A novel machine learning models for meteorological drought forecasting in the semi-arid climate  region

A novel machine learning models for meteorological drought forecasting in the semi-arid climate  region

Abstract The central region of Maharashtra, India, is susceptible to agriculture, meteorological, and hydrological droughts, impacting local ecosystems. The scarcity of historical data  impedes monitoring and forecasting regional droughts. Given the limited studies on ensemble and Machine Learning (...

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Main Authors: Chaitanya Baliram Pande, Dinesh Kumar Vishwakarma, Aman Srivastava, Kanak N. Moharir, Fahad Alshehri, Norashidah Md Din, Lariyah Mohd Sidek, Bojan Đurin, Abebe Debele Tolche
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:Applied Water Science
Subjects:
ML models
Standardized precipitation index (SPI)
Ensemble models
Drought
Energy
SDG
Online Access:https://doi.org/10.1007/s13201-025-02445-x
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https://doi.org/10.1007/s13201-025-02445-x

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