Forecasting PM10 levels using machine learning models in the Arctic: a comparative study
In this study, we present a statistical forecasting framework and assess its efficacy using a range of established machine learning algorithms for predicting Particulate Matter (PM) concentrations in the Arctic, specifically in Pallas (FI), Reykjavik (IS), and Tromso (NO). Our framework leverages hi...
Published in: | Remote Sensing |
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Main Authors: | , , , , , , , |
Language: | English |
Published: |
MDPI
2023
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Subjects: | |
Online Access: | https://publications.jrc.ec.europa.eu/repository/handle/JRC134016 https://www.mdpi.com/2072-4292/15/13/3348 https://doi.org/10.3390/rs15133348 |