HIGHLIGHTS
- who: Firstname Lastname and colleagues from the Mashhad, Iran have published the paper: Improved Monthly and Seasonal Multi-Model Ensemble Precipitation Forecasts in Southwest Asia Using Machine Learning Algorithms, in the Journal: Water 2022, 14, 2632. of 26/08/2022
- what: The aim of this paper is to propose a learning approach based on artificial neural network (ANN) and random forest (RF) algorithms for post-processing the output of forecasting models to provide a multi-model ensemble forecasting of precipitation in southwest Asia. The raw forecast performance of the four models (before post-processing), along . . .
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