Browsing ⇒ IQuOD:International Quality-controlled Ocean Database Project by Title

Now showing items 4-6 of 6

    • A Framework to Quality Control Oceanographic Data. 

      Castelao, Guilherme P. (2020)
      The ocean is an intrinsically challenging environment to collect data, which makes spurious measurements inevitable. Thus, the quality of oceanographic datasets is highly dependent on the ability to identify and remove ...

    • International Quality-Controlled Ocean Database (IQuOD) v0.1: The Temperature Uncertainty Specification. 

      Cowley, Rebecca; Killick, Rachel E.; Boyer, Tim; Reseghetti, Franco; Kizu, Shoichi; Palmer, Matthew D.; Cheng, Lijing; Storto, Andrea; Le Menn, Marc; Simoncelli, Simona; Macdonald, Alison M.; Domingues, Catia M. (2021)
      Ocean temperature observations are crucial for a host of climate research and forecasting activities, such as climate monitoring, ocean reanalysis and state estimation, seasonal-to-decadal forecasts, and ocean forecasting. ...

    • SalaciaML: A Deep Learning Approach for Supporting Ocean Data Quality Control. 

      Mieruch, Sebastian; Demirel, Serdar; Simoncelli, Simona; Schlitzer, Reiner; Seitz, Steffen (2021)
      We present a skillful deep learning algorithm for supporting quality control of ocean temperature measurements, which we name SalaciaML according to Salacia the roman goddess of sea waters. Classical attempts to ...