Dr. Kumah specializes in remote sensing-based precipitation retrieval, focusing on algorithm development, diagnostic evaluation, and uncertainty analysis. His research centers on enhancing precipitation measurement accuracy by exploring relationships between satellite-derived spectral characteristics, cloud microphysical properties and precipitation. Integrating data from multiple sources, including infrared (IR), microwave remote sensing, in situ observations, reanalysis data, and models employing physical models and machine learning techniques to advance retrieval methods. Currently, he focuses these skills on developing an Advanced Very High-Resolution Radiometer (AVHRR)-based precipitation product targeting global high-latitude regions, complementing and supporting state-of-the-art efforts such as the Global Precipitation Climatology Project (GPCP) and Integrated Multi-satellite Retrievals for GPM (IMERG). He has also contributed to the EUMETSAT program by evaluating precipitation products over Africa.