SPEI-based spatial and temporal evaluation of drought in Somalia

SK Musei, JM Nyaga, AZ Dubow - Journal of Arid Environments, 2021 - Elsevier
Somalia is one of the most drought prone countries both in Africa and globally. Drought
events usually develop gradually unnoticed, causing tremendous effects on both agriculture …

[PDF][PDF] Predicting SPI Drought Indicator Using Machine Learning Algorithms: Case study in Hiran Region, Somalia

A Diiso, MSAS Adam, UA Barkan - researchgate.net
Predicting SPI Drought Indicator Using Machine Learning Algorithms: Case study in Hiran
Region, Somalia Page 1 ISSN: 2096-3246 Volume 55, Issue 08, August, 2023 3987 Predicting …

[CITATION][C] Characterisation of Meteorological Drought in Northern Nigeria Using Comparative Rainfall-Based Drought Metrics

OD Jimoh, YM Otache, AR Adesiji, RS Olaleye… - 2023 - Journal of Water Resources and …

SPEI-based spatial and temporal evaluation of drought in Somalia

JM Nyaga, SK Musei, AZ Dubow - 2020 - 41.89.240.73
Somalia is one of the most drought prone countries both in Africa and globally. Drought
events usually develop gradually unnoticed, causing tremendous effects on both agriculture …