Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/amt-17-247-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-247-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Research article
 | 
15 Jan 2024
Research article |  | 15 Jan 2024

Assessing sampling and retrieval errors of GPROF precipitation estimates over the Netherlands

Linda Bogerd, Hidde Leijnse, Aart Overeem, and Remko Uijlenhoet

Viewed

Total article views: 3,953 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,642 1,184 127 3,953 167 271
  • HTML: 2,642
  • PDF: 1,184
  • XML: 127
  • Total: 3,953
  • BibTeX: 167
  • EndNote: 271
Views and downloads (calculated since 30 Aug 2023)
Cumulative views and downloads (calculated since 30 Aug 2023)

Viewed (geographical distribution)

Total article views: 3,953 (including HTML, PDF, and XML) Thereof 3,888 with geography defined and 65 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 16 Aug 2026
Download
Short summary
Algorithms merge satellite radiometer data from various frequency channels, each tied to a different footprint size. We studied the uncertainty associated with sampling (over the Netherlands using 4 years of data) as precipitation is highly variable in space and time by simulating ground-based data as satellite footprints. Though sampling affects precipitation estimates, it doesn’t explain all discrepancies. Overall, uncertainties in the algorithm seem more influential than how data is sampled.
Read more
Share