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.
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.
the Creative Commons Attribution 4.0 License.
Data description article
| 
20 Mar 2026
Data description article |
| 20 Mar 2026
| 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
Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
Ana P. Barros
CORRESPONDING AUTHOR
Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
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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.
The StageIV-IRC is the first precipitation dataset developed for extreme precipitation events in...
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