Dr. Bahareh Kamranzad
PhD, Coastal Engineering
Kyoto University, Japan
Activity Database on Education and Research LINK
Email: kamranzad.bahareh.3m (at) kyoto-u.ac.jp
Research Topics (for details, please visit Research & Projects):
- Ocean renewable energies
- Climate change impacts
- Numerical wave modeling
- Wind and wave climate assessment
- Extreme events
- Coastal protection and resilience
Bahareh is an Assistant Professor at the Hakubi Center for Advanced Research, and Graduate School of Advanced Integrated Studies in Human Survivability (Gsais/Shishukan), Kyoto University. She has a bachelor's degree in Civil Engineering, an M.Sc. in Civil Engineering-Hydraulic Structures, and a Ph.D. in Civil and Hydraulic/Coastal Engineering. Her research activities mainly focus on ocean renewable energies, climate change impacts, wave climate and modeling, coastal protection, and extreme events. She has received several national and international awards, and has achieved highly competitive positions, including JSPS (Japan Society for the Promotion of Science) Postdoctoral Research fellowship (acceptance rate: less than 10%), and Hakubi Global Type full-time faculty position at Kyoto University (acceptance rate: around 3%).
She has contributed to several research projects as PI, Co-PI, and collaborator (see Projects), and has published more than 70 peer-reviewed journal papers and conference proceedings in her area of expertise (see Publications). She is a topic editor of Frontiers in Marine Science and guest editor of JMSE and Climate and is a co-founder of the International Integrated Wave Energy Research Group (IIWER) (see Contributions) and regularly acts as a reviewer of high-tier international journals such as Energy, Renewable Energy, Applied Ocean Research, Ocean Engineering, etc. In addition, she has been invited to give talks in several universities and research institutes and has given lectures in graduate and undergraduate courses (see List of invited talks and lectures).
My research areas are mainly climate change impacts, ocean renewable energies, wave climate and modeling, coastal protection, and extreme events. I have worked on developing long-term numerical wave modeling in various regions, assessing the wave energy on regional and local scales, and have developed novel factors to include climate variability in the definition of wave energy hotspots. I have improved the accuracy of previous wave modeling in regional scales using long-term wave modeling and modification and data assimilation in wind and wave climate, utilizing various resources such as re-analysis, satellite altimetry, and local measurements. In addition, I have worked on extreme value analysis (EVA) using different methods and used the generated mean and extreme wind and wave climate to define various climate zones on regional scales. As well as numerical modeling, I have utilized Artificial Intelligence (AI) and Machine Learning (ML) methods for wave forecasting and hybrid hindcasting introducing new combinations of inputs that generate wave characteristics with higher accuracy.
Moreover, I have worked on wind and wave climate projections using CMIP3 models (SRES scenarios), CMIP5 models (RCPs), and CMIP6 models (SSPs), and developed a novel method for hybrid downscaling of low-resolution GCMs combining both dynamical and statistical downscaling methods. I have also utilized climate projections to detect areas with higher wave climate stability, considering short-term fluctuations and future changes. In addition, I have contributed to global projects targeting future wave climate prediction. My works have contributed to generating a reliable long-term high-resolution database for wave energy potential in various areas, such as the Indian Ocean, Northeast Asia, South China Sea, Persian Gulf, Gulf of Oman, and the Caspian Sea. Furthermore, with expanding the modeling period, I have introduced new criteria for detecting suitable locations for wave energy extraction considering the changing climate and both inter- and intra-annual variations and long-term (e.g., decadal) changes. Recently, my colleagues and I have developed a combined methodology for selecting the suitable location and technology together, considering the stability of resources in the short and long-term. For more details, please see the Publications and Projects.