Journal Article PreJuSER-22335

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Assessing large-scale weekly cycles in meteorological variables: a review

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2012
EGU Katlenburg-Lindau

Atmospheric chemistry and physics 12, 5755 - 5771 () [10.5194/acp-12-5755-2012]

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Abstract: Several studies have claimed to have found significant weekly cycles of meteorological variables appearing over large domains, which can hardly be related to urban effects exclusively. Nevertheless, there is still an ongoing scientific debate whether these large-scale weekly cycles exist or not, and some other studies fail to reproduce them with statistical significance. In addition to the lack of the positive proof for the existence of these cycles, their possible physical explanations have been controversially discussed during the last years. In this work we review the main results about this topic published during the recent two decades, including a summary of the existence or non-existence of significant weekly weather cycles across different regions of the world, mainly over the US, Europe and Asia. In addition, some shortcomings of common statistical methods for analyzing weekly cycles are listed. Finally, a brief summary of supposed causes of the weekly cycles, focusing on the aerosol-cloud-radiation interactions and their impact on meteorological variables as a result of the weekly cycles of anthropogenic activities, and possible directions for future research, is presented.

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Note: This work was partially supported by the Spanish Ministry of Science and Innovation project NUCLIERSOL (CGL2010-18546). Arturo Sanchez-Lorenzo was granted by a postdoctoral position funded by the government of Catalonia (2009 BP-A 00035). Finally, we would like to thank an anonymous reviewer, and in particular the very thorough and constructive review of Thomas L. Bell.

Contributing Institute(s):
  1. Agrosphäre (IBG-3)
Research Program(s):
  1. Terrestrische Umwelt (P24)

Appears in the scientific report 2012
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Medline ; Creative Commons Attribution CC BY 3.0 ; DOAJ ; OpenAccess ; Current Contents - Social and Behavioral Sciences ; JCR ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Datensatz erzeugt am 2012-11-13, letzte Änderung am 2020-07-02


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