Dataset for Improving atmospheric profile retrievals from geostationary satellite using machine learning and reanalysis data

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Authors: Daehyeon Han
Cited by: 0

Abstract

A subset of the samples used for training the LGBM post-processing models is provided. Due to the large data volume, please contact us if you require the full dataset (day 1 to day 20).

Fields of Study & Subjects

Meteorological Phenomena and Simulations Aerospace and Aviation Technology Atmospheric aerosols and clouds

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 January 2026
Document type
Dataset