A wavelet-based analysis of surface air temperature variability
We study the Hölder regularity of surface air temperature signals using the wavelet leaders method (WLM). This method has been successfully applied in several domains such as DNA analysis, fully developped turbulence analysis, internet data traffic analysis,. to name just a few, and we now use it in...
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ftorbi:oai:orbi.ulg.ac.be:2268/171943 2024-04-21T08:07:48+00:00 A wavelet-based analysis of surface air temperature variability Une analyse de la température de l'air au sol basée sur les ondelettes Deliège, Adrien Nicolay, Samuel 2014-06-06 32 https://orbi.uliege.be/handle/2268/171943 en eng https://orbi.uliege.be/handle/2268/171943 info:hdl:2268/171943 restricted access http://purl.org/coar/access_right/c_16ec info:eu-repo/semantics/restrictedAccess MeteoClim 2014, Antwerp's Ecohuis, Belgium [BE], 6 juin 2014 Hölder exponent Wavelet leaders method Climate time series analysis Physical chemical mathematical & earth Sciences Mathematics Physique chimie mathématiques & sciences de la terre Mathématiques conference paper not in proceedings http://purl.org/coar/resource_type/c_18cp info:eu-repo/semantics/conferencePaper 2014 ftorbi 2024-03-27T14:46:07Z We study the Hölder regularity of surface air temperature signals using the wavelet leaders method (WLM). This method has been successfully applied in several domains such as DNA analysis, fully developped turbulence analysis, internet data traffic analysis,. to name just a few, and we now use it in climatology. We first define the notions of Hölder exponent, monofractal functions and spectrum of singularities before explaining the WLM. Then we use it to study surface air temperature signals from weather stations spread across Western and Eastern Europe and show that they are monofractal, i.e. their irregularity (in the sense of variability) is regular. After, we show that the stations can be classified according to their Hölder exponent and that this classification matches with the worldwide used Köppen-Geiger climate classification. A blind test is performed in order to confirm the results, which can be partly explained by the influence of the North Atlantic Oscillation. Our results can be helpful to test the accuracy of current climatic models. Conference Object North Atlantic North Atlantic oscillation University of Liège: ORBi (Open Repository and Bibliography) |
institution |
Open Polar |
collection |
University of Liège: ORBi (Open Repository and Bibliography) |
op_collection_id |
ftorbi |
language |
English |
topic |
Hölder exponent Wavelet leaders method Climate time series analysis Physical chemical mathematical & earth Sciences Mathematics Physique chimie mathématiques & sciences de la terre Mathématiques |
spellingShingle |
Hölder exponent Wavelet leaders method Climate time series analysis Physical chemical mathematical & earth Sciences Mathematics Physique chimie mathématiques & sciences de la terre Mathématiques Deliège, Adrien Nicolay, Samuel A wavelet-based analysis of surface air temperature variability |
topic_facet |
Hölder exponent Wavelet leaders method Climate time series analysis Physical chemical mathematical & earth Sciences Mathematics Physique chimie mathématiques & sciences de la terre Mathématiques |
description |
We study the Hölder regularity of surface air temperature signals using the wavelet leaders method (WLM). This method has been successfully applied in several domains such as DNA analysis, fully developped turbulence analysis, internet data traffic analysis,. to name just a few, and we now use it in climatology. We first define the notions of Hölder exponent, monofractal functions and spectrum of singularities before explaining the WLM. Then we use it to study surface air temperature signals from weather stations spread across Western and Eastern Europe and show that they are monofractal, i.e. their irregularity (in the sense of variability) is regular. After, we show that the stations can be classified according to their Hölder exponent and that this classification matches with the worldwide used Köppen-Geiger climate classification. A blind test is performed in order to confirm the results, which can be partly explained by the influence of the North Atlantic Oscillation. Our results can be helpful to test the accuracy of current climatic models. |
format |
Conference Object |
author |
Deliège, Adrien Nicolay, Samuel |
author_facet |
Deliège, Adrien Nicolay, Samuel |
author_sort |
Deliège, Adrien |
title |
A wavelet-based analysis of surface air temperature variability |
title_short |
A wavelet-based analysis of surface air temperature variability |
title_full |
A wavelet-based analysis of surface air temperature variability |
title_fullStr |
A wavelet-based analysis of surface air temperature variability |
title_full_unstemmed |
A wavelet-based analysis of surface air temperature variability |
title_sort |
wavelet-based analysis of surface air temperature variability |
publishDate |
2014 |
url |
https://orbi.uliege.be/handle/2268/171943 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
MeteoClim 2014, Antwerp's Ecohuis, Belgium [BE], 6 juin 2014 |
op_relation |
https://orbi.uliege.be/handle/2268/171943 info:hdl:2268/171943 |
op_rights |
restricted access http://purl.org/coar/access_right/c_16ec info:eu-repo/semantics/restrictedAccess |
_version_ |
1796947881342533632 |