Multiscale spatiotemporal meteorological drought prediction: A deep learning approach

Author:

Zhang Jia-Li,Huang Xiao-MengORCID,Sun Yu-ZeORCID

Funder

National Key Research and Development Program of China

Ministry of Science and Technology of the People's Republic of China

NSFC

Publisher

Elsevier BV

Reference27 articles.

1. Spatio-temporal distribution and prediction of agricultural and meteorological drought in a Mediterranean coastal watershed via GIS and machine learning;Acharki;Phys. Chem. Earth, Parts A/B/C 131,,2023

2. An investigation of the short-term meteorological drought variability over Asir Region of Saudi Arabia;Alsubih;Theor. Appl. Climatol.,2021

3. Application of artificial intelligence hybrid models for meteorological drought prediction;Azimi;Nat. Hazards,2023

4. A novel intelligent deep learning predictive model for meteorological drought forecasting;Danandeh Mehr;J. Ambient Intell. Hum. Comput.,2023

5. Artificial neural networks in drought prediction in the 21st century: a scientometric analysis;Dikshit;Appl. Soft Comput.,2022

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