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Archivio Istituzionale della Ricerca (AperTO) - Università di Torino
Conference object . 2015
Full-Text: https://iris.unito.it/bitstream/2318/1606823/1/2015%20TOMSK%20Nosyreva%20The%20processing%20features%20of%20meteorological%20series%20by%20classical%20methods%20and%20using%20the%20software%20RClimDex.pdf
Data sources: Archivio Istituzionale della Ricerca (AperTO) - Università di Torino
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THE PROCESSING FEATURES OF METEOROLOGICAL SERIES BY CLASSICAL METHODS AND USING THE SOFTWARE RCLIMDEX

descriptionPublicationkeyboard_double_arrow_right Conference object 01 Jan 2015 Italy English Publisher:V. Gorbatenko and V. Sevastianov
Authors: Nosyreva, O; GARZENA, DIEGO; Nechepurenko, O.;

handle: 2318/1606823

THE PROCESSING FEATURES OF METEOROLOGICAL SERIES BY CLASSICAL METHODS AND USING THE SOFTWARE RCLIMDEX

Abstract

This article provides information about the methods of processing of meteorological data. Theoretical methods of identifying and eliminating inhomogeneity of climatological series. Also shows the methods checking the data through sofware RClimDex.

Country
Italy
Related Organizations
Keywords

meteorological series, climatic processing, identify errors, temperatures and precipitation amounts

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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