Strong Dependence of Extreme Convective Precipitation Intensities on Gauge Network Density

69Citations
Citations of this article
57Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Extreme convective precipitation on subhourly scales is notoriously misrepresented in rain gauge-based observations, but uncertainties are weakly quantified at the 1 to 30 km scale. We employ a unique observing network, the high-density WegenerNet and surrounding operational rain gauge network in southeastern Austria, to sample convective precipitation extremes at these scales. By systematically constructing lower-density networks, we explore how estimated maximum area precipitation depends on observing station density. Using subhourly to hourly temporal resolution, we find a d−0.5(±0.1) power law decay of the event maximum area precipitation over distances d from 1 to 30 km, showing that operational gauge networks underrate extreme convective precipitation falling over small areas. Furthermore, extremes at point scale are found underestimated by operational networks by about 20%. We consider the dependencies representative for short-duration convective events over similar regions at midlatitudes and the results valuable for high-resolution climate model evaluation.

Cite

CITATION STYLE

APA

Schroeer, K., Kirchengast, G., & Sungmin, O. (2018). Strong Dependence of Extreme Convective Precipitation Intensities on Gauge Network Density. Geophysical Research Letters, 45(16), 8253–8263. https://doi.org/10.1029/2018GL077994

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free