Spatial Downscaling of Daily Temperature Minima Using Machine Learning Methods and Application to Frost Forecasting in Two Alpine Valleys

Spatial Downscaling of Daily Temperature Minima Using Machine Learning Methods and Application to Frost Forecasting in Two Alpine Valleys

This study examines the performance of three machine learning models—namely, Artificial Neural Network (ANN), Random Forest (RF), and Convolutional Neural Network (CNN)—for spatial downscaling of seasonal forecasts of daily minimum temperature from 12 km to 250 m horizontal resolution. Downscaling i...

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Bibliographic Details
Main Authors: Sudheer Bhakare, Michael Matiu, Alice Crespi, Dino Zardi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Atmosphere
Subjects:
minimum temperature
downscaling
neural network
random forest
frost
Alps
Online Access:https://www.mdpi.com/2073-4433/16/1/38
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