Ice water path retrievals from Meteosat-9 using quantile regression neural networks
<p>The relationship between geostationary radiances and ice water path (IWP) is complex, and traditional retrieval approaches are not optimal. This work applies machine learning to improve the IWP retrieval from Meteosat-9 observations, with a focus on low latitudes, training the models agains...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2022-10-01
|
Series: | Atmospheric Measurement Techniques |
Online Access: | https://amt.copernicus.org/articles/15/5701/2022/amt-15-5701-2022.pdf |