A Comparison of the Statistical Downscaling and Long-Short-Term-Memory Artificial Neural Network Models for Long-Term Temperature and Precipitations Forecasting

A Comparison of the Statistical Downscaling and Long-Short-Term-Memory Artificial Neural Network Models for Long-Term Temperature and Precipitations Forecasting

General circulation models (GCMs) run at regional resolution or at a continental scale. Therefore, these results cannot be used directly for local temperatures and precipitation prediction. Downscaling techniques are required to calibrate GCMs. Statistical downscaling models (SDSM) are the most wide...

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Bibliographic Details
Main Authors: Noé Carème Fouotsa Manfouo, Linke Potgieter, Andrew Watson, Johanna H. Nel
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Atmosphere
Subjects:
comparison
forecasting
gridded data
Lake Chad Basin
LSTM
precipitation
Online Access:https://www.mdpi.com/2073-4433/14/4/708

Internet

https://www.mdpi.com/2073-4433/14/4/708

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