Numerical wave modeling with WAVEWATCH III.
Global wave ensemble forecasts, with special attention to week 2 and beyond.
Neural networks applied to wind and wave forecasts.
Extreme value analysis and long-term statistics.
Stochastic process and spectral analysis.
Model validation combined with satellite and buoy data processing.
Ricardo Martins Campos, Ph. D.
Assistant Scientist (University of Miami/CIMAS), Physical Oceanography Division
“It is well known that wind-generated ocean waves are very complex to simulate. The combination of numerical models and machine learning algorithms has proven to be an excellent approach to improve the performance of wave forecasts. It is our mission to benefit from all the observations and methods, such as neural networks, to develop the best global wave forecast possible.”
Ricardo Campos has been studying and working in the fields of Ocean Engineering, Physical Oceanography, and Meteorology for the last 18 years, more specifically with ocean waves. Numerical and statistical modeling of wind-generated ocean waves, extreme value analysis, machine learning, and satellite and buoy data processing form part of his main duties. He combines technical background from the industry sector with research experience from universities, as well as being part of international committees and development groups. His knowledge of numerical wave modeling, neural networks, and observations (buoys and satellites) are essential components for the development of a next-generation wave forecast system – his main research interest.
2014, Ph. D. Naval Architecture and Marine Engineering, IST – University of Lisbon, Portugal
2014, Ph. D. Ocean Engineering, COPPE – Federal University of Rio de Janeiro, Brazil
2009, M. Sc. Ocean Engineering, COPPE – Federal University of Rio de Janeiro, Brazil
2006, B. Sc. Meteorology, IAG – University of São Paulo, Brazil
- Bernardino, M., M. Gonçalves, R.M. Campos, and G. Soare. Extremes and variability of wind and waves across the oceans until the end of the 21st century. Ocean Engineering, 275:114081, https://doi.org/10.1016/j.oceaneng.2023.114081 2023
- Campos, R.M. Analysis of spatial and temporal criteria for altimeter collocation of significant wave height and wind speed data in deep waters. Remote Sensing, 15(8):2203, https://doi.org/10.3390/rs15082203 2023
- Gramcianinov, C.B., R. de Camargo, R.M. Campos, C. Guedes Soares, and P.L. da Silva Dias. Impact of extratropical cyclone intensity and speed on the extreme wave trends in the Atlantic Ocean. Climate Dynamics, 60(5-6):1447-1466, https://doi.org/10.1007/s00382-022-06390-2 2023