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

Liao, Mochi; Barros, Ana P.

doi:10.5194/essd-18-2047-2026

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

Data sets

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 Barros https://doi.org/10.5281/zenodo.14028866

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.