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: 962 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
784 130 48 962 39 38
  • HTML: 784
  • PDF: 130
  • XML: 48
  • Total: 962
  • BibTeX: 39
  • EndNote: 38
Views and downloads (calculated since 30 Aug 2023)
Cumulative views and downloads (calculated since 30 Aug 2023)

Viewed (geographical distribution)

Total article views: 962 (including HTML, PDF, and XML) Thereof 932 with geography defined and 30 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Nov 2024
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