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Cloudy with a chance of uncertainty: autoconversion rates forecasting via evidential regression from satellite data – CORRIGENDUM

Published online by Cambridge University Press:  07 February 2025

Maria Carolina Novitasari Open the ORCID record for Maria Carolina Novitasari [Opens in a new window] ,
Johannes Quaas Open the ORCID record for Johannes Quaas [Opens in a new window]  and
Miguel R. D. Rodrigues

Abstract

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Keywords

aerosol-cloud interactionautoconversion ratesevidential regressionprecipitation formationuncertainty quantification
Type
Corrigendum
Information
Environmental Data Science , Volume 4 , 2025 , e9
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press

The authors regret the inclusion of an error in the above article. The citation “Novitasari et al., Reference Novitasari, Quaas and Rodrigues2024, attached” should have read “Novitasari et al., Reference Novitasari, Quaas and Rodrigues2024.”

References

Novitasari, M.C., Quaas, J. and Rodrigues, M.R.D. (2024) ‘Cloudy with a chance of uncertainty: autoconversion rates forecasting via evidential regression from satellite data’, Environmental Data Science, 3, p. e45. doi:10.1017/eds.2024.37.CrossRefGoogle Scholar