A procedure designed for the operational prediction of storm surge in northern Adriatic Sea is presented.
To the best of our knowledge, the only operational prediction model that incorporates the physical mechanism of SEPs was developed by Aran et al. (2006), who predicted the SEP intensity profile from numerical simulations of interplanetary shock propagation and energetic particle transport.
The operational prediction of ocean currents is necessary for carrying out a variety of activities such as shipping and towing as well as search and rescue, tracking pollutants and oil spill, monitoring coastal water quality, forecasting power output from current energy farms, and, issuing warnings to fishermen and to organizers of sports and swimming events.
Until this time, and until a better understanding of the dynamics of marine systems is attained, data assimilation in coupled physical-biological models will be likely to be used more for model improvement and parameter estimation than for operational prediction.
Work in [22] showed the superiority of ME to GC in both mean results and operational limit predictions.
This is particularly so in a unified modeling environment in which the same dynamical core is used for both operational weather prediction and long term climate simulations.
The set up of a complete operational hydrometeorlogical prediction chain will require coupling of meteorological, hydrological, and hydraulics models and data assimilation algorithms.
Recently, a coupled land-sea model was developed to generate an operational ocean prediction system in the bay to inform fishermen of the ocean state in real time (Nakada et al. [2012a]).
The skill of hydrologic models, such as those used in operational flood prediction, is currently restricted by the availability of flow gauges and by the quality of the streamflow data used for calibration.
Based on a comparison with the Japan Meteorological Agency's operational Ensemble Prediction System, Kajikawa et al. (2015) pointed out that the better reproducibility of the tropical disturbances seen in the NICAM results extended the predictability of the Asian summer monsoon transition phase.
