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CUAHSI HIS: Science Challenges Linking small integrated research sites (<100 km2) with global climate models Integrating data sets from multiple disciplines.

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Presentation on theme: "CUAHSI HIS: Science Challenges Linking small integrated research sites (<100 km2) with global climate models Integrating data sets from multiple disciplines."— Presentation transcript:

1 CUAHSI HIS: Science Challenges Linking small integrated research sites (<100 km2) with global climate models Integrating data sets from multiple disciplines to understand controls on hydrologic cycle and water balance across different scales, from catchment, to watershed, to region and continent Integrating observation and model-generated data commonly used at WATERS test beds Quantify and visualize the movement of water and chemicals continuously in space and time Integrated capacity to make scientific queries over nation’s repository of water data Understanding cyberinfrastructure needs of hydrologic research community, develop information models of hydrologic concepts Rapid access to multiple remote repositories of differently sampled and organized hydrologic observations Framework for publishing hydrologic data http://www.cuahsi.org/his/

2 Test bed HIS Servers Central HIS servers GIS Matlab IDL Splus, R Excel Programming (Fortran, C, VB) Desktop clients Customizable web interface (DASH) HTML - XML WSDL - SOAP Hydrologic Information System Service Oriented Architecture Modeling (OpenMI) Global search (Hydroseek) WaterOneFlow Web Services, WaterML Controlled vocabularies Metadata catalogs Ontology ETL services HIS Lite Servers 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

3 CI ChallengesExamples in HIS Better understanding of user needs and research scenariosUser surveys, workshops Integration of federal data collections, state agencies, observations from PI projects, streaming data MOUs with agencies, WaterML, common publication and data discovery Data modeling and integration tools for differently sampled and organized data (observations, grids, spatial data, multimedia) ODM and extensions Standardization of data exchange protocolsWaterML and WaterOneFlow services, CV management system Huge and heterogeneous nomenclatures, controlled vocabulary, identifier and ontology management and search Hydroseek and Hydrotagger, CV management system Supporting data registration and several modes of data discovery, plus rapid analysis of data availability Central publication and data discovery, OLAP, catalog harvesting Making the data available as model inputsWorking with OpenMI Leveraging and interoperation with other domain infrastructures: for atmospheric data, ocean observations, geology and geomorphology, etc. Incorporating THREDDS, integration with RBNB streaming middleware, GEON Definition and management of cross-scale complex objects, e.g. digital watershed, digital aquifer, river channel Ongoing Organizing development community around a common software development and licensing model Common CVS, BSD-licensed code Software packaging, support, training, maintenance and updates, data preservation, and - funding Production HIS HIS Server and HIS Server Lite for test beds, virtual servers at SDSC


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