Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 3
Articles | Volume 18, issue 3
https://doi.org/10.5194/essd-18-2047-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-2047-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 3
Data description article
 | 
20 Mar 2026
Data description article |  | 20 Mar 2026

StageIV-IRC: a high-resolution dataset of extreme orographic Quantitative Precipitation Estimates (QPE) constrained to water budget closure for historical floods in the Appalachian Mountains

Mochi Liao and Ana P. Barros

Viewed

Total article views: 1,236 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
974 214 48 1,236 50 82
  • HTML: 974
  • PDF: 214
  • XML: 48
  • Total: 1,236
  • BibTeX: 50
  • EndNote: 82
Views and downloads (calculated since 19 Sep 2025)
Cumulative views and downloads (calculated since 19 Sep 2025)

Viewed (geographical distribution)

Total article views: 1,236 (including HTML, PDF, and XML) Thereof 1,236 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Apr 2026
Download
Short summary
The StageIV-IRC is the first precipitation dataset developed for extreme precipitation events in the mountains. This dataset strongly suggest the use of Inverse Rainfall Correction (IRC) framework to produce physically-meaningful corrections for precipitation products in the mountains, where precipitation estimation is problematic due to topography blockage. Post-IRC precipitation estimation produces improved hydrological responses, and it shows a good agreement with raingauge observations.
Read more
Share
Altmetrics
Final-revised paper
Preprint