所蔵: Forecasting of meteorological drought using ensemble and machine learning models

Forecasting of meteorological drought using ensemble and machine learning models

This study highlights drought forecasting for understanding the semi-arid area in India, where drought phenomena play vital role in the irrigation, drinking water supplies, and sustaining the ecological with economic balance for every nation. Therefore, drought forecasting is important for the futur...

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主要な著者:	Pande C.B., Sidek L.M., Varade A.M., Elkhrachy I., Radwan N., Tolche A.D., Elbeltagi A.
その他の著者:	57193547008
フォーマット:	論文
出版事項:	Springer 2025
主題:	India Drought Evapotranspiration Sensitivity analysis Climate Energy Gaussian process regression model Input variables Machine learning models Meteorological drought Modeling accuracy Semiarid area Standardized precipitation evapotranspiration Standardized precipitation index conservation planning drinking water drought evapotranspiration forecasting method precipitation intensity prediction regression analysis semiarid region Support vector regression
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Forecasting of meteorological drought using ensemble and machine learning models

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