This week of training dedicated to handling ocean wave data and numerical wave modelling will mark the end of the IOWAGA project, with many developments now mature and ready to be used by other researchers and engineers, providing a more accurate and comprehensive view on ocean waves and their role in the Earth system.
This training also coincides with the new release - version 4.12 - of the numerical wave prediction model WAVEWATCH III. These are the two main reason to host a "short course" under the aegis of Labex Mer, in Brest. We have accepted 25 eager candidates for a week of training dedicated to handling ocean wave data and numerical wave modelling. This short course will be repeated in March 2014, and will later alternate with a course organized by NCEP and the University of Maryland.
From Monday 4 to Friday 8 we will train researchers and engineers to the use of wave data, including the seismic noise work developped during the IOWAGA project, a numerical wave modelling, with an emphasis on the new features implemented in WAVEWATCH III: different physical parameterizations and different types of grids.
All information for the participants can be found here: relevant wiki pages including information about the live streaming of the morning lectures.The WAVEWATCH III code (version 4.12) is now avaiable from NOAA/NCEP, with many contributions coming from SHOM and Ifremer. Specific developments have been made for the IOWAGA project and an ongoing U.S. NOPP project. In particular, new parameterizations have led to more accurate wave forecasts, already operational at Meteo-France and NOAA/NCEP. The new unstructured grid capabilities, developed with Aron Roland (T.U. Darmstadt) have also allowed unprecedented high resolution in coastal applications, and these are used every day in the Previmer forecasting system.
The goals of the course are to make users fluent in the use of wave data from various sources and how these data should be interpreted, and also to help them use the WAVEWATCH III model, to generate their own data (hindcasts, forecasts, climatology ...)
This short course is part of a series of course in marine sciences organized by the Labex Mer.