Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 17
Articles | Volume 16, issue 17
https://doi.org/10.5194/amt-16-4067-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-4067-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 17
Research article
 | 
11 Sep 2023
Research article |  | 11 Sep 2023

Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)

Anna Jurczyk, Katarzyna Ośródka, Jan Szturc, Magdalena Pasierb, and Agnieszka Kurcz

Viewed

Total article views: 961 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
734 179 48 961 29 27
  • HTML: 734
  • PDF: 179
  • XML: 48
  • Total: 961
  • BibTeX: 29
  • EndNote: 27
Views and downloads (calculated since 15 May 2023)
Cumulative views and downloads (calculated since 15 May 2023)

Viewed (geographical distribution)

Total article views: 961 (including HTML, PDF, and XML) Thereof 958 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 May 2024
Download
Short summary
A data-processing algorithm, RainGRS Clim, has been developed to work on precipitation accumulations such as daily or monthly totals. The algorithm makes the most of additional opportunities: access to high-quality data that are not operationally available and greater efficiency of the algorithms for data quality control and merging for longer accumulations. Monthly accumulations estimated by RainGRS Clim were found to be significantly more reliable than accumulations generated operationally.
Read more