Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations (2023)
Attributed to:
Machine learning approaches to constrain and understand the role of clouds in climate change (ML4CLOUDS)
funded by
NERC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.5194/acp-23-10775-2023
Publication URI: http://dx.doi.org/10.5194/acp-23-10775-2023
Type: Journal Article/Review
Parent Publication: Atmospheric Chemistry and Physics
Issue: 18