The Maturation of AI in Drought Science: A Review of Trends, Pitfalls, and Priorities

Abstract Machine learning (ML) has emerged as a key tool in drought research, with applications growing rapidly over the past 20 years. While several reviews have described specific ML methods and their use in forecasting and monitoring, a comprehensive assessment of trends, gaps, and emerging chall...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Guido Ascenso, Matteo Giuliani, Jorge Pérez‐Aracil, Sancho Salcedo‐Sanz, Claudia Bertini, Paolo Bonetti, Gustau Camps‐Valls, Miguel Ángel Fernández Torres, Andrea Ficchì, Nora Linscheid, Martina Merlo, Giulio Palcic, Markus Reichstein, Marcello Restelli, Andrea Toreti, Eliot Walt, Andrea Castelletti
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Wiley 2026-04-01
سلاسل:	Water Resources Research
الموضوعات:	machine learning drought explainable AI reproducibility trends
الوصول للمادة أونلاين:	https://doi.org/10.1029/2025WR041828
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!