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OpenMI Awards 2010 Winners Announced

posted 1 Jul 2011, 06:12 by Johan Van Assel   [ updated 26 Mar 2012, 12:27 by Johan Van Assel ]
The OpenMI Association is pleased to announce the winners of the OpenMI Awards 2010. These awards reward excellence in the use and development of the Open Modelling Interface standard. They focus on the contributions of individuals and groups in furthering the application and evolution of OpenMI. The three winning entries are given below.

  1. OpenMI based Integrated Modelling Environment (TU Darmstadt ihwb)

  2. A river pollution integrated modelling environment based on OpenMI.

    The TU Darmstadt has developed an integrated modelling environment based on OpenMI. The environment is designed for the immission based assessment of combined sewer overflow (CSO) impacts. Therefore, a hydrological pollution load model was coupled with a hydrological river model including water quality. Formerly the environment was developed as part of a project aiming at the development of a simulation based analysis and planning methodology for the German Federal State of Hessen to identify critical impacts due to CSOs and WWTP effluents. Now the environment is developed further with rural catchment areas, integration of extern rainfall data and output data in the netCDF standard.

    For more information : contact Frank Reussner or Manfred Ostrowski

  3. The WISKI 7/KiTSM (KISTERS) has become OpenMI compliant

  4. OpenMI compliant models can now be linked to WISKI

    WISKI7 is the result of almost 25 years experience collected in the global water industry. A WISKI today integrates hydrometric data collection processes into any kind of IT environments and provides a turn key solution from data collection, validation, calculation of derived data products to data dissemination. WISKI is installed around the world from small scale to enterprise solutions processing time series data in archive or real time mode.

    The core of WISKI7 is the KiTSM technology. KiTSM is the KISTERS Time Series Server. It is developed in JAVA and acts as an intelligent business layer in highly scalable multi tier architecture. With its interfaces, data consumers such as models are provided with controlled open access to constantly up to date data. Raw data, validated data, statistical data products (such as long term values) and derived data sets are accessible through the API.

    The KiTSM OpenMI extension now integrates OpenMI compliant models or modules. Compliant models can browse and retrieve any source of time series data through a local area network or even through the Internet.

    For more information : contact Michael Natschke

    Read the original announcement

  5. OpenMI Wrapping of the HR Wallingford Standard Time Series Data Source (HRW Floods Group)

  6. An OpenMI wrapper of the OGC Web Feature Server Standard

    HR Wallingford has recently developed a new point-based time-series data collection, storage, retrieval and portrayal mechanism called the Future Service Chain Platform (FSCP). Service chains are built offering to the internet standardised OGC Web Features containing point timeseries data.

    The feature types available through the FSCP are made accessible to the internet via HTTP strings from Geoserver, an open source spatial data engine, in a form that is compliant with OGC Web Feature Services (WFS) and Web Map Services (WMS). It is therefore possible to build OpenMI components that have the capability to access these data services. In this way FSCP architectures can integrate pre-prepared or real time data into model compositions acting as boundary conditions or calibration for the rest of the composition.

    For more information : contact James Lanyon

    Read the original announcement