Dear all,
We are pleased to invite you to the next WISE Webinar on the topic of Spectral Wave Modelling on 23/01/2025 at 4 PM (Paris time), 11 PM (Beijing time), 10 AM (Washington D.C. time).
Join us via https://tudelft.zoom.us/my/wisezoominars on 23rd January 2025.
First speaker: Jessica Meixner, NOAA, USA
Title: Development of the Coupled Wave Component for Operational Forecast Systems at NOAA
Abstract:
The Environmental Modeling Center (EMC), one of the National Centers for Environmental Prediction (NCEP) within the National Weather Service (NWS) at NOAA is responsible for is responsible for the development and implementation of numerical prediction systems. EMC is currently employing the Unified Forecast System (UFS) simplifying the operational suite of models. These UFS span both regional and global applications and time scales from hours to seasonal. The wave component of this system is the WAVEWATCH III (WW3). Within the UFS the wave component is currently capable of being coupled with the atmosphere, ocean, and ice components. This talk will give a current overview of coupled systems with wave components in operations and share future plans.
Second speaker: Zhiyi Gao, National Marine Environmental Forecasting Center, China
Title: A Finite Volume Wave Model
Abstract:
A new third-generation spectral wave model was developed primarily by the National Marine Environment Forecasting Center (NMEFC), called FVWAM (Finite Volume WAve Model). The numerical model applies spherical centroid Voronoi Tessellation (SCVT) grids and finite volume first-order advection algorithm. The numerical model has two deep-water source function schemes at present, namely WAM4 default scheme and WAM4+ scheme (similar to WAVEWATCH Ⅲ ST4). This model applies the parallel numerical algorithm based on grid partition and load balancing, and develops advanced computing technology, including the super-scale CPU parallel computing technology and advanced GPU accelerated computing technology. 130000 cores linear acceleration has been achieved on an Intel x86 supercomputer. The running speed of FVWAM on the GPU platform is two orders of magnitude faster than that on the CPU platform. Comparisons based on the HY-2B altimeter wave heights show that the model prediction skills are good, and the average relative error of the wave hindcast in the northwest Pacific region is less than 20%, and the root mean square error is less than 0.5 meters. The model can be used not only as a candidate of the wave component of the earth climate models, but also as a forecasting model of the lightweight numerical forecasting system at operational forecasting centers.
Please note that WISE Webinars including the Q&A will be recorded and posted on the WISE YouTube Channel afterwards (https://www.youtube.com/@wisezoominars). By participating, you consent to any information you share to be included in the recording and shared.
Best wishes,
Ton, Alvise, Bernard, Tripp, Morteza and Qingxiang.
(The WISE Webinar organizing committee)