Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/amt-14-7681-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-7681-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
Research article
 | 
08 Dec 2021
Research article |  | 08 Dec 2021

Idealized simulation study of the relationship of disdrometer sampling statistics with the precision of precipitation rate measurement

Karlie N. Rees and Timothy J. Garrett

Viewed

Total article views: 1,891 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,293 528 70 1,891 66 64
  • HTML: 1,293
  • PDF: 528
  • XML: 70
  • Total: 1,891
  • BibTeX: 66
  • EndNote: 64
Views and downloads (calculated since 17 Oct 2020)
Cumulative views and downloads (calculated since 17 Oct 2020)

Viewed (geographical distribution)

Total article views: 1,891 (including HTML, PDF, and XML) Thereof 1,871 with geography defined and 20 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Monte Carlo simulations are used to establish baseline precipitation measurement uncertainties according to World Meteorological Organization standards. Measurement accuracy depends on instrument sampling area, time interval, and precipitation rate. Simulations are compared with field measurements taken by an emerging hotplate precipitation sensor. We find that the current collection area is sufficient for light rain, but a larger collection area is required to detect moderate to heavy rain.
Read more