Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 10, issue 2
Articles | Volume 10, issue 2
https://doi.org/10.5194/ascmo-10-173-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-10-173-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 2
15 Nov 2024
 | 15 Nov 2024

Identifying time patterns of highland and lowland air temperature trends in Italy and the UK across monthly and annual scales

Chalachew Muluken Liyew, Elvira Di Nardo, Rosa Meo, and Stefano Ferraris

Viewed

Total article views: 39 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
33 5 1 39 0 0
  • HTML: 33
  • PDF: 5
  • XML: 1
  • Total: 39
  • BibTeX: 0
  • EndNote: 0
Views and downloads (calculated since 15 Nov 2024)
Cumulative views and downloads (calculated since 15 Nov 2024)

Viewed (geographical distribution)

Total article views: 39 (including HTML, PDF, and XML) Thereof 39 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Nov 2024
Download
Short summary
Global warming is a big issue: it is necessary to know more details to make a forecast model and plan adaptation measures. Warming varies in space and time and models often average it over large areas. However, it shows great variations between months of the year. It also varies between regions of the world and between lowland and highland regions. This paper uses statistical and machine learning techniques to quantify such differences between Italy and the UK at different altitudes.
Read more