CUAHSI (the Consortium of Universities for Advancement of Hydrologic Science) in the USA (http://www.cuahsi.org/) have made a range of US government hydrological databases accessible on-line as though they were one database. Their Hydrologic Information System (HIS) (http://his.cuahsi.org) provides web services, tools, standards and procedures that enhance access to more and better data for hydrologic analysis.
They have worked with the OpenMI team and have incorporated a version of the OpenMI editor for linking models as part of their system, HydroDesktop.
David Maidment, of the University of Texas, explains: "Dan Ames of Idaho State University presented a HydroDesktop demo which included a plugin for OpenMI prepared by Jon Goodall of the University of South Carolina. Dan had downloaded rainfall data from Nexrad and stored it in HydroDesktop’s time series database. He opened an OpenMI configuration of modeling components for watershed rainfall to runoff simulation, carried out the simulation, wrote the result back into the HydroDesktop database, and then viewed the input and output data in the time series analyst graphing system for OpenMI developed at Utah State University."
He continues: "What we have done with our WaterML data services is abstract, and applies for any kind of water resources time series data. What the OpenMI Association has done in Europe (http://www.openmi.org/) is to create an abstract framework for the integration of water resources simulation models that also read and write time series data. The European Commission investment in OpenMI amounts to more than 10 million Euros and has taken 7 years to reach its current state of maturity. This investment was prompted by the desire to have integrated water modeling covering the whole spectrum of the water cycle, not just individual models of this or that component process. What the integration of these things within HydroDesktop (http://hydrodesktop.codeplex.com/) does is really for the first time create a functional Hydrologic Information System that connects data and modeling...Our work on data complements their work on modeling. Probably the combination is worth as much as either component by itself. This is an outstanding example of the complementarity of research done in the US and Europe."
Further information on these initiatives can be obtained by following the website links enclosed or by contacting the OpenWEB administration team.