Climate ML Research Group

Our Research

We are a multidisciplinary team advancing atmospheric science through AI and machine learning, developing innovative solutions for weather prediction, climate modeling, and environmental monitoring.

Temperature Forecasting

Leveraging machine learning techniques with ERA5 reanalysis data to improve temperature predictions. Our spatio-temporal models provide 48-hour forecasts over Southwestern Nigeria with 99.26% accuracy, essential for heatwave detection and mitigation.

Precipitation Modeling

Developing advanced precipitation forecasting models using machine learning. Our research focuses on extreme rainfall event prediction with enhanced accuracy for flood management and agricultural planning.

Drought Prediction

Building comprehensive drought monitoring systems using temperature and vegetation indices. This research provides crucial early warning systems for water resource management.

Our Team

Dr. S. T. Ogunjo

Lead Researcher & Senior Lecturer

Federal University of Technology Akure

Ph.D. in Condensed Matter Physics. Over 80 published articles indexed in Scopus with expertise in machine learning applications to atmospheric sciences.

Google Scholar

Dr. Ojo Samuel

Atmospheric Physics Researcher

Federal University of Technology Akure

Specializes in climate dynamics, atmospheric radiation, and machine learning models for tropical rainfall and radiation prediction.

Research Profile

Mrs. Ijila Itunu

Data Scientist & Research Analyst

University of Hull

M.Sc. in Data Science. Expert in Python-based climate data analysis and regional climate model (CORDEX-CORE) evaluation.

GitHub Profile

Publications

Our peer-reviewed articles, conference proceedings, and contributions to the scientific community.

Journal Articles

Modeling heatwave trends from land cover dynamics using satellite observations and machine learning in Ibadan, Nigeria

Ikuemonisan, F. E., Kayode, Y. O., Ogunjo, S. T., Odubote, O. B., & Okedeyi, S. A. (2025)

Discover Geoscience, 3(1), 254

View Article →

Predicting river discharge in the Niger river basin: A deep learning approach

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

Applied Sciences, 14(1), 12

View Article →

Predicting COVID‐19 cases from atmospheric parameters using machine learning approach

Ogunjo, S. T., Fuwape, I. A., & Rabiu, A. B. (2022)

GeoHealth, 6(4), e2021GH000509

View Article →

Evaluation of dry and wet spell events over West Africa using CORDEX-CORE regional climate models

Olusegun, C. F., Awe, O., Ijila, I., Ajanaku, O., & Ogunjo, S. (2022)

Modeling Earth Systems and Environment, 8(4), 4923-4937

View Article →

Machine learning models for prediction of rainfall over Nigeria

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

Scientific African, 16, e01246

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, 16(1), 014510

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, 33(12), 6865-6877

View Article →

Deep Learning Prediction of Inter-storm Parameters Using Transformer Convolution Network

Ogunjo, S., Rabiu, B., Fuwape, I., & Atikekeresola, O. (2024)

United Nations Germany Workshop on the ISWI, Springer Nature, pp. 222-226

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 →

Machine learning prediction of solar energy potential in Nigeria

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

AIP Conference Proceedings, 2570(1), 030002

View Paper →

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), 012024

View Paper →

Advanced Weather Forecasting

Our Research

Temperature Forecasting

Precipitation Modeling

Drought Prediction

Our Results

Air Temperature Forecast over SW Nigeria

Our ML Model Forecast

CAMS Forecast

Our Team

Dr. S. T. Ogunjo

Dr. Ojo Samuel

Mrs. Ijila Itunu

Publications

Journal Articles

Modeling heatwave trends from land cover dynamics using satellite observations and machine learning in Ibadan, Nigeria

Predicting river discharge in the Niger river basin: A deep learning approach

Predicting COVID‐19 cases from atmospheric parameters using machine learning approach

Evaluation of dry and wet spell events over West Africa using CORDEX-CORE regional climate models

Machine learning models for prediction of rainfall over Nigeria

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

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

Deep Learning Prediction of Inter-storm Parameters Using Transformer Convolution Network

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

Machine learning prediction of solar energy potential in Nigeria

Forecasting tropospheric wet delay using LSTM neural network

Contact Us

Location