Published May 13, 2022 | Version v1
Presentation Open

Machine learning of cloud types in satellite observations and climate models

  • 1. Department of Meteorology (MISU), Stockholm University, Stockholm, Sweden
  • 2. School of Physical and Chemical Sciences, University of Canterbury, Christchurch, Aotearoa New Zealand
  • 3. Norwegian Meteorological Institute, Oslo, Norway

Description

Presentation given at the 13th Annual SeRC Meeting, Bro, Sweden on 13 May 2022.

Files

Kuma et al. (2022), Machine learning of cloud types in satellite observations and climate models.pdf

Additional details

Funding

FORCeS – Constrained aerosol forcing for improved climate projections 821205
European Commission