Detecting Multilayer Clouds From the Geostationary Advanced Himawari Imager Using Machine Learning Techniques
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3087714
Abstract: This study develops a machine learning (ML)-based multilayer cloud detection algorithm for the passive Advanced Himawari Imager (AHI) aboard the geostationary Himawari-8 satellite. AHI measurements in the 0.64-, 1.6-, 2.3-, 3.9-, 7.3-, 8.6-, 11.2-, and… read more here.
Keywords: multilayer; machine learning; multilayer clouds; himawari imager ... See more keywords
Multilayer cloud conditions in trade wind shallow cumulus – confronting two ICON model derivatives with airborne observations
Sign Up to like & getrecommendations! Published in 2020 at "Geoscientific Model Development"
DOI: 10.5194/gmd-13-5757-2020
Abstract: Abstract. Airborne remote sensing observations over the tropical Atlantic Ocean upstream of Barbados are used to characterize trade wind shallow cumulus clouds and to benchmark two cloud-resolving ICON (ICOsahedral Nonhydrostatic) model simulations at kilometer and… read more here.
Keywords: shallow cumulus; multilayer cloud; model; wind shallow ... See more keywords