Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 7
Articles | Volume 17, issue 7
https://doi.org/10.5194/amt-17-2195-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-2195-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 7
Research article
 | 
17 Apr 2024
Research article |  | 17 Apr 2024

The High lAtitude sNowfall Detection and Estimation aLgorithm for ATMS (HANDEL-ATMS): a new algorithm for snowfall retrieval at high latitudes

Andrea Camplani, Daniele Casella, Paolo Sanò, and Giulia Panegrossi

Viewed

Total article views: 2,915 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,923 804 188 2,915 188 229
  • HTML: 1,923
  • PDF: 804
  • XML: 188
  • Total: 2,915
  • BibTeX: 188
  • EndNote: 229
Views and downloads (calculated since 04 May 2023)
Cumulative views and downloads (calculated since 04 May 2023)

Viewed (geographical distribution)

Total article views: 2,915 (including HTML, PDF, and XML) Thereof 2,832 with geography defined and 83 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 01 Nov 2026
Download
Short summary
The paper describes a new machine-learning-based snowfall retrieval algorithm for Advanced Technology Microwave Sounder observations developed to retrieve high-latitude snowfall events. The main novelty of the approach is the radiometric characterization of the background surface at the time of the overpass, which is ancillary to the retrieval process. The algorithm shows a unique capability to retrieve snowfall in the environmental conditions typical of high latitudes.
Read more
Share
Altmetrics
Final-revised paper
Preprint