Kees Nederhoff earns PhD for research on new methods to compute tropical cyclone induced flooding
On 20 June, Kees Nederhoff from the Netherlands successfully defended his PhD thesis on new approaches to tropical cyclone risk analyses and their implications for coastal flooding predictions and has been awarded a doctoral degree. His promotor is Professor Dano Roelvink and his copromotors are Dr. Ap van Dongeren and Dr. José Antolínez.
Understanding flooding caused by tropical cyclones
My PhD research focuses on improving how we predict and understand flooding caused by tropical cyclones, which are intense storm systems known as hurricanes or typhoons. Each year, these storms affect millions people globally, posing significant risks to life and property. By developing new methods to analyze these storms, we can better forecast their impact, help to protect communities and ecosystems from devastating floods.
First simulation of a tropical cyclone impacting Hawaii
I will never forget the day I successfully ran my first simulation of a tropical cyclone impacting Hawaii. After countless hours or days of tweaking the model parameters, the moment when everything clicked was exhilarating!
Refining my approach
The most challenging part of my PhD studies was receiving the first peer-reviewed paper. The feedback was extensive and pointed out several critical flaws in my methodology and assumptions. It was a daunting task to address all the comments and revise the paper. This process forced me to delve deeper into my research, question every detail, and refine my approach. It taught the importance of resilience and meticulous attention to detail in scientific work. Through multiple iterations and consultations with my advisors, I learned to view constructive criticism as a valuable tool for growth rather than a setback. This experience ultimately strengthened my research and sharpened my skills as a scientist, preparing me for future challenges in academia and beyond.
Breakthroughs in storm prediction models
In an ideal world, my PhD research would lead to breakthroughs in storm prediction models, significantly reducing the risk and impact of flood damage. I envision communities worldwide benefiting from advanced warning systems and robust urban planning that incorporate my findings, thereby enhancing resilience against climate-related disasters.
In the next few years, I will continue working for Deltares USA in the San Francisco Bay Area where I live with my wife and cat. If I could give some advice to new PhD candidates: have a little patience - everything is going to work out!
Thesis title and summary
The title of Nederhoff’s thesis: NAVIGATING THE STORM - New Approaches to Tropical Cyclone Risk Analyses and Their Implications for Coastal Flooding Predictions
This dissertation delves into the dynamics of tropical cyclones (also known as hurricanes or typhoons) focusing on their role in coastal flooding, a phenomenon worsened by climate change and increased human activity. It aims to enhance flood risk analysis and forecasting accuracy by improving the descriptions of cyclones' wind geometry and pathways. The study distinguishes between operational risk analysis, which deals with short-term forecasting surrounding a cyclone event, and strategic risk analysis, which considers long-term climate variability and its impacts over decades.
Thesis title and summary
The title of Nederhoff’s thesis: NAVIGATING THE STORM - New Approaches to Tropical Cyclone Risk Analyses and Their Implications for Coastal Flooding Predictions
This dissertation delves into the dynamics of tropical cyclones (also known as hurricanes or typhoons) focusing on their role in coastal flooding, a phenomenon worsened by climate change and increased human activity. It aims to enhance flood risk analysis and forecasting accuracy by improving the descriptions of cyclones' wind geometry and pathways. The study distinguishes between operational risk analysis, which deals with short-term forecasting surrounding a cyclone event, and strategic risk analysis, which considers long-term climate variability and its impacts over decades.
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