Articles | Volume 10, issue 7
https://doi.org/10.5194/amt-10-2557-2017
https://doi.org/10.5194/amt-10-2557-2017
Research article
 | 
20 Jul 2017
Research article |  | 20 Jul 2017

A variational technique to estimate snowfall rate from coincident radar, snowflake, and fall-speed observations

Steven J. Cooper, Norman B. Wood, and Tristan S. L'Ecuyer

Viewed

Total article views: 2,778 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,650 1,029 99 2,778 109 120
  • HTML: 1,650
  • PDF: 1,029
  • XML: 99
  • Total: 2,778
  • BibTeX: 109
  • EndNote: 120
Views and downloads (calculated since 15 Feb 2017)
Cumulative views and downloads (calculated since 15 Feb 2017)

Viewed (geographical distribution)

Total article views: 2,778 (including HTML, PDF, and XML) Thereof 2,730 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Estimates of snowfall rate as derived from radar observations can suffer large uncertainties due to great natural variability in snowflake microphysical properties. We used in situ observations of particle size, shape, and fall speed to refine radar-based estimates of snowfall for five snow events at the ARM Barrow Climate Research Facility. Estimated snowfall amounts agreed well with nearby snow gauge observations and demonstrated significant sensitivity to both particle shape and fall speed.