Senior Researcher at Ca’ Foscari University of Venice, Italy.
Dr. Nkongho Ayuketang Arreyndip is a Cameroonian environmental data scientist and climate economist specializing in climate modeling, renewable energy, and atmospheric physics. He is a Marie Curie Research Fellow at the Euro-Mediterranean Center on Climate Change and Ca’ Foscari University of Venice, leading research on the economic impacts of climate and geopolitical extremes. He has held prestigious fellowships, including the Alexander von Humboldt Postdoctoral Fellowship, and has taught at institutions like TU Darmstadt and Saint Jerome Catholic University of Douala. His research spans climate risk modeling, ENSO impacts, and AI-driven weather predictions.
Publication Profile
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Work Experience
Dr. Nkongho Ayuketang Arreyndip is a Marie Curie Research Fellow at the Euro-Mediterranean Center on Climate Change, Italy, leading research on the economic impacts of weather-geopolitical extreme events. He is also a Climate Research Consultant at ClimateMatch Academy, USA, supervising projects on ENSOs and the Indian Ocean Dipole. Previously, he was an Alexander von Humboldt Fellow in Germany, working on atmospheric aerosols and extreme weather impacts. He has supervised distinguished Master’s theses at AIMS South Africa and Cameroon. With experience as a lecturer and researcher in Cameroon, Dr. Arreyndip continues to shape climate science and policy. 🌿📊
Academic Journey
Dr. Nkongho Ayuketang Arreyndip earned his Ph.D. in Physics, Renewable Energy, and Climate from the University of Buea, Cameroon (2014–2019), focusing on onshore wind farm modeling. He holds two Master’s degrees: one in Physics and Climate Modeling (2012–2014) and another in Mathematical Sciences from AIMS Cameroon (2013–2014). His research explored extreme temperature modeling and cold atom ratchet effects. He completed his Bachelor’s in Physics (2008–2011) at the University of Buea and his A-Levels in Physics, Chemistry, Biology, and Mathematics at CCAS Kumba. His strong academic foundation supports his impactful work in climate science. 🌍🔬
Research Focus
Dr. Nkongho Ayuketang Arreyndip’s research spans renewable energy, climate modeling, and environmental physics. His work includes wind energy potential assessment 🌬️, solar radiation modeling ☀️, and extreme temperature forecasting 🌡️. He explores the techno-economic feasibility of wind farms ⚡, aerosol scattering effects 🌫️, and climate change impacts on agriculture 🌾. His studies extend to El Niño-induced droughts 🚱, public health crises 🏥, and global trade disruptions 📉. With expertise in mathematical modeling 🧮 and artificial intelligence applications in energy 🤖, he contributes significantly to sustainable energy solutions and climate resilience.
Publication Top Notes
- 🌬️ Wind energy potential assessment of Cameroon’s coastal regions for the installation of an onshore wind farm – 40 citations, 2016
- 📊 Generalized extreme value distribution models for the assessment of seasonal wind energy potential of Debuncha, Cameroon – 36 citations, 2016
- ⚡ Small 500 kW onshore wind farm project in Kribi, Cameroon: Sizing and checkers layout optimization model – 35 citations, 2018
- ☀️ Global solar radiation of some regions of Cameroon using the linear Angstrom model and non-linear polynomial relations – 11 citations, 2018
- 🌍 African continental free trade area (AfCFTA): Projected economic impact assessment under future warming in CMIP6 – 10 citations, 2021
- 🌡️ Extreme temperature forecast in Mbonge, Cameroon, through return level analysis of the generalized extreme value (GEV) distribution – 8 citations, 2015
- 🚜 Identifying agricultural disaster risk zones for future climate actions – 7 citations, 2021
- 🏜️ Techno-economic feasibility of two onshore wind farms located in the desert area: A case study – 5 citations, 2023
- ☁️ Near-field single-scattering calculations of aerosols: Sensitivity studies – 2 citations, 2023
- ⚙️ Nonlinear multi-frequency dynamics of wind turbine components with a single-mesh helical gear train – 2 citations, 2018
- 🔋 Assessing the performance of a monocrystalline solar panel under different tropical climatic conditions in Cameroon using artificial neural network – 1 citation, 2024
- 🌡️ El Niño 2023 and future climate change exacerbates public health crises in Kenya – 1 citation, 2024
- ☀️ Modelling of Solar Radiation for Photovoltaic Applications – 1 citation, 2022
- 🌾 Monitoring the evolution of drought conditions over Africa – 1 citation, 2021
- 🌍 The Russia-Ukraine Conflict: A Global Impact Assessment in the Corn and Wheat Sectors, 2025
- ⚡ Charge carrier mobility and the recombination processes within a bulk heterojunction organic solar cell exhibiting disordered hopping , 2024