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Environmental Data Science
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Environmental Data Science
Article . 2025
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Cloudy with a chance of uncertainty: autoconversion rates forecasting via evidential regression from satellite data – CORRIGENDUM

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2025 English Publisher:Cambridge University Press (CUP)Journal:Environmental Data Science, volume 4 (eissn: 2634-4602, Copyright policy )
Authors: Maria Carolina Novitasari; Johannes Quaas; Miguel R. D. Rodrigues;

doi: 10.1017/eds.2025.7

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

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Keywords

Environmental sciences, evidential regression, uncertainty quantification, Electronic computers. Computer science, autoconversion rates, precipitation formation, GE1-350, QA75.5-76.95, aerosol-cloud interaction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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