Machine learning of cloud types in satellite observations and climate models

Kuma, Peter; Bender, Frida A.-M.; Schuddeboom, Alex; McDonald, Adrian J.; Seland, Øyvind

doi:10.5281/zenodo.6551525

Presentation

Machine learning of cloud types in satellite observations and climate models

Peter Kuma¹, Frida A.-M. Bender¹, Alex Schuddeboom², Adrian J. McDonald², Øyvind Seland³

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

Presentation PDF

Abstract

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

Conference:: The 13th Annual SeRC Meeting, Bro, Sweden, 12–13 May 2022
Archive:: Zenodo
DOI:: 10.5281/zenodo.6551525
Published:: 13 May 2022
License:: Open access / Creative Commons Attribution 4.0 International (CC BY 4.0)

BibTeX:


@misc{kuma2022,




  year={2022},


  note={The 13th Annual SeRC Meeting, Bro, Sweden, 12–13 May 2022},





  doi={10.5281/zenodo.6551525},

  url={https://doi.org/10.5281/zenodo.6551525},

  author={Kuma, Peter and Bender, Frida A.-M. and Schuddeboom, Alex and McDonald, Adrian J. and Seland, {\O}yvind},

  title={Machine learning of cloud types in satellite observations and climate models}

}

Peter Kuma
Science and Software

Machine learning of cloud types in satellite observations and climate models

Abstract

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