Advanced Weather Forecasting

Using Artificial Intelligence to Improve Weather Predictions in Africa.

Our Research

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.

Our Results

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.

Air Temperature Forecast over SW Nigeria

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.

48HR Ahead Prediction

Our Model Gives 48 hours lead-time prediction for disaster planning

Spatial Prediction

Our prediction covers the Southwestern Region of Nigeria

Performance Metrics

99.26% Temperature Prediction Accuracy

Our ML Model Forecast

CAMS Forecast (West Africa)

CMIP6 Weather Prediction

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:

Cmip6 Preciptation

Cmip6 Preciptation

Cmip6 temperature

Cmip6 Temperature

Precipitation Modeling

Work in Progress

We are currently developing advanced precipitation forecasting models using similar machine learning approaches. Expected completion and results coming soon.

Drought Prediction & Monitoring

Coming Soon

We are currently working on this project. Expect comprehensive drought prediction and monitoring results soon, building on our successful temperature forecasting methodology.

Our Team

Dr. S. T. Ogunjo

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.

Dr. Ojo Samuel

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.

Mrs. Ijila Itunu

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.

Publications

Our peer-reviewed articles, conference proceedings, and pre-prints.

Journal Articles

Predicting River Discharge in the Niger River Basin: A Deep Learning Approach

Ogunjo S., Olusola A., Olusegun C. (2024)

Applied Sciences (Switzerland), Vol. 14, Issue 1, art. no. 12

View Article

Clustered adaptive neuro-fuzzy inference system models of net radiation flux using temperature series

Ojo O.S., Oladele S.O. (2022)

Journal of Applied Remote Sensing, Vol. 16, Issue 1, art. no. 014510

View Article

Machine learning models for prediction of rainfall over Nigeria

Ojo O.S., Ogunjo S.T. (2022)

Scientific African, Vol. 16, art. no. e01246

View Article

Artificial neural network models for prediction of net radiation over a tropical region

Ojo O.S., Adeyemi B., Oluleye D.O. (2021)

Neural Computing and Applications, Vol. 33, Issue 12, pp. 6865 - 6877

View Article

Conference Papers & Presentations

Forecasting tropospheric wet delay using LSTM neural network

Ogunjo S.T., Dada J.B., Ajayi O.J. (2022)

IOP Conference Series: Earth and Environmental Science, 993 (1), art. no. 012024

View Paper

Machine learning prediction of solar energy potential in Nigeria

Ogunjo S., Aderonke O., Rabiu B. (2022)

AIP Conference Proceedings, 2570, art. no. 030002

View Paper

Predicting Rainfall Onset and Cessation Within the West African Sahel Region Using Echo State Network

Olusola A., Ogunjo S., Olusegun C. (2024)

Advances in Science, Technology and Innovation, pp. 263 - 265

View Paper

Land Surface Temperature Modelling over Geoclimatic Regions of Nigeria using Soft-computing Intelligence Techniques

Ojo O.S., Adeyemi B. (2020)

2020 International Conference on Decision Aid Sciences and Application, DASA 2020, art. no. 9317199, pp. 726 - 731

View Paper

Stay Updated

For the most current list of publications and pre-prints, please visit our individual researcher profiles or check our team section for direct links.

Contact Us

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.

Direct Contact

Location:

Department of Physics
Federal University of Technology Akure
Akure, Ondo State, Nigeria

Or contact individual researchers via the details on our Team section.

Send Us a Message

You can use the form below to send us a message. We'll get back to you as soon as possible.

Research Collaborations Welcome

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.