadata to be harvested by HIS Central and data to be shared with clients.
Clients (such as HydroDesktop) — gives users a convenient interface to access data; retrieves metadata from HIS Central and retrieves data from HydroServers.
and three types of web-services that allow the computers to communicate via the internet:
Data Services — allows water and related spatial data to be retrieved by the client (such as HydroDesktop) computers.
Search Services — allows the client computers to perform searches of the search catalog at HIS Central.
Metadata Services — allows HIS Central to retrieve the metadata necessary to build the search catalog.
that make-up the core of CUAHSI-HIS.
What you can do with CUAHSI-HIS?
There are three main ways to interact with CUAHSI-HIS:
Data Users — search for data, retrieve data, organize data, analyze data and/or use data for modeling.
Data Publishers — organize data, store data, and make data available to others.
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Tool and Technique Developers — create and share additional tools and techniques that are compatible with the CUAHSI-HIS system. While the CUAHSI-HIS team has developed many of the key tools and techniques for HIS, the team is only producing a few of the many possible pieces that could be incorporated into this system. This leaves open numerous opportunities for others, throughout the hydrologic community, to contribute to HIS, by developing additional tools and techniques.
What the CUAHSI-HIS team is doing for you?
The CUAHSI-HIS team has developed, and continues to make improvements to, a standards-based system for storing, managing, organizing, indexing, documenting and sharing data. In addition, it has developed, and is continuing to develop, tools and techniques for implementing many of the key pieces of this system. Finally, the team is providing on-going community support via numerous channels, including: forums/wikis, workshops, papers and presentations.
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What's New
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This version of HydroExcel includes improved parsing of State and Country information from WaterML 1.1.
[To Download]
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CUAHSI will present a series of 4 webinars this Fall on various topics related to using the CUAHSI Hydrologic Information System (HIS). These webinars will highlight how to use features and functions of the HIS system.
[Details]
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We had a great Conference on Hydrologic Data and Information Systems on June 22-24, 2011 in Logan, Utah. This was a unique forum for users, publishers and developers to share, learn, and explore issues of interest to the hydrologic informatics community, including CUAHSI-HIS.
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HydroServer at the Arlington Regional Data Center
The NHWC Transmission describes in it's lead article, how the University of Texas at Arlington, together with NWS and other state and federal agencies, are using a CUAHSI-HIS HydroServer to ingest, store, and disseminate daily precipitation data (Multi-Sensor Precipitation Estimator values) from the National Weather Service – West Gulf River Forecast Center (WGRFC).
[View Article]
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The CUAHSI HIS Team has produced a 2010 Status Report that details the current architecture of the system and anticipated changes for the next year. Let us know your thoughts about it using our feedback page.
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See a video where HydroDesktop is used to find, get and analyze the data necessary to describe the hydrology of Jacob’s Well Spring. There is an accompanying exercise document to go with it.
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We have put together a description of a possible new data access control approach for point observation data. Let us know your thoughts about it using our feedback page.
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