Using Artificial Intelligence to Improve Weather Predictions in Africa.
We are a team of researchers from different disciplines dedicated to advancing the understanding and prediction of atmospheric phenomena, weather patterns, and hydrological systems using cutting-edge Artificial Intelligence and Machine Learning techniques. Explore our site to learn more about our work, recent findings, and publications.
Step into our data laboratory! These living visualizations capture our models as they learn, adapt, and real-time predict with the latest findings from our collaborative research hub.
Our research focuses on leveraging machine learning techniques to improve temperature forecasting using ERA5 reanalysis data as input. By using historical temperature input, we have developed a spatio-temporal model over Southwestern Nigeria that provides 48 hour forecasts over southwest Nigeria. This will be useful for detecting and mitigating the impact of heatwaves in the region. The results can be viewed in the videos below: on the left is our model while the prediction from CAMS over West Africa can be seen on the right.
Our Model Gives 48 hours lead-time prediction for disaster planning
Our prediction covers the Southwestern Region of Nigeria
99.26% Temperature Prediction Accuracy
Our research focuses on leveraging machine learning techniques to improve temperature forecasting using CM1P6 data as input. The results can be viewed in the videos below:
We are currently developing advanced precipitation forecasting models using similar machine learning approaches. Expected completion and results coming soon.
We are currently working on this project. Expect comprehensive drought prediction and monitoring results soon, building on our successful temperature forecasting methodology.
Lead Researcher & Senior Lecturer
Federal University of Technology Akure
Ph.D. in Condensed Matter Physics (2019)
Dr. Ogunjo had his first degree in Physics (Electronics option) at Olabisi Onabanjo University, Ogun State. He proceeded to the Federal University of Technology Akure where he obtained a Master's and PhD degree in Condensed Matter Physics in 2012 and 2019 respectively. Ogunjo specializes in theoretical physics with application to finance, agriculture, climate change, secure communication, space physics, and biophysical/neurological signals. Ogunjo is currently an academic staff at the Federal University of Technology Akure where he teaches and conducts research. Ogunjo has over 80 published articles, conference proceedings and book chapters indexed in Scopus.
Atmospheric Physics Researcher
Research Institute
Ph.D. in Atmospheric Physics
Dr. Ojo Olusola Samuel is a Nigerian atmospheric scientist. He specializes in atmospheric physics and meteorology. His research focuses on climate dynamics, climate modelling, atmospheric radiation, atmospheric pollution, radio meteorology, climate change adaptation and mitigation. He is currently lectures at the Federal University of Technology, Akure, Nigeria. He had published and reviewed many articles in his area of specialization in both local and international reputable journals. He is a member of the Nigeria Institute of Physics (NIP), the International Union of Radio Science – Nigeria (URSI-NG), the Nigerian Institute of Management (NIM), and the Institute for Operations Research and the Management Sciences (INFORMS), Bahrain. He is also Secretary of the Atmospheric Research Group and Associate Editor of the Nigeria Journal of Physics at the Federal University of Technology, Akure.
Data Scientist & Research Analyst
University of Hull
M.Sc. Artificial Intelligence & Data Science
Mrs. Ijila Itunu obtained her M.Sc. in Data Science and Analytics from University of Hull, with specialized training in statistical modeling and machine learning applications. She specializes in climate data analysis, statistical modeling, machine learning applications in environmental sciences, and big data processing for atmospheric research. Her technical expertise includes proficiency in Python, R, SQL, advanced statistical analysis, data visualization, and predictive modeling for climate and environmental datasets.
Our peer-reviewed articles, conference proceedings, and pre-prints.
Ogunjo S., Olusola A., Olusegun C. (2024)
Applied Sciences (Switzerland), Vol. 14, Issue 1, art. no. 12
View ArticleOjo O.S., Oladele S.O. (2022)
Journal of Applied Remote Sensing, Vol. 16, Issue 1, art. no. 014510
View ArticleOjo O.S., Ogunjo S.T. (2022)
Scientific African, Vol. 16, art. no. e01246
View ArticleOjo O.S., Adeyemi B., Oluleye D.O. (2021)
Neural Computing and Applications, Vol. 33, Issue 12, pp. 6865 - 6877
View ArticleOgunjo S.T., Dada J.B., Ajayi O.J. (2022)
IOP Conference Series: Earth and Environmental Science, 993 (1), art. no. 012024
View PaperOgunjo S., Aderonke O., Rabiu B. (2022)
AIP Conference Proceedings, 2570, art. no. 030002
View PaperOlusola A., Ogunjo S., Olusegun C. (2024)
Advances in Science, Technology and Innovation, pp. 263 - 265
View PaperOjo O.S., Adeyemi B. (2020)
2020 International Conference on Decision Aid Sciences and Application, DASA 2020, art. no. 9317199, pp. 726 - 731
View PaperFor the most current list of publications and pre-prints, please visit our individual researcher profiles or check our team section for direct links.
We'd love to hear from you! Whether you have questions about our research, potential collaborations, or media inquiries, please feel free to reach out.
Email:
research@example.comLocation:
Department of Physics
Federal University of Technology Akure
Akure, Ondo State, Nigeria
Or contact individual researchers via the details on our Team section.
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We are always interested in collaborating with researchers, institutions, and organizations working in atmospheric physics, climate science, and related fields. Feel free to reach out to discuss potential partnerships and joint research opportunities.