HydroDesktop: A Key Component of the CUAHSI/CZO HIS for Hydrologic Data Discovery, Visualization, and Analysis Daniel P. Ames, Ph.D. P.E. Idaho State University.

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Presentation transcript:

HydroDesktop: A Key Component of the CUAHSI/CZO HIS for Hydrologic Data Discovery, Visualization, and Analysis Daniel P. Ames, Ph.D. P.E. Idaho State University With Jiří Kadlec, Jeff Horsburgh, Yang Cao, and many others…

Where does HydroDesktop Fit in CUAHSI HIS? Discovery Hydroseek Access HydroDesktop Modeling HydroLink + OpenMI Analysis MATLAB, Excel, GIS, R, … Web services and Schema WaterOneFlow and WaterML to transmit hydrologic data in a standard way GetSites GetSiteInfo GetVariableInfo GetValues Observatories publication and archival of field data The CUAHSI Hydrologic Information System (CUAHSI-HIS) provides web services, tools, standards and procedures that enhance access to more and better data for hydrologic analysis. The web services use an XML based format for communicating hydrologic data, called WaterML. HIS web services support access to National Datasets such as the USGS National Water Information System (NWIS) and EPA Storage and Retrieval System (STORET), in a standard way. Users anywhere with access to the internet can save their data in a relational database format, called ODM, and register it with CUAHSI HIS to publish their data. Popular software for working with data, such as Excel, MATLAB and a variety of computer programming languages can access HIS data directly using web services. This lets users work with familiar software rather than having to learn something new. store and share hydrologic data HIS Server ODM Data repository Service Registry catalog hydrologic data services and metadata HIS Central 3rd-Party Servers include data from others An internet based system to support the sharing of hydrologic data comprising databases connected using the internet through web services as well as software for data discovery, access and publication.

Where does HydroDesktop Fit in HIS Internet based system to support the sharing of hydrologic data comprised of hydrologic databases and servers connected through web services and software for data publication, discovery and access. Metadata CUAHSI HIS Sharing hydrologic data Data Discovery and Integration HIS Central Analysis Data Data Publication HydroServer WaterML GML OGC Services Data Synthesis and Research HydroDesktop ODM Geo Data Support EAR 0622374

HydroDesktop will be a key component of the HIS Project and serves as a desktop client to provide access to HIS Services. HydroDesktop will include capabilities for data discover, download, visualization, modification and export through a simple open source GIS based desktop application.

CZO Data System Overview CZO Central CZO HydroDesktop GetSites GetSiteInfo GetVariableInfo GetValues WaterML Data Store WaterOneFlow Web Service Harvester ASCII text CZO Servers Boulder Shale Sierra Luquillo Jemez Christina Standardized web based display

How Open Source Works HIS INRA CZO

HydroDesktop Design Specifications available at www.hydrodesktop.org

Made with…

HydroDesktop Plug-in Development AdvancedSearch.dll HydroModeler.dll DataFetcher.dll Plugins HydroDesktop.exe MapWindow.dll HydroDesktop.Database.dll See “Documentation” Link on hydrodesktop.codeplex.com to learn how to write a plug-in. The functionality of HydroDesktop can be extended by plug-ins. Each plug-in needs to reference the library MapWindow.dll and implement the MapWindow 6 plugin interface. Any existing MapWindow 6 GIS plug-in can be used as a HydroDesktop plug-in. To easily access data from the HydroDesktop local database, a plugin can use functions from the HydroDesktop.Database.dll library (data abstraction layer) Search and Download Graph View Data Export Metadata Fetcher HydroModeler (Open MI) Existing plugins

HydroDesktop GIS Capabilities Add shapefiles to map Change symbology and labels Print and export map GIS toolbox and Modeler GIS Search for data Download data Display time series Export data Hydrology

HydroDesktop Data Search Search Criteria Region Keywords (variable) Time range Web services Example: Snow in Idaho 2000 - 2009 User can search for available data by geographic region, variable, time range and web service. The variable, time range and web service criteria are optional.

HydroDesktop Data search – select region Draw bounding box Select polygons Select State Select County Select HUC Code Region selection User can search for available data by geographic region, variable, time range and web service. The variable, time range and web service criteria are optional.

HydroDesktop Data search – select keywords One or more keywords can be selected. The list of available keywords is retrieved from HIS Central

HydroDesktop Data search – Search Results Snow - Idaho Search results are shown in a map and in a table. User can refine the search by selecting a subset of data series in the table or map.

HydroDesktop Data Download After refining the search, HydroDesktop connects to one or more WaterOneFlow web services and downloads the observation data. The downloaded data is stored in a local SQLITE database. The measurement sites are displayed on the map as a new theme.

Graphing Capabilities

Graphing Capabilities

Graphing Capabilities

Tabular Data View

OpenMI HydroModeler

What’s Being Done for CZO…? Idaho State University is leading the development of HydroDesktop including a set of CZO specific plugins for accessing data from CZO central and specific CZO data portal web sites. CZO HydroDesktop OpenMI HIS Yang Cao, Idaho State University Visiting Scholar and CZO HydroDesktop programmer…

Enhanced Base Map from Online Data

Streamlined GUI and Search Search option integrated with Main Map View SQL-Lite Load Saved queries

Integration with ArcGIS Online CLIP ZIP SHIP

OLAP Data Cube Reanalysis and visualization: 2018/9/17 AWRA

Integration with “R” Statistics Package

Integrated toolbox and ModelBuilder

Integrated Time Series Modeling + GIS Environment NOAA Coastal Services Center

HydroDesktop: A Key Component of the CUAHSI/CZO HIS for Hydrologic Data Discovery, Visualization, and Analysis Daniel P. Ames, Ph.D. P.E. Idaho State University With Jiří Kadlec, Jeff Horsburgh, Yang Cao, and many others…