13 citations · 15 across the 5 of their papers we have counts for
5 papers
Improving Bias Correction Methods for Daily Rainfall Using a Markov Chain Approach
Danny Parsons, David Stern, Mouhamadou Bamba Sylla +5
Accurate, localised rainfall information is essential for agricultural planning, climate risk assessment, and water resources management. Gridded climate products provide rainfall…
Spatio-temporal evolution of surface temperature trends in Ghana (1983-2021): a multi-station approach
John Bagiliko, David Stern, Denis Ndanguza
Surface temperature is a fundamental Essential Climate Variable, serving as a primary indicator of climate change and exerting a profound influence on ecosystems, agriculture, and…
Bias correction of satellite and reanalysis products for daily rainfall occurrence and intensity
John Bagiliko, David Stern, Francis Feehi Torgbor +3
In data-sparse regions, satellite and reanalysis rainfall estimates (SREs) are vital but limited by inherent biases. This study evaluates bias correction (BC) methods, including tr…
Evaluating satellite and reanalysis rainfall estimates for climate services in agriculture: a comprehensive methodology
Danny Parsons, David Stern, Denis Ndanguza +5
High-resolution rainfall estimates from satellite and reanalysis sources (SRE) could play a major role in improving climate services for agriculture. This is particularly relevant…
Validation of satellite and reanalysis rainfall products against rain gauge observations in Ghana and Zambia
John Bagiliko, David Stern, Denis Ndanguza +1
Accurate rainfall data are crucial for effective climate services, especially in Sub-Saharan Africa, where agriculture depends heavily on rain-fed systems. The sparse distribution…