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Quarterly Journal of the Royal Meteorological Society
Article . 2022 . Peer-reviewed
License: CC BY
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Article . 2022
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https://dx.doi.org/10.5445/ir/...
Article . 2022
License: CC BY
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A satellite‐based climatology of fog and low stratus formation and dissipation times in central Europe

Authors: Eva Pauli; Jan Cermak; Hendrik Andersen;

A satellite‐based climatology of fog and low stratus formation and dissipation times in central Europe

Abstract

AbstractKnowledge of fog and low stratus (FLS) cloud patterns and life cycles is important for traffic safety, for the production of solar energy and for the analysis of cloud processes in the climate system. While meteorological stations provide information on FLS, a data set describing FLS formation and dissipation times on large spatial and temporal scales does not yet exist. In this study, we use logistic regression to extract FLS formation and dissipation times from a satellite‐based 10‐year FLS data set covering central Europe. The resulting data set is the first to provide a geographic perspective on FLS formation and dissipation at a continental scale. The patterns found show a clear dependency of FLS formation and dissipation times on topography. In mountainous areas, FLS forms in the night and dissipates in the morning. In river valleys, the typical FLS life cycle shifts to formation after sunrise and dissipation in the afternoon. Seasonal patterns of FLS formation and dissipation show similar FLS formation and dissipation times in winter and autumn, and in spring and summer, with longer events in the former two seasons.

Countries
Germany, Germany
Keywords

fog formation, info:eu-repo/classification/ddc/550, 550, ddc:550, logistic regression, fog, Europe, Earth sciences, fog dissipation, low stratus

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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!
14
Top 10%
Average
Top 10%
Green
hybrid