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A review on machine learning models for drought monitoring and forecasting

Drought, driven by shifting climate patterns, increasingly threatens hydropower, agriculture, and water supply systems, necessitating robust early detection and forecasting frameworks. This review critically examines recent machine learning (ML) approaches to drought prediction, focusing on meteorol...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Ahmedbahaaaldin Ibrahem Ahmed Osman, Nouar AlDahoul, Kai Lun Chong, Yuk Feng Huang, Jing Lin Ng, Ahmed Elshafie, Mohsen Sherif, Ali Najah Ahmed
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Elsevier 2025-01-01
Rangatū:Climate Risk Management
Ngā marau:
Urunga tuihono:http://www.sciencedirect.com/science/article/pii/S2212096325000725
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