Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 6
Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2951-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-2951-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 6
Research article
 | 
04 Jun 2020
Research article |  | 04 Jun 2020

Ability of an Australian reanalysis dataset to characterise sub-daily precipitation

Suwash Chandra Acharya, Rory Nathan, Quan J. Wang, Chun-Hsu Su, and Nathan Eizenberg

Viewed

Total article views: 4,135 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,165 865 105 4,135 138 167
  • HTML: 3,165
  • PDF: 865
  • XML: 105
  • Total: 4,135
  • BibTeX: 138
  • EndNote: 167
Views and downloads (calculated since 03 Sep 2019)
Cumulative views and downloads (calculated since 03 Sep 2019)

Viewed (geographical distribution)

Total article views: 4,135 (including HTML, PDF, and XML) Thereof 3,702 with geography defined and 433 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 09 May 2026
Download
Short summary
BARRA is a high-resolution reanalysis dataset over the Oceania region. This study evaluates the performance of sub-daily BARRA precipitation at point and spatial scales over Australia. We find that the dataset reproduces some of the sub-daily characteristics of precipitation well, although it exhibits some spatial displacement errors, and it performs better in temperate than in tropical regions. The product is well suited to complement other estimates derived from remote sensing and rain gauges.
Read more
Share