Articles | Volume 18, issue 3
https://doi.org/10.5194/essd-18-2047-2026
https://doi.org/10.5194/essd-18-2047-2026
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

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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.
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