Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 28, issue 1
Articles | Volume 28, issue 1
https://doi.org/10.5194/npg-28-61-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-28-61-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 1
Research article
 | 
22 Jan 2021
Research article |  | 22 Jan 2021

Ensemble-based statistical interpolation with Gaussian anamorphosis for the spatial analysis of precipitation

Cristian Lussana, Thomas N. Nipen, Ivar A. Seierstad, and Christoffer A. Elo

Viewed

Total article views: 2,646 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,904 668 74 2,646 94 80
  • HTML: 1,904
  • PDF: 668
  • XML: 74
  • Total: 2,646
  • BibTeX: 94
  • EndNote: 80
Views and downloads (calculated since 19 Jun 2020)
Cumulative views and downloads (calculated since 19 Jun 2020)

Viewed (geographical distribution)

Total article views: 2,646 (including HTML, PDF, and XML) Thereof 2,467 with geography defined and 179 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Apr 2025
Download
Short summary
An unprecedented amount of rainfall data is available nowadays, such as ensemble model output, weather radar estimates, and in situ observations from networks of both traditional and opportunistic sensors. Nevertheless, the exact amount of precipitation, to some extent, eludes our knowledge. The objective of our study is precipitation reconstruction through the combination of numerical model outputs with observations from multiple data sources.
Read more
Share