Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 3
Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1511-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-1511-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 3
Model description paper
 | 
17 Mar 2021
Model description paper |  | 17 Mar 2021

snowScatt 1.0: consistent model of microphysical and scattering properties of rimed and unrimed snowflakes based on the self-similar Rayleigh–Gans approximation

Davide Ori, Leonie von Terzi, Markus Karrer, and Stefan Kneifel

Viewed

Total article views: 1,803 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,182 581 40 1,803 46 34
  • HTML: 1,182
  • PDF: 581
  • XML: 40
  • Total: 1,803
  • BibTeX: 46
  • EndNote: 34
Views and downloads (calculated since 09 Nov 2020)
Cumulative views and downloads (calculated since 09 Nov 2020)

Viewed (geographical distribution)

Total article views: 1,803 (including HTML, PDF, and XML) Thereof 1,537 with geography defined and 266 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
Short summary
Snowflakes have very complex shapes, and modeling their properties requires vast computing power. We produced a large number of realistic snowflakes and modeled their average properties by leveraging their fractal structure. Our approach allows modeling the properties of big ensembles of snowflakes, taking into account their natural variability, at a much lower cost. This enables the usage of remote sensing instruments, such as radars, to monitor the evolution of clouds and precipitation.
Read more