Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 6
Articles | Volume 30, issue 6
https://doi.org/10.5194/hess-30-1719-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-1719-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 6
Research article
 | 
31 Mar 2026
Research article |  | 31 Mar 2026

Leveraging normalized data to improve point-scale estimates of precipitation–temperature scaling rates

Matthew Switanek, Jakob Abermann, Wolfgang Schöner, and Michael L. Anderson

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Short summary
Extreme precipitation is expected to increase in a warming climate. Station-based measurements of precipitation and dew point temperature are often used to estimate observed precipitation-temperature scaling rates. In this study, we use three different approaches which rely on either raw or normalized data to estimate scaling rates and produce predictions of extreme precipitation. We find that normalizing the data first can improve our estimates of precipitation-temperature scaling rates.
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