Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.790 IF 4.790
  • IF 5-year value: 5.921 IF 5-year
    5.921
  • CiteScore value: 5.27 CiteScore
    5.27
  • SNIP value: 1.551 SNIP 1.551
  • IPP value: 5.08 IPP 5.08
  • SJR value: 3.016 SJR 3.016
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 63 Scimago H
    index 63
  • h5-index value: 51 h5-index 51
Definitions
Volume 12, issue 7
Volume 12, issue 7
The Cryosphere, 12, 2287-2306, 2018
https://doi.org/10.5194/tc-12-2287-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 12, 2287-2306, 2018
https://doi.org/10.5194/tc-12-2287-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Volume 12, issue 7

Research article 12 Jul 2018

Research article | 12 Jul 2018

A particle filter scheme for multivariate data assimilation into a point-scale snowpack model in an Alpine environment

Gaia Piazzi et al.
Viewed  
Total article views: 1,286 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
896 368 22 1,286 13 20
  • HTML: 896
  • PDF: 368
  • XML: 22
  • Total: 1,286
  • BibTeX: 13
  • EndNote: 20
Views and downloads (calculated since 11 Jan 2018)
Cumulative views and downloads (calculated since 11 Jan 2018)
Viewed (geographical distribution)  
Total article views: 1,208 (including HTML, PDF, and XML) Thereof 1,200 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
3
Search
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 15 Jul 2019
Publications Copernicus
Download
PDF XML
Short summary
The study focuses on the development of a multivariate particle filtering data assimilation scheme into a point-scale snow model. One of the main challenging issues concerns the impoverishment of the particle sample, which is addressed by jointly perturbing meteorological data and model parameters. An additional snow density model is introduced to reduce sensitivity to the availability of snow mass-related observations. In this configuration, the system reveals a satisfying performance.
The study focuses on the development of a multivariate particle filtering data assimilation...
Read more
Citation