Journal cover Journal topic
Earth System Dynamics An interactive open-access journal of the European Geosciences Union

Journal metrics

  • IF value: 3.635 IF 3.635
  • IF 5-year<br/> value: 3.869 IF 5-year
    3.869
  • CiteScore<br/> value: 4.15 CiteScore
    4.15
  • SNIP value: 0.995 SNIP 0.995
  • SJR value: 2.742 SJR 2.742
  • IPP value: 3.679 IPP 3.679
  • h5-index value: 21 h5-index 21
https://doi.org/10.5194/esd-2017-79
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
13 Sep 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Dynamics (ESD).
Quantifying interdecadal changes in large-scale patterns of surface air temperature variability
Dario A. Zappalà1, Marcelo Barreiro2, and Cristina Masoller1 1Departament de Física, Universitat Politècnica de Catalunya, Terrassa, Barcelona, Spain
2Departamento de Ciencias de la Atmosfera, Universidad de la Republica, Montevideo, Uruguay
Abstract. We study daily surface air temperature (SAT) reanalysis in a grid over the Earth surface and identify and quantify changes in SAT variability patterns during the period 1979–2016. By analyzing Hilbert amplitude and frequency we identify the regions where relative variations are most pronounced (larger than ±50 % for the amplitude and ±100 % for the frequency). Amplitude variations are interpreted as due to changes in precipitation or ice melting; frequency variations, to a northward shift of the inter-tropical convergence zone (ITCZ) and a widening of the rainfall band in the western Pacific Ocean. The ITCZ is the ascending branch of the Hadley cell and thus, by affecting the tropical atmospheric circulation, ITCZ migration has far reaching climatic consequences. As the methodology proposed here can be applied to many other geophysical time series, our work will stimulate new research that will advance the understanding of climate change impacts.

Citation: Zappalà, D. A., Barreiro, M., and Masoller, C.: Quantifying interdecadal changes in large-scale patterns of surface air temperature variability, Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2017-79, in review, 2017.
Dario A. Zappalà et al.
Dario A. Zappalà et al.
Dario A. Zappalà et al.

Viewed

Total article views: 134 (including HTML, PDF, and XML)

HTML PDF XML Total Supplement BibTeX EndNote
97 32 5 134 9 0 1

Views and downloads (calculated since 13 Sep 2017)

Cumulative views and downloads (calculated since 13 Sep 2017)

Viewed (geographical distribution)

Total article views: 134 (including HTML, PDF, and XML)

Thereof 134 with geography defined and 0 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 22 Sep 2017
Publications Copernicus
Download
Short summary
The dynamics of our climate involves multiple time-scales, and, while a lot of work has been devoted to quantify variations of time-averaged variables, or variations of their seasonal cycles, variations in daily variability that occur over several decades (such as those shown in Fig. 1) still remain poorly understood. Here we analyze daily surface air temperature and demonstrate that interdecadal changes can be precisely identified and quantified with the Hilbert analysis tool.
The dynamics of our climate involves multiple time-scales, and, while a lot of work has been...
Share