A machine learning model for drought tracking and forecasting using remote precipitation data and a standardized precipitation index from arid regions

Author:

Bouaziz MoncefORCID,Medhioub Emna,Csaplovisc Elmar

Funder

Alexander von Humboldt-Stiftung

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Ecology,Ecology, Evolution, Behavior and Systematics

Reference44 articles.

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2. Input selection and optimization for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks;Abbot;Atmos. Res.,2014

3. Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme learning machine;Acharya;Clim. Dynam.,2013

4. Adaptive neuro-fuzzy InferenceSystem for drought forecasting;Bacanli;Stoch. Environ. Res. Risk Assess.,2009

5. Objective quantification of drought severity and duration;Byun;J. Clim.,1999

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