Journal metrics

Journal metrics

  • IF value: 2.281 IF 2.281
  • IF 5-year value: 2.693 IF 5-year 2.693
  • CiteScore value: 2.43 CiteScore 2.43
  • SNIP value: 1.193 SNIP 1.193
  • SJR value: 0.965 SJR 0.965
  • IPP value: 2.31 IPP 2.31
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 73 Scimago H index 73
Nat. Hazards Earth Syst. Sci., 11, 3227-3233, 2011
https://doi.org/10.5194/nhess-11-3227-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
09 Dec 2011
Summarising changes in air temperature over Central Europe by quantile regression and clustering
S. M. Barbosa1, M. G. Scotto2, and A. M. Alonso3 1Instituto Dom Luiz, Universidade de Lisboa, Portugal
2Departamento de Matemática, Universidade de Aveiro, Portugal
3Departamento de Estadística, Instituto Flores de Lemus, Universidad Carlos III de Madrid, Spain
Abstract. The analysis of trends in air temperature observations is one of the most common activities in climate change studies. This work examines the changes in daily mean air temperature over Central Europe using quantile regression, which allows the estimation of trends, not only in the mean but in all parts of the data distribution. A bootstrap procedure is applied for assessing uncertainty on the derived slopes and the resulting distributions are summarised via clustering. The results show considerable spatial diversity over the central European region. A distinct behaviour is found for lower (5%) and upper (95%) quantiles, with higher trends around 0.15 °C decade−1 at the 5% quantile and around 0.20 °C decade−1 at the 95% quantile, the largest trends (>0.2 °C decade−1) occurring in the Alps.

Citation: Barbosa, S. M., Scotto, M. G., and Alonso, A. M.: Summarising changes in air temperature over Central Europe by quantile regression and clustering, Nat. Hazards Earth Syst. Sci., 11, 3227-3233, https://doi.org/10.5194/nhess-11-3227-2011, 2011.
Publications Copernicus
Download
Share