Long-term wind resource assessment in Ethiopia: a hybrid machine learning framework and grid complementarity analysis

Assessing Task-Technology Fit of Deep Learning for Forest Fire Prediction in Tanzania

Cesilia Mambile, Mohamedi M. Mjahidi, Judith Leo, S. Kaijage

The Subseasonal Applications for Agriculture and Environment (SAGE) project within the World Weather Research Programme: Making subseasonal predictions more useful for sectoral applications

Marisol Osman, Víctor Marchezini, Steven J. Woolnough, Nico Caltabiano, Rachel Lowe, Emma Doyle, et al.

Subseasonal forecasts are routinely produced by different prediction centers around the globe, offering actionable lead time for decisions across climate-sensitive sectors. However, the uptake of these forecasts is still limited. We argue that this gap persists not because of a s…Read more