Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.883 IF 2.883
  • IF 5-year value: 3.321 IF 5-year
    3.321
  • CiteScore value: 3.07 CiteScore
    3.07
  • SNIP value: 1.336 SNIP 1.336
  • IPP value: 2.80 IPP 2.80
  • SJR value: 1.024 SJR 1.024
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 81 Scimago H
    index 81
  • h5-index value: 43 h5-index 43
Preprints
https://doi.org/10.5194/nhess-2020-81
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2020-81
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 27 Mar 2020

Submitted as: research article | 27 Mar 2020

Review status
This preprint is currently under review for the journal NHESS.

Accounting for Non-stationarity in Extreme Snow Loads: a Comparison with Building Standards in the French Alps

Erwan Le Roux1, Guillaume Evin1, Nicolas Eckert1, Juliette Blanchet2, and Samuel Morin3 Erwan Le Roux et al.
  • 1Univ. Grenoble Alpes, INRAE, UR ETNA
  • 2Univ. Grenoble Alpes, Grenoble INP, CNRS, IRD, IGE
  • 3Univ. Grenoble Alpes, Univ. Toulouse, Météo-France, CNRS, CNRM, CEN Grenoble

Abstract. In a context of climate change, trends in extreme snow loads need to be determined to minimize the risk of structure collapse.We study trends in annual maxima of ground snow load (GSL) using non-stationary extreme value models. Trends in return levels of GSL are assessed at a mountain massif scale from GSL data, provided for the French Alps from 1959 to 2019 by a meteorological reanalysis and a snowpack model. Our results indicate a temporal decrease in 50-year return levels from 900 m to 4200 m, significant in the Northwest of the French Alps until 2100 m. Despite this decrease, in half of the massifs, the return level in 2019 at 1800 m exceeds the return level designed for French building standards under a stationary assumption. We believe that this high number of exceedances is due to questionable assumptions concerning the computation of current standards. For example, these were devised with GSL, estimated from snow depth and constant snow density set to 150 kg m−3, which underestimate typical GSL values for the full snowpack.

Erwan Le Roux et al.

Interactive discussion

Status: open (until 14 Jun 2020)
Status: open (until 14 Jun 2020)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Erwan Le Roux et al.

Erwan Le Roux et al.

Viewed

Total article views: 198 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
163 33 2 198 1 1
  • HTML: 163
  • PDF: 33
  • XML: 2
  • Total: 198
  • BibTeX: 1
  • EndNote: 1
Views and downloads (calculated since 27 Mar 2020)
Cumulative views and downloads (calculated since 27 Mar 2020)

Viewed (geographical distribution)

Total article views: 149 (including HTML, PDF, and XML) Thereof 148 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 31 May 2020
Publications Copernicus
Download
Short summary
To minimize the risk of structure collapse due to extreme snow loads, structure standards rely on 50-year return levels of ground snow load (GSL), i.e. levels exceeded once every 50 years in average, that do not account for climate change. We study GSL data in the French Alps massifs from 1959 and 2019 and find that these 50-year return levels are decreasing with time between 900 m and 4800 m of altitude, but still exceed return levels of structure standards for half of the massifs at 1800 m.
To minimize the risk of structure collapse due to extreme snow loads, structure standards rely...
Citation