• Embarrassingly Distributed Computing for Symbiotic Weather Forecasts 

      Fjukstad, Bård; Bjørndalen, John Markus; Anshus, Otto (Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
    • Multi-Locality Based Local and Symbiotic Computing for Interactively fast On-Demand Weather Forecasting for Small Regions, Short Durations, and Very High-Resolutions 

      Fjukstad, Bård (Doctoral thesis; Doktorgradsavhandling, 2014-09-19)
      Modern weather forecasting is based on forecasts from huge numerical models executed on large supercomputer clusters in large computer centers. Production deadlines for forecast and available computational resources are the main factors for having to limit the forecast region size, spatial resolution, forecast duration and detail level of the weather model used. Modern numerical models currently ...
    • Super sensor network 

      Fjukstad, Bård (Master thesis; Mastergradsoppgave, 2008-05-15)
      This dissertation studies composing a super sensor network from the combination of three functional sensor networks; A Sensor data producing network, a sensor data computing network and a sensor controlling network. The target devices are today labeled as large sensor nodes. The communication are based on an IP network using HTTP as the main protocol. Bonjour is used for service discovery, with ...
    • Uncertainty Estimation and Visualization of Wind in Weather Forecasts 

      Fjukstad, Bård; Bjørndalen, John Markus; Anshus, Otto (Chapter; Bokkapittel, 2014-01)
      The Collaborative Symbiotic Weather Forecasting system, CSWF, let individual users do on-demand small region, short-term, and very high-resolution forecasts. When the regions have some overlap, a symbiotic forecast can be produced based on the individual forecasts from each region. Small differences in where the center of the region is located when there is complex terrain in the region, leads to ...