Unlocking potential: A case study on reducing shortwave radiation bias in the Southern Ocean through improved cloud phase retrievals based on machine learning
Willi Schimmel,
Carola Barrientos Velasco,
Jonas Witthuhn
et al.
Abstract:There are significant gaps in both experimental and theoretical
understanding of mixed-phase clouds, their impacts on the hydrological
cycle as well as their effects on atmospheric radiation. Accurately
identifying liquid water layers in mixed-phase clouds is crucial for
estimating cloud radiative effects. A proof-of-concept study utilizing a
machine-learning-based liquid-layer detection method called VOODOO is
presented. This method was applied alongside a single-column radiative
transfer model to compare dow… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.