March 2024 OES Beacon

IEEE OES -Talk on Marine Radar Wind and Wave Measurements for Short Term Forecasts

Weimin Huang, Chair of CWTMA Technology Committee  

Figure 1. Screenshot of webinar information.

On 8 February, the Current, Wave and Turbulence Measurement and Applications (CWTMA) Technology Committee (TC) organized a webinar that was open to all the OES members.

At the beginning of the webinar, the TC chair introduced the scope and interests of CWTMA TC concisely and encouraged more people to join the CWTMA TC community.

Next, an invited technical talk on “Marine Radar Wind and Wave Measurements for Short Term Forecasts” (see Fig. 1) was given by Dr. Jochen Horstmann, the Head of the Department of Radar Hydrography at the Helmholtz-Zentrum Hereon (Germany).

In Dr. Horstmann’s presentation, both non-coherent and coherent X-band marine radars are covered. Firstly, he gave an overview of marine radar’s applications in wave parameters as well as wave breaking, individual wave and internal wave measurement, wind field mapping, and bathymetry estimation (see Fig. 2).

Then, Dr. Horstmann introduced the development of new methodologies for ocean surface wind retrieval (see Fig. 3) and wind gust forecast (see Fig. 4) along with validation results.

Following that, how coherent X-band marine radar data can be used for individual wave measurement (see Fig. 5) and short term (30 to 60 s) wave field prediction (see Fig. 6) was described in detail.

All these research outputs are useful for improving the predictive control of offshore wind farms as well as aviation operations out at sea.

Finally, Dr. Horstmann outlined some ongoing tasks in this field. The 40-minute long presentation was well received with 20-minute heated and friendly discussion among about 20 attendees from different countries.

Note: All the figures are screenshots from Dr. Jochen Horstmann’s presentation.

Figure 2. Examples of marine radar applications.
Figure 3. Wind direction retrieval.
Figure 4. Wind gust prediction.
Figure 5. Wave parameters estimation.
Figure 6. Wave prediction.